Aug. 26, 2024

Trust in AI, AGI, and Humanoid Robots | Robert Scoble - Ep 13

Trust in AI, AGI, and Humanoid Robots | Robert Scoble - Ep 13

Listen to the REPLAY of the LIVE Friday, August 23rd full length episode 13th of TRUST FACTOR as Rob Greenlee hosts an intriguing and thought-provoking conversation with the renowned tech evangelist and futurist Robert Scoble, also known as...

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Apple Podcasts podcast player iconSpotify podcast player iconYoutube Music podcast player iconRSS Feed podcast player icon

Listen to the REPLAY of the LIVE Friday, August 23rd full length episode 13th of TRUST FACTOR as Rob Greenlee hosts an intriguing and thought-provoking conversation with the renowned tech evangelist and futurist Robert Scoble, also known as Scobleizer!

As we move closer to a future where AI and Artificial General Intelligence (AGI) become a reality, robots like Tesla Optimus may gain unprecedented autonomy and human-like capabilities. But with these advancements come pressing questions: Can we trust these artificial beings? What happens when they start to develop human rights? How will billions of AI-driven robots impact our society?

00:00 Introduction to Trust Factor
01:10 Guest Introduction: Robert Scoble
02:46 Trust in Autonomous Technology
04:27 AI and Data Privacy Concerns
08:28 Augmented Reality and Future Tech
13:40 Humanoid Robots and Their Impact
29:43 The Future of Work with Robots
44:54 Robots in Space and Military Applications
51:16 Self-Driving Cars in Remote Areas
51:53 Security and Trust in Autonomous Systems
52:58 Human Trust in Technology
54:41 AI and Data Privacy
56:22 AI in Content Creation
58:22 Military Applications of AI and Robotics
01:00:58 Future of Warfare: Robots and Drones
01:02:59 AI in Everyday Life
01:09:11 The Rise of Humanoid Robots
01:13:40 AI in Service and Subscription Models
01:16:47 AI in Content Creation and Podcasting
01:21:07 The Future of AI and Human Interaction
01:30:32 Trust and Ethical Concerns in AI
01:37:12 Skepticism of Tech Reliability
01:37:44 Tesla's Full Self-Driving Updates
01:38:01 Obsolescence and Hardware Limitations
01:41:07 Trust in Autonomous Vehicles
01:44:57 Insurance Implications of Autonomous Cars
01:47:31 Future of Autonomous Ride Services
01:48:37 Self-Cleaning Robot Taxis
01:50:50 Consistency in Autonomous Services
01:57:10 AI's Role in Programming and Jobs
02:02:05 Virtual Beings and Future Tech
02:03:33 Apple's AI Innovations
02:05:17 Holodeck and Virtual Reality
02:15:52 Privacy and Data in AI
02:18:00 Conclusion and Future Prospects

Follow Robert Scoble:
Website: http://scobleizer.com
Twitter: https://twitter.com/scobleizer
LinkedIn: https://www.linkedin.com/in/scobleizer/
YouTube: https://www.youtube.com/user/scobleizer

Follow Rob Greenlee:
Website: https://robgreenlee.com
Twitter: https://twitter.com/robgreenlee
LinkedIn: https://www.linkedin.com/in/robgreenlee/
YouTube: https://www.youtube.com/channel/UCEXRFz7tTpJzt9iwgb_MH1g

WEBVTT

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Trust Factor with Ron Greenley, focuses on all aspects to

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building human trust in online communications.

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Well, thank you so much for being here for Trust Factor.

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This program is really all about the essential elements and

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the profound impacts on your happiness, security, safety, and future

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and who or what do you trust as we look

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to our present and as you look to our future

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and ahead. In the show today, we're going to do

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a deep dive on the future of trust in the

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world of AI, AGI and autonomous robots. And I've got

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a terrific guest wit with me, And the goal of

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the show really is to help us understand the trust

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in our lives and being that we're being pushed to

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the limit in our perceptions around the impacts of AI

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and the future of AGI. I've got a trific guest

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with me. His name is Robert Scobel, and I'll bring

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him up on the stage here a second. He's probably

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most known for being the Scobilizer at scobilizer dot com,

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and I'll pull up his website here in a minute.

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He's also a host of an online on video show

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that's on YouTube as well as X called Unaligned. I

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happen to be wearing his a shirt from his brand.

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So it's kind of a cool brand as it comes

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to AI and robots and things like that. How we're

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all struggling to cope and really kind of deal with

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this kind of feeling of being unaligned with the technology

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and I was developing as we look to the future.

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So Robert is a renowned technology evangelists. He's a futurist

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and known for his deep insights into emerging technologies and

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that includes AI, r VR, and cloud computing. He's been

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around the tech landscape for a long time. Is very

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well known in Silicon Valley and around the world for

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being an outspoken evangelist and really a passionate kind of

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aggregator of thought leadership in the technology sector and has

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really been known for many years for his blog. And

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so so let's go ahead and bring Robert up to

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the stage, and I'll play a little bit of a

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video here in a second from his Unaligned TV show

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and so we can really see what he's up to.

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So let's bring him up to the stage, and Roberts,

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thank you for joining me.

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Roberts, what's going on? Trust when it comes to technology

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is about to really change. I trust, my family's life

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in an autonomous car next to a wall going eighty

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miles that I do.

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The same thing. I just drove all the way down

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to Washington, d C. With autonomous driving and it took

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me all the way down there.

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Yeah. Yeah, So we've been around. We're getting old together. Man.

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I was at Apples first child labor and Siri was

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launched on my show. And I've just had a crazy

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career of watching the bleeding edge of the tech industry

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and we're about to change into a different kind of technology.

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I mean, in five years, there's a good chance to

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you and I have a robot in our house.

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I've been thinking a lot about that. Actually, I think

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I have a robot in my house right now. And

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it's called a Tesla Model three.

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That's true, but it's in the garage and can't come

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in the kitchen and do your dishes.

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That's well, that's true. But I think that there is

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some things that the robot can do that may be

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a little bit more value. Right, But are we going.

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To trust it with our house and are we going

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to let it? Hey humanoid robot go clean clean all

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my doors and it finds the sex toys next to

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the bed that's another level of trust, right, well, and

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also not ready for that.

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It's about privacy too, I mean.

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That's what I mean. It's gonna have cameras eyes, and

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it knows everything about the world around you, and it

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probably knows what kind of sex toys you have and

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how to buy another one on Amazon dot Com, right,

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because Amazon dot com sells sex toys.

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Yeah. And you've been known for a long time of

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kind of trying to pull back the covers on this right,

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peel back the onion, or however you want to say

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it on the what's been termed many times, but by

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you as the freaky factor, right, Yeah, and that's kind

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of what we're coming into as an age of lots

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of freaky factors.

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Well, here's when last Saturday, entrepreneur came to my house

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and showed me a prototype of what he was building.

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He's building a virtual being that uses a cell phone

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camera to see. So I was walking around with my

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camera and a virtual being was in my glasses. It

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could see the kinds of lights I had had in

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my house. Right, and go a nice podcasting setup, you know,

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like what and AI know can tell me about the

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you know, tell prompter. I have and the lights I

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have and the microphone I have right, and judge me,

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it's like, oh, there's a lot that's about to change.

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Yeah, and I do agree. Well, let me step back

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and say a little bit that part of this is

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about sensors right, getting into our lives and being able

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to detect data in the real world and be able

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to feed that up to some sort of algorithm or

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bigger kind of tech stack that can analyze that and

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make recommendations to us, actually make decisions for us. But

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that's a whole everything in the Smithsonian.

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Walked around Washington, DC recently with my kids and took

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pictures like in the Air and Space Museum, the Holocaust Museum,

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and went to Thomas Jefferson's house, took pictures there, and

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I fed it into chat GPT from open Ai company,

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and it knew everything.

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Everything that's freaky right.

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Everything. It's like everything I took a picture of it

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could tell me where I was standing, what I was

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looking at, all sorts of things. It's like, whoa, people,

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This is what I'm saying. When you get a humanoid robot,

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it's going to know everything in your house and you're

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going to go, how does it know every brand in

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your house because it knows already certainly knows what Coca Cola.

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Is, right, And I think that's been one of the

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kind of dark spots of the data gathering, right is

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kind of local neighborhoods and in your own personal residence.

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Those kind of things have been a little bit of

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a dark spot for AI and technology in general to

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actually know those things. Granted, we're putting lots of photographs

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out there and lots of other types of information about ourselves,

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but I agree with you. I think that everything is

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going to be under surveillance or able to be quantified

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in some sort of a sensor. Even our human bodies

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can be detected at a much deeper level, and I

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think there is aspirations for getting inside the body and

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really understanding what's going on. And that could be good

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or it could be kind of scary too.

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Dag Kit Laus and my phone went, it's outside. Dag

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Kit Laus the co founder Siri, one of the three

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co founders the Siri just started a new company called

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Riva Health, and he showed me what he's building. You

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put your finger on an iPhone camera and it tells

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you your blood pressure. So You're absolutely right. We're about

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to get a lot of new capabilities because AI and

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these new large language models that are running like Chat

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GPT or Google Gemini or Anthropic Cloud or Perplexity, these

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kinds of things, and they're getting vision feature and they're

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ganging voice features at a frightening rate, and they're getting better. Right,

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And so you start to going, oh, she's the new

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chat GPT mobile app. You talk to it and it

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talks back in real time. Right, this is not Siri anymore.

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It's a new form of AI that's doing this, and

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it knows everything that you aim the camera at. Right,

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So you're at Yosemite National Park, you aim, the camera

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will tell you, Oh, that's have to I'm over there,

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that's right as you seventy vollves, it'll tell you that

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because it knows everything. It knows everything. Then just start

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with that kind of understanding of where we're about to go.

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Yeah, and then also later on top of that, were

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Robert things that you've been talking about augmented reality too,

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So how do these those two things? And then we'll

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dive into the whole kind kind of robot stuff, But

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how is a augmented reality going to factor into this.

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We're about to get a pair of AI driven glasses

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from a number of different vendors. I just was at

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Display Week a couple of months ago here in Silicon

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Valley and I saw the new augmented reality glasses that

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are coming out. They have a projector that's a quarter

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the size of a sugar cube. Wow, at the edge

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of a wave guide that looks like something like this,

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and there's a projector shoving light into the glass, and

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then there's trillions of little or billions of little mirrors

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that are reflecting that image into your eye and it

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gives you a seven twenty p monitor in front of

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you at about a seventy degree field of you, which

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means the glasses aren't going to be completely immersive. I

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mean I just was at Somnium Space in Prague and

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they have a VR headset that's one hundred and forty

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degree field of you, so twice as much field of you,

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and you're really immersed, like if you're flying a flight

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simulator in that it's really immersive and really messes with

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with your mind into thinking that you're inside a real

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plane flying around.

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Yeah, it's Gonnay.

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Glasses are going to be pretty fun to play with

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when they come out. There's several of them coming in

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the next eighteen months. This Snap is going to announce

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one in this fall. Mark Zuckerberg's Meta is coming out

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with one that's sposedly they're going to show it off

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this fall for the first time and then have it

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for sale in about eighteen months.

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So it is the form factor a little closer to

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what you would have with like eyeglasses.

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Yeah, the lighter weight displays. Yeah, these wave guides that

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I'm tying. So the augmented reality world is going to

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split into two. One is going to be one is

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a heavier device like this, right, a Vision Pro, a bigger,

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heavier device that has four K displays inside and has

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more immersion. It gives you more field of view so

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that you feel like you're really in the thing. The

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glasses I'm talking about are seven twenty P displays and

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less field of view about seventy let's call it sixty

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or seventy degrees field of view, which is not completely immersive,

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but pretty good, right, better than the hole lens and

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lightweight pair of glasses, and that that'll kick off. It's

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not that the mainstream is going to show up in

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eighteen months. But you and I are going to get

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a pair in eighteen months, and that'll kick off the

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mainstream over the next three four years.

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Yeah. As I was kind of doing a little deeper

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research on this topic of where we're moving with AI

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and robotics and stuff, I just found so much information

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about how this is, how this could roll out, and

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how it's going to potentially impact our world and how

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we think about technology and all of our work and

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our lives, and I mean, it's so it's such a

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profound shift. That's a big reason why I wanted to

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do this episode because there's just so many elements to it,

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and I think we could probably do a three hour

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episode on oh yeah, because there's just so much implications.

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Yeah, every every night or two I'm on Twitter or

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an x space and audio space talking to people from

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around the world about about this new world coming at us,

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And yeah, we can talk for hours, many hours.

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Yeah, and it probably wouldn't even cover most of the situation.

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Yeah, I mean, but certainly you can cover it superficially.

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But if you are an engineer and building this stuff,

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we're not going to get very deep. And we're not

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going to tell you how to take sensor reading off

220
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the eyes and do something with the hands. That takes

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a little bit more talent than I have.

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So I wanted to pull up your longtime blog so

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people could see it.

224
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And yeah, I'm wearing the T shirt. It's good.

225
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And this will kind of kick off our bigger topic.

226
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And your your website is here. Let me pull it

227
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up here. I've got it as far as your address.

228
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I thought I had it here, handy, let's sit here.

229
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It's in here somewhere. Where did it go?

230
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All right?

231
00:12:30.360 --> 00:12:33.799
Maybe I don't, but I thought I did. So let's

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sit here so I can find it here. Oh yeah,

233
00:12:36.840 --> 00:12:41.080
here it is. So yeah, so here's your two Actually

234
00:12:41.159 --> 00:12:44.759
the first two domain names are your website. So blog

235
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is the best place to go. And you've got really

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long form content over there.

237
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So and on ax I write every once in a

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while and quirk a couple of thousand words.

239
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Yeah, so yeah, So it's awesome. And this article really

240
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goes into a lot of detail about this topic, about

241
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the Tesla Optimus and the opportunity of that and where

242
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it's going in its consumer strategy as you look out

243
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to twenty twenty eight and beyond, And I think, I

244
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don't know what you think the timeframes on these things are, but.

245
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Yeah, there's several humanoid robots coming next year. One x

246
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dot Tech told me they're coming next year, and the

247
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AI team told me that this stuff is happening a

248
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lot faster than people know about. So yeah, now, when

249
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is it going to be that all my family and

250
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friends has a robot in their house. We're still talking

251
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probably the twenty thirties coming for that. But me and you,

252
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I mean, there's a Paul Walt company down here that's

253
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making a little four foot humanoid kind of thing. They're

254
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three D printing it, and it costs about eight thousand

255
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dollars to build one of those on a three D

256
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printer and by the electric motors and everything for it.

257
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So it shows that the costs coming down to the

258
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consumer level. It's still a little expensive for a consumer,

259
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but we can see how we're going to get there.

260
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I mean, Steve Wisenach showed me his first color printer

261
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back in nineteen eight eighty nine. In fact, it was

262
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probably the first color printer in Solicon Valley. It was

263
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a dice sublimation painter to run photoshop one point zero

264
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and it cost forty five thousand dollars and today my

265
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seventy dollars printer is way better. Right, So I went

266
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from forty five thousand dollars to seventy dollars in twenty

267
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years or so.

268
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Yeah, So what do you think the costs on these

269
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things were going to be when they started to become available?

270
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There's so much demand for using it in labor. My

271
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brother wants to buy three of them. He owns a bar,

272
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and he owns two bars in Virginia, and he's like,

273
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I'd buy a couple of those right away, and I'd

274
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pay it one hundred thousand dollars for him, right, And so,

275
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because there's so much need for a labor like that, right,

276
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And if it gets that good where it could wash

277
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dishes is or load up a beer keg or these

278
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menial things. It really can be useful in a business

279
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like that. And it's cheaper than buying then hiring another

280
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employee for twenty bucks an hour.

281
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Right, that's certainly true. And it doesn't have to sleep,

282
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I guess it only has to have some time to

283
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charge hard.

284
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You can get two of them, and when's charging, when's work?

285
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Yeah, it's constant where you're going, right, but now.

286
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Or maybe there's a battery pack, it'll unplug it and

287
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put it on a charger and take the fresh one

288
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up and plug it into itself and go back to work.

289
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Maybe it'll have a hot swap kind of thing like.

290
00:15:38.559 --> 00:15:41.000
That, right, Yeah, well that's only possible. I know that

291
00:15:41.360 --> 00:15:45.360
Tesla has been working on this, a robotic arm that

292
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can come down and plug into your Tesla when you

293
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pull in the garage or at a charging station, so

294
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you don't even have to get out of the car

295
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to plug your car in.

296
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Wait, in a couple of years, there's not going to

297
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be a human in the car, right, so it needs

298
00:15:59.879 --> 00:16:02.000
to have a robot like that. I'll let that'll flag

299
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you in because someday you're going to send your car

300
00:16:05.440 --> 00:16:08.759
to go get charged, or it'll just automatically. Oh I

301
00:16:08.840 --> 00:16:12.120
need I'm down that twenty percent. I better go get charged.

302
00:16:12.720 --> 00:16:14.879
And yeah, how is it going to get flagged in? There?

303
00:16:14.960 --> 00:16:16.720
Is there going to be a human there? I don't think,

304
00:16:16.759 --> 00:16:18.240
So it's going to be a robot.

305
00:16:18.519 --> 00:16:20.000
Yeah, And a lot of people are going to be

306
00:16:20.039 --> 00:16:23.320
able to make their Teslas available for the Robotaxi fleet.

307
00:16:23.679 --> 00:16:26.039
But I do. I thought it was interesting though that

308
00:16:26.120 --> 00:16:29.919
the uber CEO came out and made some critical comments

309
00:16:29.960 --> 00:16:35.320
about the plans for Tesla on their Robotaxi fleet. Right,

310
00:16:35.480 --> 00:16:39.840
that would be from regular Tesla owners, right, And I

311
00:16:39.840 --> 00:16:43.639
thought you raise some kind of interesting questions about that, is,

312
00:16:43.759 --> 00:16:46.279
are people generally going to want to let their cars

313
00:16:46.360 --> 00:16:50.399
be rowed in by random strangers? I think it's a

314
00:16:50.399 --> 00:16:50.919
big question.

315
00:16:51.240 --> 00:16:54.720
It is, But there's a lot of other things that

316
00:16:54.840 --> 00:16:58.919
will add value to the car long before you start

317
00:16:58.960 --> 00:17:02.679
picking up strangers. For instance, on Friday around Saturday, after

318
00:17:02.759 --> 00:17:06.839
drop my wife off at the airport, well, she often

319
00:17:06.880 --> 00:17:11.119
takes an uber so why not take a Tessa. Why

320
00:17:11.160 --> 00:17:14.920
not take our Tessa and have it drive back to me? Right?

321
00:17:15.039 --> 00:17:18.279
Why are you parking a car and a parking garage

322
00:17:18.279 --> 00:17:20.920
and paying thirty five bucks a day for the parking

323
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garage when it could just turn around and go park

324
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at home.

325
00:17:25.240 --> 00:17:28.960
Yeah? Yeah, And there was certainly a lot of scenarios

326
00:17:29.039 --> 00:17:31.599
that are going to come up about how to use

327
00:17:31.640 --> 00:17:35.680
these these robots of sorts, if their cars or human

328
00:17:35.720 --> 00:17:40.400
eyed robots that it's hard to imagine, and those are

329
00:17:40.559 --> 00:17:44.519
things that will come up as we get these type

330
00:17:44.519 --> 00:17:47.480
of devices. But like you just expressed, I hadn't thought

331
00:17:47.519 --> 00:17:50.599
of that part, but I have thought about having someone

332
00:17:52.599 --> 00:17:55.000
take me to the airport and then just ride back

333
00:17:55.039 --> 00:17:56.799
in the car. It's not like it's a big burden

334
00:17:56.799 --> 00:17:58.960
to them because they don't really have to drive. They

335
00:17:59.039 --> 00:18:02.319
just have to turn it on and then come back. Right,

336
00:18:02.680 --> 00:18:06.000
So it goes both ways, but certainly having it not

337
00:18:06.200 --> 00:18:08.559
need a human in the car is a whole interesting

338
00:18:09.279 --> 00:18:11.920
kind of deal. And then it goes back to where it's.

339
00:18:12.319 --> 00:18:15.680
You can you can send your car to pick up

340
00:18:15.720 --> 00:18:18.759
a family member, or you go over and pick up

341
00:18:18.799 --> 00:18:21.240
your best friend and then bring your best friend over

342
00:18:21.319 --> 00:18:26.039
the house. Right yeah, for stuff like that. Right, Certainly,

343
00:18:26.079 --> 00:18:28.400
if you're going to do anything like drinking or anything,

344
00:18:28.799 --> 00:18:31.160
you want an autonomous car because then you can not

345
00:18:31.359 --> 00:18:35.039
worry about causing a tragedy or getting arrested or something

346
00:18:35.079 --> 00:18:35.640
like that. Right.

347
00:18:35.720 --> 00:18:37.680
Yeah, I think they call that drunk mode, Right, is

348
00:18:37.680 --> 00:18:38.039
that the.

349
00:18:39.240 --> 00:18:41.119
Well, and we're talking in a couple of years, a

350
00:18:41.119 --> 00:18:43.920
few years, but you can already do that in San Francisco.

351
00:18:44.200 --> 00:18:46.559
You can take if you're going out to the bars,

352
00:18:46.599 --> 00:18:50.200
you can take away Moo back to the hotel. Right Exactly,

353
00:18:50.440 --> 00:18:53.680
there's no human in the car, it's already here, right,

354
00:18:53.799 --> 00:18:57.279
So it's not just Tesla doing this, it's Zeke's and

355
00:18:57.319 --> 00:19:00.920
Wayma and Cruise from General Mode, which just made a

356
00:19:00.960 --> 00:19:04.200
deal with Uber just yesterday they announced that they're going

357
00:19:04.279 --> 00:19:07.559
to supply autonomous cars to the Uber network, which is

358
00:19:07.799 --> 00:19:09.480
real smart general motors to do.

359
00:19:09.960 --> 00:19:13.839
Righteah, yeah, exactly. Yeah. So, as we move closer to

360
00:19:14.440 --> 00:19:17.119
the future of AI, I'm going to transition into talking

361
00:19:17.119 --> 00:19:19.480
a little bit more about AI and robots. But the

362
00:19:19.599 --> 00:19:22.480
artificial general intelligence I've been hearing talk I heard I

363
00:19:22.480 --> 00:19:25.920
think it was Peter Thield talk about this here recently

364
00:19:26.200 --> 00:19:30.960
on the whole touring skills right, as a bigger factor

365
00:19:31.759 --> 00:19:35.599
in AI than probably AGI. Right, Yeah, it feels like

366
00:19:35.680 --> 00:19:38.400
AGI is a little bit of a two. It's too

367
00:19:38.440 --> 00:19:40.759
ethereal of what it really means.

368
00:19:40.839 --> 00:19:43.680
But I think here's a simple way. I think when

369
00:19:43.720 --> 00:19:46.400
I went to the one ex robot company, they spilled

370
00:19:46.400 --> 00:19:51.000
some coffee on the table on purpose to watch how

371
00:19:51.000 --> 00:19:54.000
the robot would clean it up, And the robot had

372
00:19:54.039 --> 00:19:56.200
to be told to clean it up. Right, Hey, there's

373
00:19:56.200 --> 00:19:58.440
a mess here, can you clean it up with a

374
00:19:58.680 --> 00:20:03.680
With future AI, it's going to do that automatically, right, right,

375
00:20:04.200 --> 00:20:06.839
because it's going to be smarter. Right now, it can't

376
00:20:06.960 --> 00:20:10.000
really take its own actions, it has to wait for

377
00:20:10.079 --> 00:20:13.440
directions from a human being. But with the AGI world,

378
00:20:13.720 --> 00:20:15.880
it's going to be smart enough to take its own

379
00:20:15.960 --> 00:20:19.359
actions and plan out its own day and plan out

380
00:20:19.440 --> 00:20:24.759
its own tasks, right yeah, And that to me, that's

381
00:20:24.799 --> 00:20:28.880
when AGI is really here. And many people in the

382
00:20:29.079 --> 00:20:32.319
industry say it's two years away, which eighteen months again

383
00:20:32.960 --> 00:20:34.079
yeah right yeah.

384
00:20:34.119 --> 00:20:37.920
So this Turing test, I guess, is really more about

385
00:20:38.039 --> 00:20:42.960
kind of the AI having human characteristics and their ability

386
00:20:43.039 --> 00:20:47.359
to process information and make decisions, right, and they're more autonomous,

387
00:20:47.640 --> 00:20:50.279
I guess in taking less directions. So we're probably going

388
00:20:50.359 --> 00:20:53.119
to have what two different types of robots, Ones that

389
00:20:53.160 --> 00:20:56.039
are very much task driven or well, you got your

390
00:20:56.119 --> 00:20:58.799
vacuum to do, and then ones that think for themselves.

391
00:20:58.880 --> 00:21:01.720
Right, Well, you got your vacuming robot, which it's mission

392
00:21:01.839 --> 00:21:04.519
is to keep your floor clean, right, and that's all

393
00:21:04.559 --> 00:21:08.039
it really does. It's very specialized kind of robot. This

394
00:21:08.200 --> 00:21:11.000
humanoid robot can do all sorts of things from teaching

395
00:21:11.039 --> 00:21:14.000
you to dance to washing your dishes.

396
00:21:13.960 --> 00:21:17.240
Right yeah. Yeah, So there's going to be probably two

397
00:21:17.319 --> 00:21:20.480
major types of these AI driven robots right, that have

398
00:21:20.839 --> 00:21:24.400
different skills or abilities, and you'll probably pay a premium

399
00:21:24.440 --> 00:21:28.039
for an AGI robot as opposed to a skills robot

400
00:21:28.119 --> 00:21:30.680
that we see right now in manufacturing and ones that

401
00:21:30.680 --> 00:21:33.839
are very kind of task oriented. So I wanted to

402
00:21:34.039 --> 00:21:35.240
mention also, the AI.

403
00:21:35.119 --> 00:21:37.720
Is getting smarter, so you're going to even see that.

404
00:21:38.160 --> 00:21:41.839
Even the vacuuming robots are really getting much more capable

405
00:21:41.960 --> 00:21:44.799
because they first of all, they're getting camera sensors and

406
00:21:44.799 --> 00:21:47.480
three D sensors on these little robots which they didn't

407
00:21:47.519 --> 00:21:51.319
have before, so they can see things like wires or

408
00:21:52.240 --> 00:21:56.960
couches or stuff to go and clean and avoid right fringes.

409
00:21:57.200 --> 00:22:00.559
They can understand that a lot better. And the software,

410
00:22:00.599 --> 00:22:04.599
the AI itself is just getting much more capable of

411
00:22:04.720 --> 00:22:07.359
understanding the world it's in, and so it just does

412
00:22:07.400 --> 00:22:12.119
a much better job and has new capabilities. But yeah,

413
00:22:12.920 --> 00:22:15.880
I was thinking back to your show name Trust. There's

414
00:22:15.920 --> 00:22:18.480
a lot that's kind of come with a robot because

415
00:22:18.480 --> 00:22:22.359
it a humanoid robot is going to know everything about

416
00:22:22.400 --> 00:22:25.559
you literally.

417
00:22:25.799 --> 00:22:28.160
Thus it's going to be connected to the Internet, it's

418
00:22:28.200 --> 00:22:32.960
going to be connected to AI models which are learning right,

419
00:22:33.119 --> 00:22:36.279
So the models right right, and.

420
00:22:36.799 --> 00:22:40.359
Like you'll know how to find you a specific thing

421
00:22:40.440 --> 00:22:44.000
in a Lows right on what aisle and where is it,

422
00:22:44.519 --> 00:22:47.319
and once we get enough data, it'll be really accurate.

423
00:22:47.400 --> 00:22:52.039
Right now, it's accurate, right, yeah, it's exactly. And a

424
00:22:52.160 --> 00:22:54.640
humanoid robot needs to know where a screw is in

425
00:22:54.720 --> 00:22:56.599
the lows because you're going to send it to the

426
00:22:56.640 --> 00:22:59.119
Lows to get you a screwdriver or screw, and so

427
00:22:59.160 --> 00:23:00.920
I better be able to find that and a less

428
00:23:01.279 --> 00:23:04.960
it already does. You know? This is the world model

429
00:23:05.000 --> 00:23:09.359
that's being built, and that's a lot of trust to

430
00:23:09.440 --> 00:23:14.079
give a robot because it's going to know everything. It's great.

431
00:23:14.480 --> 00:23:16.640
I mean, I'm joking around about the sex toys, but

432
00:23:16.839 --> 00:23:19.119
not really. I mean, you're going to tell your robot

433
00:23:19.160 --> 00:23:21.359
to clean all your drawers one day, and it's going

434
00:23:21.400 --> 00:23:26.079
to find all your sex toys if you have any right.

435
00:23:26.160 --> 00:23:28.720
That's a lot of trust for people to give that computer.

436
00:23:29.160 --> 00:23:32.640
And I still see some big holes even in the

437
00:23:33.039 --> 00:23:37.400
Tesla full self driving and its ability to navigate the world.

438
00:23:38.000 --> 00:23:39.880
I was thinking about this yesterday when I was coming

439
00:23:39.880 --> 00:23:42.880
back from washingt DC. Is that I'm in like a

440
00:23:42.920 --> 00:23:45.839
parking lot at like a retail store or a restaurant

441
00:23:45.920 --> 00:23:48.200
or something like that, and I activate the self driving

442
00:23:48.240 --> 00:23:51.519
it currently still struggles to get out of the parking lot.

443
00:23:51.759 --> 00:23:54.920
And it's really because I'm not sure that the maps

444
00:23:54.920 --> 00:23:57.200
out there, like Google Maps and those kinds of things,

445
00:23:57.240 --> 00:24:00.319
are really at the detail level. Most of them are

446
00:24:00.359 --> 00:24:04.440
just mapping the main roads, right, so the Tesla vehicle

447
00:24:04.480 --> 00:24:07.599
doesn't really have good access. So I would think that

448
00:24:07.640 --> 00:24:09.880
the Google maps are going to have to be more

449
00:24:09.920 --> 00:24:12.759
complete to the full landscape and be able to index

450
00:24:13.359 --> 00:24:15.400
everything the right.

451
00:24:16.519 --> 00:24:19.519
Keep in mind, I met the mapping team at Tesla

452
00:24:19.640 --> 00:24:22.640
in time and they said everything is Google. That Google

453
00:24:22.680 --> 00:24:25.680
makes the tiles on the display of the map, but

454
00:24:25.799 --> 00:24:30.279
everything underneath that is Tesla's, right, All the data is Teslass.

455
00:24:30.680 --> 00:24:33.720
And so they could rip out the Google part and

456
00:24:33.799 --> 00:24:37.319
put in their own part and get a much more

457
00:24:37.359 --> 00:24:41.279
capable map for their users. And I'm expecting something like

458
00:24:41.319 --> 00:24:44.759
that in the next eighteen months because that the data

459
00:24:44.960 --> 00:24:50.240
Tesla has its incredible Tesla goes across the Golden gate

460
00:24:50.240 --> 00:24:54.079
Bridge every three seconds. Nobody else does. Nobody else has

461
00:24:54.079 --> 00:24:56.400
an AI computer going across the Golden gate Bridge at

462
00:24:56.400 --> 00:25:00.599
that kind of quantity, right, that's right, So you start

463
00:25:00.599 --> 00:25:04.319
thinking about always say it has nine cameras and we

464
00:25:04.400 --> 00:25:07.839
have multimodal models now that can tell everything. So if

465
00:25:07.839 --> 00:25:10.279
it goes by a truck on fire on the bridge,

466
00:25:11.079 --> 00:25:13.759
it can tell God up in the sky, the cloud

467
00:25:13.799 --> 00:25:16.200
computing up in the sky for Tesla, Hey, there's a

468
00:25:16.240 --> 00:25:18.640
truck on fire. Here's a Gaussian splat of the truck

469
00:25:18.680 --> 00:25:23.440
burning down. Right, Yeah, and then people could be using

470
00:25:23.440 --> 00:25:27.039
glasses and actually walk around the truck on fire in

471
00:25:27.200 --> 00:25:28.599
the digital digital truck.

472
00:25:28.720 --> 00:25:30.000
Right.

473
00:25:31.039 --> 00:25:34.000
And that's a new kind of map because it needs

474
00:25:34.000 --> 00:25:37.000
to put that on the map and explain where you

475
00:25:37.000 --> 00:25:40.759
should where the computer should take you right and avoid

476
00:25:41.039 --> 00:25:43.200
because there's a police action all of a sudden, because

477
00:25:43.200 --> 00:25:46.400
there's a truck burning down, and I can tell you, oh,

478
00:25:46.480 --> 00:25:52.839
there's three lanes a traffic blocked. Get over to lane one.

479
00:25:53.440 --> 00:25:55.400
You'll see all these Tesla's all of a sudden just

480
00:25:55.480 --> 00:25:58.000
changing lanes to lane one. You'll be like, what the

481
00:25:58.039 --> 00:26:00.640
hell is going on? And then you'll my later you'll

482
00:26:00.640 --> 00:26:03.599
see a truck on fire and you're like, how did

483
00:26:03.599 --> 00:26:05.559
they all know that there's a truck on fire in

484
00:26:05.640 --> 00:26:08.799
lane three? And they all of them moved over lane one?

485
00:26:09.599 --> 00:26:11.519
Was how that did that happen?

486
00:26:11.880 --> 00:26:15.440
Yeah, it was because prior to Teslas went through their SOT.

487
00:26:15.279 --> 00:26:17.359
Right every three seconds, right.

488
00:26:17.359 --> 00:26:20.279
Yeah, yeah, so yeah, it's interesting.

489
00:26:20.359 --> 00:26:22.759
You know, you can know how long it took the

490
00:26:22.920 --> 00:26:26.839
fire truck to arrive to start putting out the fire. Right,

491
00:26:26.880 --> 00:26:29.119
So now I can feed that data back to the

492
00:26:29.119 --> 00:26:32.319
mayor and say, hey, your fire firefighters are taking fifteen

493
00:26:32.359 --> 00:26:35.799
minutes to get to the fire. They're going slow. Need

494
00:26:35.880 --> 00:26:41.880
some motivation or a new system or a new firefight.

495
00:26:41.920 --> 00:26:44.759
They could right, spend some money and build a new firehouse.

496
00:26:44.799 --> 00:26:46.079
It's closer to the thing.

497
00:26:46.559 --> 00:26:48.960
Yeah. So I think that the big takeaway here is

498
00:26:49.599 --> 00:26:52.920
of this conversation right now is that we have just

499
00:26:53.000 --> 00:26:55.680
seen kind of just a fraction of the amount of

500
00:26:56.119 --> 00:26:59.759
data gathering about our world, right, and it's going to

501
00:26:59.759 --> 00:27:02.359
be app and it's going to be put into the

502
00:27:02.440 --> 00:27:06.240
network and these these full self driving software and a

503
00:27:06.279 --> 00:27:09.000
lot of people probably don't know this, but that same

504
00:27:09.079 --> 00:27:12.440
software is being put into or that same kind of

505
00:27:12.559 --> 00:27:16.079
self driving neural network is going to be put into

506
00:27:16.519 --> 00:27:20.359
the Optimus robot, right or it's already in there. So yeah,

507
00:27:20.359 --> 00:27:21.920
I'm sure that software is under.

508
00:27:21.759 --> 00:27:24.880
Augmented reality glasses too. Right the way, when you do

509
00:27:24.960 --> 00:27:27.480
get a robot. You're going to probably need a pair

510
00:27:27.519 --> 00:27:32.319
of glasses to control the robot because one thing about

511
00:27:32.880 --> 00:27:36.720
that's magical is you can embody yourself in a robot. Right,

512
00:27:36.799 --> 00:27:39.240
if you have a humanoid robot and you have vision

513
00:27:39.279 --> 00:27:42.240
pro or something like that, you can actually put yourself

514
00:27:42.319 --> 00:27:45.960
into the robot and walk around as a robot. It's

515
00:27:46.039 --> 00:27:48.359
crazy to think about that that I already did it

516
00:27:48.480 --> 00:27:52.079
at the one ax Tech robot company, and it's really crazy.

517
00:27:52.640 --> 00:27:55.160
So I haven't thought about that before. But you're you're

518
00:27:55.200 --> 00:27:58.559
exactly right, and that kind of changes the dynamic, doesn't

519
00:27:58.599 --> 00:28:00.799
it about human robot control?

520
00:28:01.359 --> 00:28:03.720
Yeah? And also if you're let's say you're trying to

521
00:28:03.799 --> 00:28:07.519
learn kickboxing from your robot, you're fighting your robot, which

522
00:28:07.680 --> 00:28:10.440
probably is going to be a few years because you

523
00:28:10.440 --> 00:28:15.240
don't want to be hit by these things. They're gonna hurt.

524
00:28:16.359 --> 00:28:19.559
Right now, the three D printed carbon fiber that that

525
00:28:19.680 --> 00:28:22.599
they're doing, that case scale, which is the robot company

526
00:28:22.680 --> 00:28:25.480
in pu Walto, banged on it with a hammer and

527
00:28:25.519 --> 00:28:29.039
I didn't even leave a mark, not just didn't break it,

528
00:28:29.240 --> 00:28:32.720
didn't even leave a mark with a hammer, right, So

529
00:28:32.839 --> 00:28:36.759
imagine that thing hitting you. That's gonna hurt and you're

530
00:28:36.759 --> 00:28:37.559
not going to hurt it.

531
00:28:38.119 --> 00:28:43.039
Right, it doesn't have any well, it doesn't yet have feelings,

532
00:28:43.039 --> 00:28:46.960
but it certainly doesn't real body. Right.

533
00:28:47.799 --> 00:28:50.680
It knows about like pain, but it just doesn't feel

534
00:28:50.720 --> 00:28:55.160
pain the same way we do. We're biological beings. That's

535
00:28:55.200 --> 00:28:58.079
a digital being, but it can know that it did

536
00:28:58.119 --> 00:29:00.480
something wrong, like put its hand on a stove.

537
00:29:01.200 --> 00:29:04.440
Yeah, yeah, that's interesting to think about that.

538
00:29:04.839 --> 00:29:05.039
Now.

539
00:29:06.160 --> 00:29:09.240
One thing that everybody's worried about right now is job

540
00:29:09.319 --> 00:29:12.759
losses as a result of robots, and I just wanted

541
00:29:12.759 --> 00:29:15.880
to throw some numbers out that I found. Is that

542
00:29:15.920 --> 00:29:18.359
there are people out there and tell me, Robert if

543
00:29:18.599 --> 00:29:21.480
these are wrong or from what you've heard that they're

544
00:29:21.480 --> 00:29:28.400
forecasting job losses about twenty million manufacturing jobs by twenty thirty,

545
00:29:28.440 --> 00:29:31.839
and about thirty percent of all jobs will be automated

546
00:29:31.880 --> 00:29:34.400
by twenty thirty. So it isn't like it's happening like

547
00:29:34.880 --> 00:29:36.960
next year or something like that, but.

548
00:29:37.200 --> 00:29:40.119
It's already starting to happen. I know of call centers

549
00:29:40.720 --> 00:29:44.640
that have gone completely automated, laid off a few hundred people.

550
00:29:44.839 --> 00:29:47.079
I met a guy at a game developer conference who

551
00:29:47.200 --> 00:29:51.240
said they just turned on their first automated cold storage

552
00:29:51.279 --> 00:29:55.240
fact warehouse, so there's only robots inside the warehouse, moving

553
00:29:55.480 --> 00:29:59.359
salad around and stuff like that. And I keep hearing

554
00:29:59.359 --> 00:30:01.519
these kinds of stuf, so I know it's starting to

555
00:30:01.559 --> 00:30:04.079
have an effect. And I've been talking to the auto

556
00:30:04.160 --> 00:30:07.200
industry because I'm rewriting my spatial computing book with that

557
00:30:07.400 --> 00:30:12.440
arena cronin And in China they have completely automated car factories.

558
00:30:12.720 --> 00:30:16.000
No humans supposely. I'm sure there's still a few humans

559
00:30:16.039 --> 00:30:19.039
walking around here and there, but the factory itself is

560
00:30:19.079 --> 00:30:22.319
all automated. And you talk to the other you go

561
00:30:22.400 --> 00:30:25.000
to Detroit and you say, hey, when are you going

562
00:30:25.039 --> 00:30:28.640
to turn on your first fully automated factory. Well, they

563
00:30:28.680 --> 00:30:31.200
can't do that because of the labor unions.

564
00:30:31.480 --> 00:30:33.440
Oh yeah, right.

565
00:30:33.480 --> 00:30:35.759
I imagine going to the labor union boss going hey,

566
00:30:35.799 --> 00:30:38.400
we're we got to open up a multi billion dollar

567
00:30:38.559 --> 00:30:42.279
completely automated factory. We're not going to hire you guys anymore. Sorry.

568
00:30:42.519 --> 00:30:44.960
Well that's a tough one. But in China they've already

569
00:30:44.960 --> 00:30:45.559
done that.

570
00:30:45.720 --> 00:30:49.599
Day's coming, isn't it. Yeah, Yeah, that's a question. Yeah.

571
00:30:49.680 --> 00:30:51.599
I also wanted to talk a little bit about all

572
00:30:51.640 --> 00:30:54.559
the different types of robots. I think this isn't a

573
00:30:54.680 --> 00:30:58.920
topic that I hear talked about a lot. But yeah,

574
00:30:59.039 --> 00:31:01.599
the type of robots, and they're bigger use case. So

575
00:31:01.759 --> 00:31:05.799
like robots for healthcare and washing windows.

576
00:31:05.960 --> 00:31:08.720
The Chinese have a little robot that rolls around the

577
00:31:08.880 --> 00:31:11.720
piece of glass and cleans it. Right. But the problem

578
00:31:11.839 --> 00:31:15.240
is with that little specialized robot. I have like twenty

579
00:31:15.279 --> 00:31:17.319
pieces of glass in my house, so I have to

580
00:31:17.359 --> 00:31:20.599
move the robot twenty times to clean all the glass

581
00:31:20.640 --> 00:31:24.759
in my house, right, probably twice so forty times inside

582
00:31:24.759 --> 00:31:28.240
do right? And it's a pan in the butt. Sometimes

583
00:31:28.240 --> 00:31:31.720
you can't reach the thing or whatever. Well, the humanoid

584
00:31:31.799 --> 00:31:36.119
robot can do that drungy work of moving the specialized

585
00:31:36.200 --> 00:31:39.039
robot around the glass and clean all your glass, and

586
00:31:39.319 --> 00:31:42.240
it'll charge you forty bucks to clean all the glass

587
00:31:42.279 --> 00:31:42.799
in your house.

588
00:31:43.880 --> 00:31:47.160
Yeah. I think we've been living with robots for many years,

589
00:31:47.200 --> 00:31:50.839
and I'm not sure that people really think about these

590
00:31:50.960 --> 00:31:53.519
robots like the room bay that we mentioned earlier. And

591
00:31:53.559 --> 00:31:57.039
I think that there's been robots in healthcare for many years.

592
00:31:57.119 --> 00:31:59.519
There's these kind of armed based kind.

593
00:31:59.319 --> 00:32:01.839
Of surgical robots.

594
00:32:01.920 --> 00:32:05.279
Yeah. Yeah, surgical procedures were a doctor's really.

595
00:32:05.119 --> 00:32:08.119
Truly using the surgical robot. The halftics on that thing

596
00:32:08.160 --> 00:32:11.839
are just sick because if you put a needle through

597
00:32:11.839 --> 00:32:15.720
a fake piece of skin, yet it actually you feel

598
00:32:15.720 --> 00:32:18.599
it going through the skin. There's no feeling. It's all

599
00:32:18.640 --> 00:32:24.759
digital the robots across the room. There's no hookup, physical

600
00:32:24.759 --> 00:32:28.039
hookup to this, to the surgery tools, right, but it's

601
00:32:28.079 --> 00:32:31.319
all using halftics. It's really amazing thing. Yeah.

602
00:32:31.440 --> 00:32:33.960
So I think robots have been a part of our

603
00:32:34.039 --> 00:32:36.400
lives for many years now. It's just that maybe we

604
00:32:36.480 --> 00:32:40.160
haven't thought of them in that context. True, the Rumba

605
00:32:40.279 --> 00:32:42.640
has been more identified as a robot, but I'm not

606
00:32:42.680 --> 00:32:44.440
sure that these other We.

607
00:32:44.400 --> 00:32:46.640
Don't get to see surgical robots.

608
00:32:46.279 --> 00:32:48.880
Very often, right, you know, we don't, right.

609
00:32:48.920 --> 00:32:50.960
Unless you're a surge and you see them all the time.

610
00:32:51.039 --> 00:32:54.279
But as a normal everyday first you probably haven't had

611
00:32:54.279 --> 00:32:56.880
your hand on a surgical robot, right.

612
00:32:56.799 --> 00:33:00.759
Right, right, But these humanized robots could re place nurses,

613
00:33:00.799 --> 00:33:04.519
they could replace surgeons at some point, they could replace

614
00:33:04.599 --> 00:33:08.319
doctors entirely. Someday, someday in the future.

615
00:33:08.319 --> 00:33:10.759
There's a lot more empathy f grades before I get

616
00:33:10.759 --> 00:33:15.279
to do that, right.

617
00:33:15.000 --> 00:33:17.200
But I think, as we talked about earlier.

618
00:33:17.039 --> 00:33:17.960
Certainly help out.

619
00:33:18.119 --> 00:33:18.279
Right.

620
00:33:18.319 --> 00:33:20.240
There's a lot of things to do in a hospital

621
00:33:20.279 --> 00:33:23.720
that don't require a human touch, right.

622
00:33:23.920 --> 00:33:29.480
Yeah, like physical therapy. I think, delivering supplies to patients

623
00:33:29.519 --> 00:33:30.480
and even.

624
00:33:30.400 --> 00:33:33.160
Bringing food to people you know that are in the

625
00:33:33.240 --> 00:33:35.720
hospital that or moving them a little bit so they

626
00:33:35.759 --> 00:33:38.640
don't get a bed sore. Right, A couple of robots

627
00:33:38.680 --> 00:33:40.640
will come in and hey, it's time to move you

628
00:33:40.680 --> 00:33:41.839
around a little bit, right.

629
00:33:41.880 --> 00:33:45.960
Yea, yea, And that will probably save the hospital money,

630
00:33:46.279 --> 00:33:46.759
I mean.

631
00:33:46.680 --> 00:33:49.160
And it'll be better for the patient because who wants

632
00:33:49.200 --> 00:33:52.240
a human being to come in here room and see

633
00:33:52.279 --> 00:33:55.000
you naked and move you around.

634
00:33:55.319 --> 00:33:57.000
That's sorry, that's true.

635
00:33:57.680 --> 00:33:59.839
I'd rather have a robot do that kind of you.

636
00:34:00.079 --> 00:34:03.079
Yeah, exactly. And then I think the home life side,

637
00:34:03.200 --> 00:34:06.440
So we had talked about earlier about dishes and cleaning

638
00:34:06.480 --> 00:34:09.880
the house and mowing the lawn and those kind of activities.

639
00:34:09.960 --> 00:34:12.360
The line is probably going to be a specialized robot,

640
00:34:12.519 --> 00:34:13.800
right if you really.

641
00:34:13.519 --> 00:34:15.679
Well, we have those right now, but they look like

642
00:34:15.760 --> 00:34:19.039
they're like four wheel kind of rolling machines, right, they

643
00:34:19.039 --> 00:34:22.639
don't actually have a human form factor to the current ones.

644
00:34:23.119 --> 00:34:25.639
You have to put a metal wire around your line

645
00:34:25.679 --> 00:34:28.039
so it knows the edge of the lawn. The new

646
00:34:28.079 --> 00:34:31.639
ones like Empire Sheep Company. I went visited them. They're

647
00:34:31.679 --> 00:34:36.280
making robots to do landscaping, and their robot can get

648
00:34:36.360 --> 00:34:39.239
on a piece of lawn without the wire right it

649
00:34:39.320 --> 00:34:42.599
knows it figures out where the line is just from

650
00:34:42.639 --> 00:34:43.239
the cameras.

651
00:34:43.559 --> 00:34:46.320
Yeah, yeah, I think that's where it's going, right, just

652
00:34:46.360 --> 00:34:48.639
like the Tesla is trying to look at the world

653
00:34:48.679 --> 00:34:51.239
like humans do and navigate it and make decisions and

654
00:34:51.280 --> 00:34:53.960
things like that, that's where we're going. So these limit

655
00:34:54.199 --> 00:34:58.920
wires have been around or the dog or restriction area

656
00:34:59.159 --> 00:35:02.440
kind of device are going to be replaced by vision. Yeah,

657
00:35:02.440 --> 00:35:04.119
So it's going to be interesting to see how that

658
00:35:04.159 --> 00:35:07.760
plays out over time. And then we talked about the

659
00:35:07.800 --> 00:35:11.360
manufacturing robots, and I think that's pretty obvious that's going

660
00:35:11.400 --> 00:35:13.119
to be I mean, you just look at an Amazon

661
00:35:13.159 --> 00:35:17.239
warehouse and they probably have the robots already, so this

662
00:35:17.280 --> 00:35:19.519
isn't a new thing. But if I was a warehouse

663
00:35:19.559 --> 00:35:22.039
worker in an Amazon warehouse, I would be a little

664
00:35:22.039 --> 00:35:23.480
concerned about my future job.

665
00:35:23.719 --> 00:35:27.119
So unless you fix robots and then you probably held

666
00:35:27.199 --> 00:35:30.480
you for a while until they start fixing themselves. Man,

667
00:35:30.639 --> 00:35:32.760
somebody has to fix those things. Every once in a

668
00:35:32.760 --> 00:35:33.360
while they break.

669
00:35:33.480 --> 00:35:35.719
I was hoping to talk about that, is that what's

670
00:35:35.800 --> 00:35:40.559
the changing landscape for work and jobs in this environment? Right?

671
00:35:40.599 --> 00:35:43.320
I do think just like what you said managing the

672
00:35:43.400 --> 00:35:46.199
robots or right, we do.

673
00:35:46.079 --> 00:35:49.079
Need a new policy and we do need to have

674
00:35:49.280 --> 00:35:54.119
a debate discussion about the policy. Is it let's say

675
00:35:54.119 --> 00:35:56.920
we take a truck driver off a drive in a truck,

676
00:35:56.960 --> 00:36:00.440
because that'll happen in the next fifteen years, right, what

677
00:36:00.480 --> 00:36:02.440
do we do with that truck? However, they were making

678
00:36:02.480 --> 00:36:05.880
eighty grand eighty to one hundred and twenty thousand dollars

679
00:36:05.920 --> 00:36:07.760
a year and all of a sudden they're not able

680
00:36:07.800 --> 00:36:11.719
to feed their family. That causes not good things in

681
00:36:11.760 --> 00:36:16.000
our society. Right, So we need to figure out how

682
00:36:16.039 --> 00:36:18.920
do we have a guaranteed minimum income for that person

683
00:36:19.360 --> 00:36:21.880
that they just sit at home and collect a paycheck

684
00:36:22.679 --> 00:36:25.119
so or do we give him the wealth to go

685
00:36:25.239 --> 00:36:28.400
back to school and spend four years and get a

686
00:36:28.440 --> 00:36:33.039
degree so they can repair robots or that there's nothing new, right,

687
00:36:34.440 --> 00:36:38.119
or even teach them how to do plumbing or put glass.

688
00:36:38.159 --> 00:36:41.480
And my brother runs a glass shop, right, My brother

689
00:36:41.480 --> 00:36:44.960
in law runs a glass shop, and so he used

690
00:36:45.000 --> 00:36:47.360
to be a tech executive, and he learned over four

691
00:36:47.480 --> 00:36:50.679
years how to do glass and buildings and stuff like that.

692
00:36:50.719 --> 00:36:52.760
It took a few years. He told me to pass

693
00:36:52.800 --> 00:36:55.320
all the licensing and learn all the things that it

694
00:36:55.360 --> 00:37:00.360
takes to learn to run a glass shop. Right. And

695
00:37:00.480 --> 00:37:03.280
so you need to take a truck driver and give

696
00:37:03.320 --> 00:37:08.000
them the well to spend four years learning a new thing, right,

697
00:37:08.039 --> 00:37:11.559
to have a shot at another American dream. And so

698
00:37:11.639 --> 00:37:16.280
we need to have a policy. My dad escaped poverty

699
00:37:16.320 --> 00:37:18.559
in New York I by go in to the army

700
00:37:18.679 --> 00:37:20.800
and then getting the wealth to go to school and

701
00:37:20.800 --> 00:37:25.800
getting a PhD in electrical and material science, right, and

702
00:37:25.840 --> 00:37:29.719
that pulled us all out of poverty. Before that, our

703
00:37:29.760 --> 00:37:34.199
family was living in the projects in Brooklyn. Right. So

704
00:37:35.000 --> 00:37:38.280
the same thing as needed for everybody who gets laid off.

705
00:37:38.320 --> 00:37:41.360
They need a new American dream, they need a new shot.

706
00:37:41.639 --> 00:37:44.039
And so we need a new policy. But how do

707
00:37:44.079 --> 00:37:46.960
you sell that to Americans because we're so divided politically

708
00:37:47.440 --> 00:37:49.000
that we can't even talk to each other.

709
00:37:49.760 --> 00:37:54.239
Yeah. Well, and there's two completely different visions. One is

710
00:37:54.320 --> 00:37:59.000
kind of looking at how the world has been as

711
00:37:59.039 --> 00:38:03.360
far as our economic structure, work culture, what our beliefs

712
00:38:03.400 --> 00:38:08.159
are and then thinking about this new technology based kind

713
00:38:08.199 --> 00:38:10.719
of change that's coming and how that's going to impact

714
00:38:10.719 --> 00:38:14.159
people's lives. And it's a huge transition, and I am

715
00:38:14.199 --> 00:38:17.280
a little bit worried that this transition to this new

716
00:38:17.719 --> 00:38:20.719
kind of world that we're coming into. I hate to say,

717
00:38:20.719 --> 00:38:24.760
but surveillance and data gathering and aggregation of data to

718
00:38:25.360 --> 00:38:28.599
kind of fuel the data that's needed for these robots

719
00:38:28.639 --> 00:38:32.199
and the technological innovations that we're right on the cusp

720
00:38:32.239 --> 00:38:34.800
of that's going to cause a lot of people to

721
00:38:34.920 --> 00:38:37.400
have a lot of change anxiety. And I think we're

722
00:38:37.400 --> 00:38:40.239
starting to see the beginning of it. I'm just not

723
00:38:40.280 --> 00:38:42.599
sure how long this transition is going to take and

724
00:38:42.639 --> 00:38:44.719
what the costs are along that transition.

725
00:38:44.960 --> 00:38:49.280
While I mean to take a human I know humans

726
00:38:49.280 --> 00:38:52.880
who have gone from cooking in a kitchen to running

727
00:38:52.880 --> 00:38:56.480
a computer company, but it took a very special school

728
00:38:56.480 --> 00:38:59.079
to do that, and it took a few years. Right,

729
00:39:00.079 --> 00:39:03.079
you can't just learn how to program a computer if

730
00:39:03.079 --> 00:39:06.679
you're a truck driver. Learning how to program a computer

731
00:39:06.840 --> 00:39:10.760
is hard for that person, right, And so you got

732
00:39:10.800 --> 00:39:13.679
to go to school and have the time and not

733
00:39:13.840 --> 00:39:17.199
have to work three jobs just to put the money

734
00:39:17.199 --> 00:39:20.320
on your table to feed your family. Right, you can't

735
00:39:20.360 --> 00:39:24.039
be working an uber job while going to school. You're

736
00:39:24.079 --> 00:39:26.599
not going to have time to learn, right.

737
00:39:27.440 --> 00:39:27.880
It's for me.

738
00:39:27.960 --> 00:39:30.320
I know people do it and it can be done,

739
00:39:30.360 --> 00:39:33.639
but it's far harder to learn to really learn something

740
00:39:33.679 --> 00:39:37.280
new if you're working at two jobs during the day

741
00:39:37.320 --> 00:39:39.039
and then you get home and you're tired and you're

742
00:39:39.039 --> 00:39:40.679
not doing your homework properly.

743
00:39:41.519 --> 00:39:44.000
Yeah. I mean I can see a day when one person,

744
00:39:44.199 --> 00:39:47.559
one human, owns, let's say, a thousand robots and they

745
00:39:47.559 --> 00:39:51.039
can build a company that offers services, whether it be

746
00:39:51.079 --> 00:39:56.599
plumbing or lawnmowing or window installation with their thousand robots

747
00:39:56.599 --> 00:40:00.280
and they've built maybe ten or twelve or fIF team

748
00:40:00.360 --> 00:40:04.199
billion dollar or million dollar company just based on having

749
00:40:04.280 --> 00:40:08.119
all their workforce be robots. Right. Yeah. Is that kind

750
00:40:08.159 --> 00:40:11.199
of what the future of work looks like for us?

751
00:40:11.360 --> 00:40:14.599
Is who owns these? Right? And is there going to

752
00:40:14.639 --> 00:40:16.639
be robots that nobody.

753
00:40:16.239 --> 00:40:22.079
Owns, like a government owns, or that are constantly the

754
00:40:22.639 --> 00:40:25.519
concept to think about it like who would make it,

755
00:40:26.119 --> 00:40:28.840
why would it be made, why would it be put

756
00:40:28.880 --> 00:40:29.480
in service?

757
00:40:30.039 --> 00:40:33.760
And what off? What if robots made robots?

758
00:40:34.840 --> 00:40:40.079
Yeah, but then the robot owns it, right, And who

759
00:40:40.119 --> 00:40:43.519
owns the robot? Elon? Elon's going to claim owner ship.

760
00:40:43.960 --> 00:40:47.119
If an Optimist makes another Optimist, who's going to own

761
00:40:47.159 --> 00:40:50.559
the new Optimists? That's the Elon? You know, I own

762
00:40:50.639 --> 00:40:50.960
that thing.

763
00:40:51.239 --> 00:40:53.599
Yeah, I thought that the whole mantra as we look

764
00:40:54.119 --> 00:40:58.159
into the future was is that you will own nothing

765
00:40:58.199 --> 00:41:02.079
and be happy. So so maybe there's a scenario that

766
00:41:02.400 --> 00:41:07.880
maybe these things become synthient autonomous beings at some point.

767
00:41:07.960 --> 00:41:10.239
I mean, this is really far off in the future.

768
00:41:10.000 --> 00:41:14.400
Right, Yeah, give us twenty to fifty years or like

769
00:41:14.440 --> 00:41:16.280
that happens.

770
00:41:17.239 --> 00:41:19.679
That's really going into the freaky zone to start thinking

771
00:41:19.679 --> 00:41:20.440
about that. Right.

772
00:41:21.159 --> 00:41:22.880
Here's why I know you're going to bring your robot

773
00:41:22.920 --> 00:41:25.440
on vacation with you. Let's say you got to Europe

774
00:41:25.480 --> 00:41:27.960
for a month on vacation. You got to bring your

775
00:41:28.039 --> 00:41:30.639
robot with you. I'm going to bring mine because it's

776
00:41:30.679 --> 00:41:31.719
very useful.

777
00:41:32.360 --> 00:41:34.800
Right, what Yeah, But why would you bring it? Is

778
00:41:34.840 --> 00:41:35.880
the question? Right.

779
00:41:37.079 --> 00:41:41.159
I might rent another one over in Europe and call

780
00:41:41.239 --> 00:41:44.719
that mine, right and for the month, but I'm going

781
00:41:44.800 --> 00:41:47.400
to have a humanoid robot with me on vacation because

782
00:41:47.880 --> 00:41:50.039
if I want, let's say I'm in New York, and

783
00:41:50.079 --> 00:41:51.840
I want to go to a pizza place, Well, you

784
00:41:51.920 --> 00:41:53.840
got to stand in line for an hour sometimes in

785
00:41:53.920 --> 00:41:55.800
some of those places. So I'm going to have the

786
00:41:55.880 --> 00:41:57.719
robot stand in line for me, and I'm going to

787
00:41:57.800 --> 00:42:00.599
go and sit at the coffee shop across the street

788
00:42:00.639 --> 00:42:03.199
until the robot gets near the front line. Then all

789
00:42:03.639 --> 00:42:04.840
popped in with the robot.

790
00:42:06.519 --> 00:42:08.760
So I do know that there's a lot even you

791
00:42:08.800 --> 00:42:09.559
can go further.

792
00:42:09.719 --> 00:42:12.320
Just have the robot get what you need, you know,

793
00:42:12.440 --> 00:42:13.920
the pizza, and bring it over to you.

794
00:42:14.400 --> 00:42:16.559
True, that's a true vacation. You can just kick back

795
00:42:16.599 --> 00:42:18.320
and the robot can do all the grunt work while

796
00:42:18.320 --> 00:42:22.320
you're right right. Yeah. So I also know in Japan

797
00:42:22.840 --> 00:42:28.239
there's a robot research being done around robots that could

798
00:42:28.239 --> 00:42:33.719
be like companions or relationship robots, those kind of things

799
00:42:33.760 --> 00:42:38.840
that maybe our female males going bathway back and forth

800
00:42:38.880 --> 00:42:40.679
and humans get into.

801
00:42:40.719 --> 00:42:43.679
The bedroom off off the table, all right, robot didn't

802
00:42:43.679 --> 00:42:44.920
go into the bedroom.

803
00:42:46.599 --> 00:42:49.519
At least not for that in situating anything. I know

804
00:42:49.599 --> 00:42:51.599
Elon has joked about this right now, but.

805
00:42:51.559 --> 00:42:53.440
You're going to fall in love with the robot in

806
00:42:53.480 --> 00:42:56.000
the other places, because it's going to make your grandma's

807
00:42:56.079 --> 00:42:59.519
favorite recipe fee for you whenever you want or clean

808
00:42:59.559 --> 00:43:04.400
your toilet or played chess with you. Right, you're gonna

809
00:43:04.440 --> 00:43:06.239
be like fun, This is really cool.

810
00:43:07.119 --> 00:43:12.039
Right, So there's probably a future where humans get into

811
00:43:12.079 --> 00:43:15.599
relationships with these robots, especially as they become already.

812
00:43:16.119 --> 00:43:17.840
And then I had a show eight years ago about

813
00:43:17.840 --> 00:43:20.119
people who fell in love with robots eight years ago

814
00:43:20.280 --> 00:43:23.920
and they're pretty ugly and free, stupid robots. Heard of

815
00:43:23.960 --> 00:43:24.559
what's coming?

816
00:43:25.719 --> 00:43:28.119
So a jerky and right.

817
00:43:28.400 --> 00:43:31.000
No, yeah, they don't look like a human. They don't

818
00:43:31.360 --> 00:43:34.400
talk to you, right, they I just wasn't ready until

819
00:43:34.559 --> 00:43:38.480
just right now, right, so to do really amazing robots.

820
00:43:38.760 --> 00:43:40.360
So I know people are going to fall in love

821
00:43:40.360 --> 00:43:44.599
with their robot, even if they leave sex off the table. Yeah, well,

822
00:43:44.679 --> 00:43:48.159
because it's gonna it's gonna be fun to have a robot.

823
00:43:48.679 --> 00:43:51.400
Yeah, but you have to admit that with some of them,

824
00:43:51.440 --> 00:43:53.760
that's going to come as a as part of the package.

825
00:43:53.840 --> 00:43:57.800
Right, so extra fee. There's there'll be some robots that

826
00:43:57.840 --> 00:43:59.679
will be no problems.

827
00:44:01.480 --> 00:44:03.159
Because you and I both know that there's gonna be

828
00:44:03.239 --> 00:44:04.480
big money in that. Right.

829
00:44:05.360 --> 00:44:09.239
So it's a weird future, man, Yeah, yeah, it certainly is.

830
00:44:09.280 --> 00:44:12.039
And then one a couple of areas we haven't really

831
00:44:12.079 --> 00:44:15.079
talked about yet, too, is kind of like space exploration.

832
00:44:15.960 --> 00:44:22.800
And the biggest fear is military applications for these robots. Right.

833
00:44:23.440 --> 00:44:25.000
I don't know about you, but I've had this thought

834
00:44:25.039 --> 00:44:28.480
that likely if Elon Musk is going to send the

835
00:44:28.519 --> 00:44:31.000
starship to Mars at some point, I think he stated

836
00:44:31.039 --> 00:44:34.840
that he's shooting for like what twenty twenty six or

837
00:44:34.880 --> 00:44:36.840
twenty twenty eight or something like that, that he.

838
00:44:36.840 --> 00:44:40.920
Should you see the engine designs and it's like, Okay,

839
00:44:40.920 --> 00:44:41.440
it's coming.

840
00:44:41.679 --> 00:44:45.760
Yeah, yeah, I mean, why wouldn't he send his first

841
00:44:45.880 --> 00:44:51.320
mission of autonomous robots to the Mars, not humans?

842
00:44:52.079 --> 00:44:55.119
I would recommend that because there's a lot of radiation

843
00:44:55.480 --> 00:44:59.000
pelting the surface of Mars, and unless you have my

844
00:44:59.119 --> 00:45:02.039
dad is radiation experience. He said, you need six feet

845
00:45:02.119 --> 00:45:05.199
of water between you and the sky or a good

846
00:45:05.280 --> 00:45:08.400
chunk of lead, and both of those are really hard

847
00:45:08.480 --> 00:45:11.039
to do in space because it's costs a lot of

848
00:45:11.079 --> 00:45:14.760
money to get that much water up there and or

849
00:45:14.800 --> 00:45:16.679
dig it out of the ground and process it and

850
00:45:16.719 --> 00:45:18.920
get that much water. And it's hard to get that

851
00:45:19.320 --> 00:45:22.800
weight of lead up there. So you're going to live underground.

852
00:45:23.639 --> 00:45:26.639
If we get there. But you're right, why not send

853
00:45:26.639 --> 00:45:29.599
the robots to send to set up the tunnels and

854
00:45:29.800 --> 00:45:33.719
build some homes and build some sort of think thing

855
00:45:33.760 --> 00:45:36.639
that would support human life before we get up there.

856
00:45:37.320 --> 00:45:39.480
Yeah, yeah, I can see that. I mean it just

857
00:45:39.559 --> 00:45:41.920
makes sense. I mean he's starting to I'm talking about

858
00:45:41.920 --> 00:45:45.079
Elon Musk. He's starting to roll these robots out first

859
00:45:45.119 --> 00:45:48.920
in the Tesla manufacturing factory, which is kind of like

860
00:45:48.960 --> 00:45:52.119
an obvious move, right, because he thinks that's the first

861
00:45:52.159 --> 00:45:54.039
step is the manufacturing side.

862
00:45:54.760 --> 00:45:57.440
It's who has the most demand, therefore, who can pay

863
00:45:57.480 --> 00:45:59.480
the most for the first robots?

864
00:45:59.599 --> 00:45:59.760
Right.

865
00:46:00.119 --> 00:46:03.039
Yeah, he's a profit he's a capitalist. He wants to

866
00:46:03.039 --> 00:46:05.639
make money. So I'm sure he wants to take the

867
00:46:05.639 --> 00:46:09.719
low hanging fruit first, which is a bunch of workshops.

868
00:46:09.960 --> 00:46:11.840
Yeah, I would think that he would want to kind

869
00:46:11.840 --> 00:46:14.320
of cut down on his labor costs in his manufacturing

870
00:46:14.320 --> 00:46:16.559
facility because he's under a lot of pressure to get

871
00:46:16.679 --> 00:46:18.440
these Tesla prices down.

872
00:46:19.719 --> 00:46:22.280
His Chinese competitor has a factory that has no fucking

873
00:46:22.360 --> 00:46:27.159
humans in it, totally autonomous, Right, So that's the pressure.

874
00:46:27.800 --> 00:46:29.480
If you don't have one of those, you're not going

875
00:46:29.519 --> 00:46:31.440
to be as profitable. As the Chinese, and you're not

876
00:46:31.480 --> 00:46:33.039
going to be able to compete with the Chinese on

877
00:46:33.119 --> 00:46:33.800
quality score.

878
00:46:34.559 --> 00:46:35.000
Yeah.

879
00:46:35.320 --> 00:46:38.039
Yeah, so you want to have access to the Chinese market,

880
00:46:38.079 --> 00:46:42.239
you better have an autonomous row factory soon, yeah, or

881
00:46:42.280 --> 00:46:43.559
something really close to that.

882
00:46:44.119 --> 00:46:47.360
Yeah. And on the space exploration side, we've had lots

883
00:46:47.360 --> 00:46:50.239
of robots that have been doing work on Mars and

884
00:46:50.239 --> 00:46:51.880
things like that. I mean, I know that they.

885
00:46:51.760 --> 00:46:54.360
Get robots rovers right.

886
00:46:54.199 --> 00:46:57.880
They take a certain amount of direction from humans on Earth,

887
00:46:58.360 --> 00:47:03.360
but they have to operate autonomously because the transmission time

888
00:47:03.559 --> 00:47:06.320
between Earth and Mars is too long for it to

889
00:47:06.760 --> 00:47:08.960
be real time. It's not like there a couple.

890
00:47:08.679 --> 00:47:11.119
Of minutes, right, It's said, you tell it to turn,

891
00:47:11.360 --> 00:47:14.679
you tell it to stop, because it's heading toward the cliff.

892
00:47:15.679 --> 00:47:18.360
By the time it gets the stop command, it's already

893
00:47:18.400 --> 00:47:20.000
over the cliff.

894
00:47:19.519 --> 00:47:24.199
Right, So they have answers in it the detect real

895
00:47:24.239 --> 00:47:26.480
world kind of scenario. So I think we've been playing

896
00:47:26.519 --> 00:47:28.840
around with robots in space for many years.

897
00:47:28.920 --> 00:47:32.519
And by the way, JPL invented slam map. So the

898
00:47:32.719 --> 00:47:36.079
technique doing that is slamp. Well, now your robot has

899
00:47:36.119 --> 00:47:39.239
a slam map, right, it works the same way that

900
00:47:39.280 --> 00:47:43.039
the robot on Mars used to work, right, Yeah, yeah,

901
00:47:43.079 --> 00:47:47.039
the same kind of technology. So yeah, it's a new world.

902
00:47:48.079 --> 00:47:51.280
Yeah, I think with the whole full self driving kind

903
00:47:51.280 --> 00:47:54.599
of stack that Elon has. I mean, I think robots

904
00:47:54.639 --> 00:47:59.000
will play an increasing role in space exploration, even beyond

905
00:47:59.119 --> 00:48:01.559
just trying to call an Mars. It's probably going to

906
00:48:01.599 --> 00:48:04.599
be a lot of aspects of our space exploration is

907
00:48:04.599 --> 00:48:08.079
going to be driven by by autonomous robots increasingly.

908
00:48:08.239 --> 00:48:09.920
A lot of the humans are going to be down

909
00:48:09.960 --> 00:48:13.840
on Earth building things in simulators and testing them out

910
00:48:14.400 --> 00:48:17.280
long before you build them in physical Even if you

911
00:48:17.320 --> 00:48:19.679
send a whole bunch of robots, you're going to do

912
00:48:19.760 --> 00:48:22.360
that in a simulator first, to train all the robots

913
00:48:22.599 --> 00:48:26.800
how to build a tunnel or how to unload a

914
00:48:26.880 --> 00:48:28.800
lander and build things out of it.

915
00:48:29.400 --> 00:48:29.679
Right.

916
00:48:30.320 --> 00:48:33.880
So yeah, it's a it's a crazy world coming at us.

917
00:48:34.360 --> 00:48:37.719
YEA trust, a lot of trust. You gotta trust. You

918
00:48:37.719 --> 00:48:41.119
gotta trust your family's life to melt and sand I

919
00:48:41.159 --> 00:48:44.880
don't know, right, Yes, you have a tesla. I trust

920
00:48:44.920 --> 00:48:47.360
it all the time, next to the wall, going eighty

921
00:48:47.400 --> 00:48:49.000
five miles an hour, right, Oh I do?

922
00:48:49.280 --> 00:48:50.840
I mean, I mean you have to in order to

923
00:48:50.920 --> 00:48:54.880
use it. Right, you have to let it go right

924
00:48:54.960 --> 00:48:57.800
up to the point of failure. Right, I mean I

925
00:48:57.880 --> 00:49:00.599
do it all the time, right, all, all, let it.

926
00:49:00.960 --> 00:49:02.199
I'll take it as far as.

927
00:49:02.960 --> 00:49:04.760
I'll be honest with you. I'm looking at the phone

928
00:49:04.800 --> 00:49:06.840
on the freeway. I don't know what you're doing. I'm

929
00:49:06.920 --> 00:49:09.400
letting the car drive. And it's driving really good, And

930
00:49:09.440 --> 00:49:11.400
it's driving right next to a wall at eighty five

931
00:49:11.440 --> 00:49:14.440
miles an hour. It could kill me at any point, right.

932
00:49:15.239 --> 00:49:18.400
Which is a scary thought to think about, too, Right, it.

933
00:49:18.320 --> 00:49:20.519
Is because you're right next to the wall foot and

934
00:49:20.559 --> 00:49:22.480
a half from the wall, going eighty five miles an hour,

935
00:49:22.599 --> 00:49:28.119
Like it could put me in the wall. It wouldn't

936
00:49:28.159 --> 00:49:28.679
take much.

937
00:49:30.760 --> 00:49:34.880
Yeah, I mean it raises the specter of if somebody

938
00:49:34.880 --> 00:49:37.360
wanted to take you out, it would be really easy

939
00:49:37.360 --> 00:49:38.199
to do that, wouldn't it.

940
00:49:38.679 --> 00:49:42.400
Well, it's not really that easy, because you would have

941
00:49:42.480 --> 00:49:44.559
to fuck with the You would have to tell you

942
00:49:44.679 --> 00:49:48.760
with the tesla in a way that for instance, the tesla,

943
00:49:49.559 --> 00:49:52.400
if it gets a direction to make a left turn,

944
00:49:52.920 --> 00:49:57.239
the sensors are then watching to make sure it makes

945
00:49:57.239 --> 00:49:59.039
a left turn, and if it makes a right turn,

946
00:49:59.119 --> 00:50:04.440
it knows something acted right because something perverted its system.

947
00:50:04.599 --> 00:50:08.480
Right. So you saw that movie on Netflix that showed

948
00:50:08.519 --> 00:50:13.440
all the teslas without cars driving in crashing into each other. Yeah,

949
00:50:13.599 --> 00:50:16.800
and it definitely got people thinking about that, about being

950
00:50:16.800 --> 00:50:19.000
able to capture control of all the tesla's at some

951
00:50:19.039 --> 00:50:21.400
point because they are mostly all of them connected to

952
00:50:21.440 --> 00:50:22.119
the internet.

953
00:50:22.599 --> 00:50:26.639
So yeah, loosely, that's what people don't realize either. The

954
00:50:26.719 --> 00:50:32.599
car is very decentralized itself, right. Yeah, it works in

955
00:50:32.679 --> 00:50:35.599
Yellowstone National Park driving you around, right, and there's no

956
00:50:35.760 --> 00:50:38.480
connectivity unless you bring your own starlink kiln.

957
00:50:38.639 --> 00:50:44.119
Right, So it's stored the map, right so, and it's

958
00:50:44.119 --> 00:50:48.880
got vision so it can mostly navigate that great.

959
00:50:49.760 --> 00:50:52.000
The map is a little wlonky because it doesn't have

960
00:50:52.079 --> 00:50:54.719
access to the map data, but it drives just fine.

961
00:50:55.519 --> 00:50:59.599
It knows how to drive locally without talking to the

962
00:50:59.639 --> 00:51:03.039
cloud computing. It can drive without being connected, right. So

963
00:51:04.320 --> 00:51:06.360
it's a fairly well thought out system. And that's why

964
00:51:06.440 --> 00:51:09.559
it hasn't been hacked at any scale. Right, it's really

965
00:51:09.599 --> 00:51:10.800
hard to hack the system.

966
00:51:11.360 --> 00:51:15.599
That's good to know. A security builds trust.

967
00:51:16.280 --> 00:51:19.840
Well, right, and that you'll lose a lot of trust

968
00:51:19.880 --> 00:51:22.199
if it does get hacked. You see somebody driven into

969
00:51:22.199 --> 00:51:25.119
the wall, or a hundred people lose their life in

970
00:51:25.159 --> 00:51:27.000
a day or something like that, run through a red

971
00:51:27.079 --> 00:51:31.440
light because something perverted the system, Right, do you want

972
00:51:31.480 --> 00:51:34.440
to trust that anymore? And you'll be like, oh shit,

973
00:51:34.519 --> 00:51:36.639
I am not going to do that anymore.

974
00:51:37.480 --> 00:51:39.800
I don't know that you'd be able to tell if

975
00:51:39.840 --> 00:51:42.039
it was hacked or not, because I mean.

976
00:51:42.320 --> 00:51:46.039
Yeah, you would, because human beings are patterns and machines

977
00:51:46.039 --> 00:51:48.559
are patterns. And if the pattern breaks, if all of

978
00:51:48.599 --> 00:51:50.880
a sudden a hundred people get killed, you and I

979
00:51:50.960 --> 00:51:54.039
both know that we would be like doing a lot

980
00:51:54.039 --> 00:51:57.280
of research real quick, trying to figure out why did

981
00:51:57.320 --> 00:52:01.159
a hundred just kill human all At the same time,

982
00:52:01.480 --> 00:52:04.360
that's not a pattern that exists right now, right now,

983
00:52:04.360 --> 00:52:07.840
It doesn't put me in the wall right right. The

984
00:52:07.920 --> 00:52:11.760
other thing that the tech industry knows, and for your show,

985
00:52:12.480 --> 00:52:16.199
is they know when people get like three days worth

986
00:52:16.199 --> 00:52:20.039
their rides in an autonomous car, they change as consumers.

987
00:52:20.239 --> 00:52:26.440
They change their trust of computers because now you're using

988
00:52:26.480 --> 00:52:29.199
a computer to drive your family next to a wall.

989
00:52:29.960 --> 00:52:31.920
That changes what you trust.

990
00:52:32.679 --> 00:52:35.119
Yeah, Because I think for the longest time, Robert, I

991
00:52:35.119 --> 00:52:37.800
mean both of us used to work at Microsoft, right, Yeah,

992
00:52:38.199 --> 00:52:42.199
And I think that this image of trusting computers to

993
00:52:42.280 --> 00:52:47.280
be reliable in kind of life and death type situations

994
00:52:47.280 --> 00:52:49.679
has always been a little sketchy because there's been all

995
00:52:49.719 --> 00:52:53.960
these instances of blue screen of death, right, yeah right.

996
00:52:55.880 --> 00:52:56.800
I don't know about you.

997
00:52:57.119 --> 00:53:02.719
Yeah, yeah, So it did take a lot of trust

998
00:53:03.559 --> 00:53:06.719
to actually get over that concern that, well, this is

999
00:53:06.760 --> 00:53:09.360
a computer and it's really handling one of the most

1000
00:53:09.719 --> 00:53:14.239
important tasks that I can imagine, right, which is managing

1001
00:53:14.280 --> 00:53:18.320
my car, and I just have let it do a

1002
00:53:18.320 --> 00:53:18.920
lot of things.

1003
00:53:19.280 --> 00:53:23.440
So once somebody lets their tesla drive them around town

1004
00:53:23.599 --> 00:53:27.239
and go through stoplights and stuff like that without touching

1005
00:53:27.239 --> 00:53:31.079
the car, don't you become much more accepting of like

1006
00:53:31.239 --> 00:53:33.719
automatic shopping in your kitchen. Yeah.

1007
00:53:33.760 --> 00:53:34.159
I think that.

1008
00:53:34.239 --> 00:53:36.639
I it's what the robot really is going to bring, right.

1009
00:53:37.159 --> 00:53:40.400
I tend to think that maybe we've reached a point

1010
00:53:40.440 --> 00:53:44.159
in technological kind kind of development that it is becoming

1011
00:53:44.239 --> 00:53:49.440
more reliable and more trustworthy on the scale of safety.

1012
00:53:49.679 --> 00:53:52.159
I don't know that I have the same level of

1013
00:53:52.199 --> 00:53:56.159
trust when it comes to information and privacy. I think

1014
00:53:56.199 --> 00:54:00.440
that that is I think that's about you think it's

1015
00:54:00.440 --> 00:54:02.480
going to go the other way. Yeah, I know, Apple's

1016
00:54:02.519 --> 00:54:04.880
been talking about blocking access to you.

1017
00:54:05.039 --> 00:54:08.280
Now, I think humans are going to figure out they

1018
00:54:08.320 --> 00:54:10.800
get a much better thing out of their robot if

1019
00:54:10.800 --> 00:54:12.840
they give it more data. You're going to teach your

1020
00:54:12.920 --> 00:54:16.159
robot everything about you. You're going to have a conversation

1021
00:54:16.239 --> 00:54:17.880
one night with your robot and go, hey, I like

1022
00:54:17.920 --> 00:54:23.920
pepperoni pizza, right, because you're ordering pizza. And now from

1023
00:54:23.920 --> 00:54:26.280
then on it knows you like pepperoni pizza. So the

1024
00:54:26.320 --> 00:54:28.320
next time you order pizza and it'll go, hey, do

1025
00:54:28.320 --> 00:54:30.840
you want pepperoni pizza like you usually have? Right?

1026
00:54:31.239 --> 00:54:33.800
Yeah, I already see that behavior in my tesla. It

1027
00:54:33.880 --> 00:54:38.199
tends to know what I'm or project what I might

1028
00:54:38.280 --> 00:54:40.440
be doing based on my history. Right.

1029
00:54:40.559 --> 00:54:40.880
Yeah.

1030
00:54:41.440 --> 00:54:45.119
So if I usually go to let's say Costco on Saturday,

1031
00:54:45.639 --> 00:54:48.800
and I get in my car Saturday afternoon, it's that's

1032
00:54:48.840 --> 00:54:52.719
at the top of the list of destinations that I

1033
00:54:52.760 --> 00:54:55.159
can select, Right So how did they know that? It

1034
00:54:55.280 --> 00:55:00.559
learned that because of my past interactions with VINGA. Yeah,

1035
00:55:00.679 --> 00:55:01.599
so we're already there.

1036
00:55:01.719 --> 00:55:04.159
What happens if you go to strip club every Friday?

1037
00:55:05.639 --> 00:55:06.719
Oh wait, a second.

1038
00:55:08.639 --> 00:55:10.159
Time to go to the strip club, I don't know

1039
00:55:10.199 --> 00:55:13.079
where you're going exactly.

1040
00:55:14.039 --> 00:55:17.360
So we're heading into a new world where we're going

1041
00:55:17.440 --> 00:55:20.159
to give it a lot of data. There's going to

1042
00:55:20.239 --> 00:55:22.320
be people who are like, give it all the data,

1043
00:55:22.639 --> 00:55:24.719
Like I am. I'm giving it all the day. I'm

1044
00:55:24.760 --> 00:55:27.840
recording every like this call is being recorded.

1045
00:55:27.920 --> 00:55:28.119
Right.

1046
00:55:28.239 --> 00:55:33.840
There's ais that will watch you this on YouTube and

1047
00:55:34.079 --> 00:55:36.360
ingest it in a minute or two and write you

1048
00:55:36.360 --> 00:55:38.639
a transcript and then write you a summary, and then

1049
00:55:38.679 --> 00:55:41.239
write you notes and then tell you what's important.

1050
00:55:42.039 --> 00:55:43.800
Yeah. No, I couldn't agree more.

1051
00:55:44.280 --> 00:55:45.000
It's crazy.

1052
00:55:45.559 --> 00:55:47.320
So the next up I want to talk about is

1053
00:55:47.519 --> 00:55:48.440
I think that'll happen.

1054
00:55:48.480 --> 00:55:51.920
And last time we talked, there wasn't ai that ingested YouTube.

1055
00:55:52.000 --> 00:55:55.639
Now there is. It's like and it the Lex Friedman podcast.

1056
00:55:55.679 --> 00:55:58.800
It was like eight hours long. It took two minutes

1057
00:55:58.840 --> 00:56:02.079
to ingest that. Wow, so it could watch the whole

1058
00:56:02.119 --> 00:56:04.119
thing in two minutes, and then it has a transcript,

1059
00:56:04.159 --> 00:56:06.599
then it has a summary, then it has notes, and

1060
00:56:06.639 --> 00:56:09.800
then you can talk to it. It's like, oh, what

1061
00:56:09.880 --> 00:56:12.440
else do you want to talk to this stupid video?

1062
00:56:12.519 --> 00:56:15.559
You're going to talk to the video? Like what else

1063
00:56:15.639 --> 00:56:16.000
you got?

1064
00:56:17.039 --> 00:56:19.760
It's actually, I mean, I would say that's probably a

1065
00:56:19.840 --> 00:56:22.599
huge kind of piece of content that would be good

1066
00:56:22.679 --> 00:56:24.800
for training data or the AI, right.

1067
00:56:25.000 --> 00:56:27.360
So I think it's going to change our jobs too.

1068
00:56:27.639 --> 00:56:30.119
Podcast now you have to think about you're going to

1069
00:56:30.159 --> 00:56:35.199
have an AI as an audience, right, because many people

1070
00:56:35.199 --> 00:56:37.119
are not going to watch podcasts anymore. They're just going

1071
00:56:37.199 --> 00:56:38.880
to give it. They're going to send this show to

1072
00:56:38.960 --> 00:56:41.800
their AI and say, hey, summarize this for him and

1073
00:56:41.840 --> 00:56:45.239
tell me what's important in it. And oh, okay, there's

1074
00:56:45.280 --> 00:56:48.119
a really important thing that we we talked about for

1075
00:56:48.159 --> 00:56:50.880
a minute. Take us right to that spot and let

1076
00:56:51.000 --> 00:56:53.079
us listen to that or see it, right if I

1077
00:56:53.159 --> 00:56:54.320
showed you something.

1078
00:56:54.880 --> 00:56:58.320
Yeah, yeah, oh yeah, totally. I mean, and I think

1079
00:56:58.320 --> 00:57:02.199
we are seeing it in podcasting increasingly, that all this data,

1080
00:57:02.199 --> 00:57:03.719
and I think that there's a little bit of risk

1081
00:57:03.920 --> 00:57:06.880
those that are heavy podcasts or content careers like myself,

1082
00:57:06.920 --> 00:57:10.480
about what the future looks like for the ownership that

1083
00:57:10.519 --> 00:57:13.320
we have of our likeness and our voices, right, and

1084
00:57:13.360 --> 00:57:16.000
how those could be used in the future. I know

1085
00:57:16.119 --> 00:57:19.360
that YouTube is planning on translating all of the content

1086
00:57:19.440 --> 00:57:22.280
on their platform into all the languages of the world

1087
00:57:22.440 --> 00:57:26.599
and sinking that audio change to our lips and our

1088
00:57:26.679 --> 00:57:30.239
videos right to make them align with each other and

1089
00:57:30.280 --> 00:57:32.559
so we're seeing this technology being used in a lot

1090
00:57:32.599 --> 00:57:35.119
of different ways. But I wanted to talk about military

1091
00:57:35.119 --> 00:57:38.360
applications because I think this is a huge area too.

1092
00:57:38.960 --> 00:57:43.320
Robots are obviously starting to be developed in deployed in

1093
00:57:43.320 --> 00:57:47.440
increasing ways to handle dangerous tasks and dangerous situations. And

1094
00:57:47.960 --> 00:57:50.079
I don't know what you know about all this stuff.

1095
00:57:50.119 --> 00:57:52.639
I mean a lot of this stuff the top secret

1096
00:57:52.679 --> 00:57:53.280
to some degree.

1097
00:57:53.480 --> 00:57:57.400
Now we're not a hugely top secret because they the

1098
00:57:57.440 --> 00:58:01.960
bidding process for the military. Let's say they need a

1099
00:58:01.960 --> 00:58:04.920
bunch of robots to do something on an aircraft care

1100
00:58:05.559 --> 00:58:08.159
They'll have an RFQ and somebody will did on that.

1101
00:58:08.320 --> 00:58:12.599
It's not hugely secret. If they have some weird ass

1102
00:58:12.639 --> 00:58:16.400
sensor that nobody knows about, okay, that might be secret, right,

1103
00:58:16.599 --> 00:58:19.960
they're secrecy, But pretty much you can figure out what

1104
00:58:20.000 --> 00:58:24.679
the military is wanting just by knowing the military. For instance,

1105
00:58:24.719 --> 00:58:27.880
an aircraft carrier has four thousand people on it. It's

1106
00:58:27.920 --> 00:58:32.400
a supply chain. When I was on an aircraft carrier,

1107
00:58:32.440 --> 00:58:34.760
there was two other ships hooked up to our ship,

1108
00:58:34.960 --> 00:58:38.679
passing huge things full of food and stuff like that

1109
00:58:39.760 --> 00:58:41.800
over to the aircraft carrier, and then most of the

1110
00:58:41.840 --> 00:58:44.559
four thousand people never get to fight, never get to

1111
00:58:44.599 --> 00:58:47.480
do the ship that go and blow things up or

1112
00:58:47.679 --> 00:58:51.320
killp things. Now most of them are fixing engines or

1113
00:58:51.599 --> 00:58:57.079
cooking or doing various maintenance things right, and all of

1114
00:58:57.079 --> 00:59:01.679
those need to be trained. One thing you learn if

1115
00:59:01.719 --> 00:59:04.239
you get go on an aircraft carrier is the whole

1116
00:59:04.280 --> 00:59:07.559
thing is run by eighteen year old kids. The whole ship.

1117
00:59:08.400 --> 00:59:10.960
They drive the ship eighteen year old kids. Right, it's

1118
00:59:11.039 --> 00:59:15.119
billions of dollars worth of taxpayer money and a kid

1119
00:59:15.199 --> 00:59:17.960
is driving it. Well, the kid had to learn to

1120
00:59:18.039 --> 00:59:21.440
drive it, right, eighteen year old had to learn, had

1121
00:59:21.480 --> 00:59:25.920
to go to class and understand how to do it. Right. Now,

1122
00:59:25.960 --> 00:59:28.400
with glasses on in a simulator, I could teach that

1123
00:59:28.519 --> 00:59:30.840
kid how to do it much faster than with a

1124
00:59:30.880 --> 00:59:33.880
book or even with a YouTube video.

1125
00:59:34.360 --> 00:59:38.280
So over time we could see these ships being really

1126
00:59:38.280 --> 00:59:42.760
controlled and operated by AI or robotic processes. Right, I

1127
00:59:42.760 --> 00:59:45.320
mean a lot of these things, even if a druman.

1128
00:59:45.199 --> 00:59:47.079
Is doing the work, because a human is still better

1129
00:59:47.119 --> 00:59:49.760
at a certain job. They're going to be wearing augmented

1130
00:59:49.800 --> 00:59:51.599
reality glasses and it's going to show them how to

1131
00:59:51.599 --> 00:59:54.159
fix that thing and watch that they fixed it properly.

1132
00:59:54.239 --> 00:59:58.039
So but that thing crashes in the future, they'll be

1133
00:59:58.239 --> 01:00:01.280
proof that the guy didn't fix it right, and it'll

1134
01:00:01.360 --> 01:00:03.320
keep them from making the mistake in the first place,

1135
01:00:03.320 --> 01:00:04.840
so the crash won't happen.

1136
01:00:04.960 --> 01:00:07.760
Yeah, I'm curious if everybody's fear is going to be

1137
01:00:07.880 --> 01:00:12.639
realized where there's kind of soldier or robots coming. I

1138
01:00:12.639 --> 01:00:15.519
think I saw a news story somewhere that was talking

1139
01:00:15.559 --> 01:00:19.480
about that China was creating soldier robots.

1140
01:00:20.119 --> 01:00:23.159
You don't want these these little four foot things. Yeah,

1141
01:00:23.519 --> 01:00:27.159
three D frient in. You can't destroy them with a hammer.

1142
01:00:28.800 --> 01:00:32.159
You can't cut them. You can't get close enough to

1143
01:00:32.159 --> 01:00:36.880
cut it with a chainsaw or something or or a dissaw. Right,

1144
01:00:37.440 --> 01:00:39.400
it's not gonna let you get close enough. It's going

1145
01:00:39.480 --> 01:00:43.639
to whack you. And so it doesn't even need a gun.

1146
01:00:43.760 --> 01:00:45.960
It's gonna keep cutting. And if there's a thousand of

1147
01:00:46.000 --> 01:00:48.159
them marching down your street, you're not going to put

1148
01:00:48.239 --> 01:00:50.239
up much resistance to them because you're not going to

1149
01:00:50.280 --> 01:00:51.719
get very far with these parts.

1150
01:00:51.760 --> 01:00:55.639
Right. And there's also the military robot dogs that are

1151
01:00:55.639 --> 01:00:58.039
out there too that yeah, right.

1152
01:00:58.920 --> 01:01:04.000
Enough said, I mean, the robot military force is coming,

1153
01:01:04.039 --> 01:01:06.519
and it brings a lot of new ethical problems because

1154
01:01:06.559 --> 01:01:09.239
if that robot's allowed to kill people on the street,

1155
01:01:09.400 --> 01:01:12.840
because that's what military robots are going to do. Who's

1156
01:01:12.840 --> 01:01:15.960
in charge, who's authority, who gets called into the President's

1157
01:01:16.000 --> 01:01:19.159
office for making mistake? Who's accountable?

1158
01:01:19.800 --> 01:01:22.559
Right? Especially if they're autonomous.

1159
01:01:22.079 --> 01:01:24.760
Right, that's what I'm saying. If they're making decisions on

1160
01:01:24.800 --> 01:01:29.199
their own, that's really a new problem. And who's going

1161
01:01:29.280 --> 01:01:31.440
to break the rules? Right, because we can all get

1162
01:01:31.480 --> 01:01:33.519
together and say, oh, we have new war rules. We're

1163
01:01:33.559 --> 01:01:36.000
not going to do that in our war. It only

1164
01:01:36.039 --> 01:01:38.800
takes one country to break the rules and then everybody

1165
01:01:38.880 --> 01:01:39.840
has to do it, right.

1166
01:01:40.280 --> 01:01:43.400
I do wonder though, if all the countries kind of

1167
01:01:43.440 --> 01:01:48.360
create these battle robots of sorts and that ultimately what

1168
01:01:48.400 --> 01:01:54.320
we're going to see is wars fought between robots versus

1169
01:01:54.960 --> 01:01:57.960
wars fought between humans and robots.

1170
01:01:57.760 --> 01:02:00.360
Will do that for fun, right, football.

1171
01:02:00.159 --> 01:02:04.400
Yeah, it could bring in an era where there's this

1172
01:02:04.519 --> 01:02:06.880
constant war because there's no humans involved.

1173
01:02:08.440 --> 01:02:09.639
Yeah, that's dystopian.

1174
01:02:12.760 --> 01:02:15.039
That's a little dystopian, right. Yeah.

1175
01:02:15.239 --> 01:02:17.639
Ron and Rock of War went on killed many of

1176
01:02:17.679 --> 01:02:21.159
their kids, right, and they didn't get it. Neither side

1177
01:02:21.199 --> 01:02:23.519
got anything out of that, just killed a lot of

1178
01:02:23.599 --> 01:02:29.239
their own kids, you know, and you're gotta dedicate a

1179
01:02:29.280 --> 01:02:31.760
lot of your GDP to having a robot war.

1180
01:02:31.880 --> 01:02:34.719
That's stupid, Yeah, but I'm sure it will play into

1181
01:02:35.119 --> 01:02:37.719
the funding of the military industrial complex.

1182
01:02:37.320 --> 01:02:40.679
Though they're getting that funny anyway. The real thing is

1183
01:02:41.480 --> 01:02:44.360
we never fight the next war. We're really good about

1184
01:02:44.360 --> 01:02:47.840
fighting the last war. Right when Timothy McVay blew up

1185
01:02:47.840 --> 01:02:51.320
the federal building, we were good about figuring out how

1186
01:02:51.320 --> 01:02:54.920
to fix how to keep that from happening, right, And

1187
01:02:54.960 --> 01:02:58.840
we built satellites to watch farms, to watch the nitrate

1188
01:02:58.880 --> 01:03:02.079
putting being put on the farm. Right. We changed all

1189
01:03:02.119 --> 01:03:07.760
sorts of relationships with the chemistry industry. We track everything, right,

1190
01:03:08.440 --> 01:03:11.360
and so now you don't have too many Timothy mcvay's

1191
01:03:11.360 --> 01:03:14.760
blowing up federal buildings. That But we're not planning for

1192
01:03:14.800 --> 01:03:17.760
the next war, which is these things are going to

1193
01:03:17.840 --> 01:03:22.440
be cheap, and a country like China or even America

1194
01:03:22.480 --> 01:03:26.559
can make many robots. And if you see a couple

1195
01:03:26.639 --> 01:03:28.960
thousand robots coming down your street, you're not going to

1196
01:03:29.039 --> 01:03:31.079
give up. What are you going to do? Shoot it

1197
01:03:31.079 --> 01:03:33.960
with your shotgun? You're not going to stop two of them?

1198
01:03:34.519 --> 01:03:38.320
Right, Well, I think We've seen war already happen with drones.

1199
01:03:38.559 --> 01:03:42.559
It's being used in Ukraine, right, and very cheaply. Yeah,

1200
01:03:42.960 --> 01:03:47.119
it's like much cheaper than the Lackey Martin drone drones.

1201
01:03:47.199 --> 01:03:49.440
Right, they bomb attached to them.

1202
01:03:49.639 --> 01:03:51.760
We didn't plan on that as a war. Oh you

1203
01:03:51.840 --> 01:03:53.880
mean there's gonna be an adversary. There's going to have

1204
01:03:53.920 --> 01:03:55.880
a lot of little cheap ass drones and they're going

1205
01:03:55.920 --> 01:03:57.880
to blow shit up. Oh my god, how do we

1206
01:03:57.920 --> 01:03:58.400
stop that?

1207
01:04:00.239 --> 01:04:03.400
The actual videos of that where the drone will actually

1208
01:04:03.480 --> 01:04:06.880
chase the soldier and kind of crash into them and

1209
01:04:06.880 --> 01:04:10.000
blow up, right yeah, and that's how they kill soldiers

1210
01:04:10.000 --> 01:04:10.679
with the drones.

1211
01:04:10.920 --> 01:04:17.079
Yeah, yeah, So it's craziness. Right. When I first I

1212
01:04:17.159 --> 01:04:20.039
was in Israel at a tech camp and I saw

1213
01:04:20.079 --> 01:04:23.239
a general in the Israeli Army teach me about drones.

1214
01:04:23.599 --> 01:04:27.239
The first drones, right, they had a big ass drone

1215
01:04:27.280 --> 01:04:30.239
up in the sky that could target stuff down on

1216
01:04:30.280 --> 01:04:31.880
the ground and spent a lot of money to blow

1217
01:04:32.000 --> 01:04:33.800
up with some guy. Now you's done with a two

1218
01:04:33.840 --> 01:04:36.920
hundred dollars drone. It's like it changes how you think

1219
01:04:36.960 --> 01:04:39.679
about war if you're a war planner.

1220
01:04:39.480 --> 01:04:43.960
Right, yeah, And when what other weapons of war do

1221
01:04:44.079 --> 01:04:46.480
we not know about yet that they're working on could

1222
01:04:46.639 --> 01:04:51.199
change the whole thing. I keep hearing us concerns about

1223
01:04:51.280 --> 01:04:54.480
nuclear war, and I do kind of wonder about that.

1224
01:04:54.559 --> 01:04:57.400
I think it would be suicidal if anyone pulled the

1225
01:04:57.440 --> 01:04:59.559
trigger on that, right, So I think it's kind of.

1226
01:05:00.239 --> 01:05:05.239
De escalate from somebody. Let's say Russia nuts something in Europe.

1227
01:05:05.320 --> 01:05:06.679
How do we're not going to stop?

1228
01:05:07.199 --> 01:05:10.000
Nobody's going to stop, and we'll all be dead in

1229
01:05:10.039 --> 01:05:10.840
like a half an hour.

1230
01:05:11.880 --> 01:05:14.679
Well, it might take a couple of days to ratchet

1231
01:05:14.760 --> 01:05:17.400
through everything, but it's not good. We don't want that

1232
01:05:17.440 --> 01:05:19.760
kind of world for our kids or for ourselves, right,

1233
01:05:19.920 --> 01:05:20.800
We don't want to do that.

1234
01:05:21.079 --> 01:05:23.719
So yeah, it's almost like if somebody starts something like that,

1235
01:05:23.760 --> 01:05:27.960
it's almost like they're they're committing suicide. Really in some ways,

1236
01:05:28.119 --> 01:05:30.000
is anybody really going to pull the trigger on that?

1237
01:05:30.480 --> 01:05:31.039
Going forward?

1238
01:05:31.159 --> 01:05:34.800
Hopefully nobody feels this is the problem with escalation, right,

1239
01:05:35.320 --> 01:05:39.000
How do you not escalate? Right now we're learning about

1240
01:05:39.000 --> 01:05:42.199
that with Russia. We'd like to go kick Russia's ass,

1241
01:05:42.280 --> 01:05:45.039
but we can't. They got a nuclear You got to

1242
01:05:45.079 --> 01:05:48.239
de escalate, You got to take whatever they're doing and

1243
01:05:48.360 --> 01:05:50.920
let them do it because they're a nuclear power and

1244
01:05:50.960 --> 01:05:52.519
they got to do the same thing in the US.

1245
01:05:52.559 --> 01:05:54.639
So if we want to attack something that they like,

1246
01:05:54.800 --> 01:05:55.880
they got to let us do it.

1247
01:05:56.559 --> 01:06:00.880
Yeah, it's fascinating that we've mostly maintained kind of more

1248
01:06:01.119 --> 01:06:05.920
traditional warfare, right with soldiers and airplanes and tanks and

1249
01:06:05.960 --> 01:06:08.599
that kind of stuff. Is what I mean, our technology

1250
01:06:08.719 --> 01:06:12.000
so far beyond that. It's just it's even with though.

1251
01:06:12.800 --> 01:06:14.920
I met the F thirty five fighter jet pilots down

1252
01:06:14.960 --> 01:06:18.440
in Las Vegas, right, and one of them was like, oh,

1253
01:06:18.639 --> 01:06:21.000
I'm going to beat any F eighteen or F sixteen,

1254
01:06:21.039 --> 01:06:22.760
which is what we sell to the rest of the world.

1255
01:06:22.800 --> 01:06:25.360
And I'm like, oh, how do you know that? Maybe

1256
01:06:25.360 --> 01:06:28.559
they're better at talented, more talented than you are. And

1257
01:06:28.559 --> 01:06:31.440
he's like, no, that's not how this works because we're

1258
01:06:31.480 --> 01:06:33.599
flying at night and I can see you, you can't

1259
01:06:33.639 --> 01:06:37.159
see me, and I'm stealthy. You're not start with that, right,

1260
01:06:37.559 --> 01:06:39.440
And then he said I can stop in midair and

1261
01:06:39.480 --> 01:06:43.000
you can't stop. And he said soon we're going to

1262
01:06:43.239 --> 01:06:47.000
replace the pilot because the pilot, if you're flying like

1263
01:06:47.679 --> 01:06:50.719
a curve like this, you can only do eight g's.

1264
01:06:51.000 --> 01:06:52.440
Otherwise your head explodes.

1265
01:06:52.760 --> 01:06:53.199
Right.

1266
01:06:53.519 --> 01:06:57.599
Well, if if a piece of melted sand is flying

1267
01:06:57.639 --> 01:07:01.440
your plane, they don't have that problem, right, right, so

1268
01:07:01.480 --> 01:07:06.320
you can do some really crazy dogfight move that human

1269
01:07:06.400 --> 01:07:08.360
can't do and you're going to win.

1270
01:07:09.159 --> 01:07:12.719
Yeah. So humans are generally probably not going to be

1271
01:07:12.840 --> 01:07:15.920
casualty as much as you look at the future of warfare,

1272
01:07:16.159 --> 01:07:20.280
right unless they're like thermonuclear or if there's humans on

1273
01:07:20.320 --> 01:07:23.480
a like a battleship or on a control craft.

1274
01:07:23.679 --> 01:07:26.360
Right there, maybe you have a drone army and you're

1275
01:07:27.119 --> 01:07:31.559
in your neighborhood and it's killing people. Right. That's the

1276
01:07:31.599 --> 01:07:33.840
problem is what is the next war? Is really hard

1277
01:07:33.840 --> 01:07:37.159
to think through because number one, we can't really talk

1278
01:07:37.199 --> 01:07:40.000
about it in public airway. Let's plan out some terrorist

1279
01:07:40.039 --> 01:07:43.079
attacks and see how those would be defended. That's not

1280
01:07:43.199 --> 01:07:45.199
probably not a smart idea to talk about it in

1281
01:07:45.239 --> 01:07:45.880
public space.

1282
01:07:46.280 --> 01:07:47.079
No, that's exactly.

1283
01:07:47.159 --> 01:07:53.039
There's certain people that come and busy. Hey, I give

1284
01:07:53.119 --> 01:07:55.519
talks to those people. Are nice, people, are patriotic, but

1285
01:07:55.559 --> 01:07:58.679
they'd come and busy. You we saw you on YouTube

1286
01:07:58.719 --> 01:08:03.119
talking about blow America. That's not good. We don't like

1287
01:08:03.199 --> 01:08:04.079
that kind of thing here.

1288
01:08:06.440 --> 01:08:09.599
So so it's as we look to the future, I

1289
01:08:09.639 --> 01:08:15.039
know that there's some predictions out there about when robots

1290
01:08:15.199 --> 01:08:19.279
are going to become shift into a humanoid like experience

1291
01:08:19.319 --> 01:08:21.800
because most of the robots in our life. Okay, it's

1292
01:08:21.800 --> 01:08:26.199
coming up next year is when we'll see usual purchasable

1293
01:08:26.600 --> 01:08:28.079
humanoid robots right here?

1294
01:08:28.359 --> 01:08:33.640
Yeah? Okay, now is it good? Eh? You and I

1295
01:08:33.760 --> 01:08:38.520
both worked at Microsoft with version one. Ever good? Now

1296
01:08:39.880 --> 01:08:41.680
it's always version three, that's good?

1297
01:08:43.079 --> 01:08:45.399
Right, yeah, exactly, that's true.

1298
01:08:45.640 --> 01:08:48.640
We used to joke about it, right, wait till version

1299
01:08:48.640 --> 01:08:51.119
three that's gonna be the one you want? Version has

1300
01:08:51.119 --> 01:08:51.880
a lot of bugs.

1301
01:08:52.920 --> 01:08:56.840
Yeah. Yeah. So here's where we are right now with

1302
01:08:56.840 --> 01:08:59.880
with the Tesla Optimus robot. So I have this up

1303
01:08:59.880 --> 01:09:02.800
on the screen now for those that are listening to this.

1304
01:09:03.640 --> 01:09:06.720
We're kind of at the stage in the demos of

1305
01:09:06.840 --> 01:09:11.960
mostly like in manufacturing type of environments. But as you

1306
01:09:12.000 --> 01:09:14.520
can see on the screen, the Optimist robot and Rubert.

1307
01:09:14.560 --> 01:09:17.399
As far as you're concerned, why are we talking most

1308
01:09:17.479 --> 01:09:20.640
about the Optimist robot? Is it just because of the

1309
01:09:20.760 --> 01:09:23.079
FSD software ability.

1310
01:09:22.920 --> 01:09:24.760
We have the most data of the real world. They

1311
01:09:24.800 --> 01:09:27.880
have cars driving across the gone Gate bridge every three seconds.

1312
01:09:27.880 --> 01:09:30.680
Nobody else does. And start with that they have more

1313
01:09:30.760 --> 01:09:34.159
data than anythay else. They have better infrastructure for building

1314
01:09:34.159 --> 01:09:37.640
AI technology, they have a better simulator than anything else.

1315
01:09:38.039 --> 01:09:42.079
They have more data and then start with more data wins, right,

1316
01:09:42.119 --> 01:09:44.720
as long as everything else is equal. And so they

1317
01:09:46.000 --> 01:09:48.119
have that, and then they have the ability to manufacture

1318
01:09:48.159 --> 01:09:52.239
things at scale. Right, and you go like, oh, who

1319
01:09:52.239 --> 01:09:54.760
has the ability to make a million robotes? Well, Tesla

1320
01:09:54.840 --> 01:09:56.960
certainly does. Yeah.

1321
01:09:57.119 --> 01:10:00.800
Yeah, So you know, right, do you think that Tesla

1322
01:10:00.880 --> 01:10:04.640
is going to be the biggest robot manufacturer in the

1323
01:10:04.640 --> 01:10:10.880
world Wars, there's.

1324
01:10:08.119 --> 01:10:12.079
Gonna be rivals Brett Atkins Company's arrival. They got seven

1325
01:10:12.119 --> 01:10:16.399
hendred million dollars. Certainly in China, you're seeing Unitry and

1326
01:10:16.479 --> 01:10:20.680
others who are putting together pretty credible efforts. They just

1327
01:10:20.720 --> 01:10:23.239
have the ability to build things for scale for cheaper

1328
01:10:23.239 --> 01:10:28.640
than we could build them. Right, So eventually that wins Wars. Right,

1329
01:10:28.680 --> 01:10:31.039
if we really do go to war, I know how

1330
01:10:31.039 --> 01:10:33.760
that war's gonna work out. China's gonna win because they're

1331
01:10:33.760 --> 01:10:36.119
gonna they have the ability to make things faster than

1332
01:10:36.159 --> 01:10:40.520
we can and cheaper, and that eventually wins Wars. Right,

1333
01:10:41.039 --> 01:10:44.039
It eventually wins Burning Man. Right next week, everybody's at

1334
01:10:44.039 --> 01:10:49.119
burning Man. You know Steve Jervitsen who funded Tesla and SpaceX.

1335
01:10:49.199 --> 01:10:52.399
He has in his camp all the drone of people

1336
01:10:52.479 --> 01:10:55.520
who are doing cool drone shows, so they haven't drone

1337
01:10:55.600 --> 01:10:58.600
wars already at burning Man for fun purposes, not for

1338
01:10:59.000 --> 01:11:02.960
military purpose, just to do a cool thing in the sky, right,

1339
01:11:03.000 --> 01:11:06.840
And there's teams competing to do cool thing in sky right,

1340
01:11:07.319 --> 01:11:13.119
which swarms the drones, the same idea as a military thing. Right. Yeah, yeah,

1341
01:11:13.840 --> 01:11:15.760
it's just not cool thing in sky, it's kill you

1342
01:11:15.840 --> 01:11:20.960
thing in sky. It may be cool thing too, because

1343
01:11:21.399 --> 01:11:25.600
the military has dual purpose. One, they do want the

1344
01:11:25.640 --> 01:11:28.399
ability to kill you. But then if you have a disaster,

1345
01:11:28.560 --> 01:11:31.920
they roll up the aircraft carrier and feed your people

1346
01:11:32.000 --> 01:11:36.239
for a while, right, and do surgeries and stuff because

1347
01:11:36.239 --> 01:11:41.199
your hospital was destroyed or whatever. So that's a humanitarian effort.

1348
01:11:41.640 --> 01:11:46.079
The military serves the humanitarian because it wins friends, and right,

1349
01:11:46.079 --> 01:11:48.439
it wins friends around the world. And we'd rather have

1350
01:11:48.560 --> 01:11:53.359
friends than have enemies because enemies cause worse, and we

1351
01:11:53.399 --> 01:11:56.560
don't want wars. Right, Even if you're in the war business,

1352
01:11:56.600 --> 01:11:58.800
you don't really want a war. I met a guy

1353
01:11:58.840 --> 01:12:02.000
who builds a new clear bombs at Lawren's Livermore Labs,

1354
01:12:02.000 --> 01:12:05.560
and I said, what's your job? Like, It's like I

1355
01:12:05.680 --> 01:12:09.560
build something I hope never gets used, and I have

1356
01:12:09.640 --> 01:12:13.840
to prove to the president that it works. Yeah, in

1357
01:12:13.880 --> 01:12:19.840
a simulator. Right, They're not allowed to test their product anymore. Yeah,

1358
01:12:20.159 --> 01:12:23.479
so they have to simulate it in a simulator to

1359
01:12:23.520 --> 01:12:25.680
make sure it will actually work, if it ever is

1360
01:12:25.760 --> 01:12:30.399
needed to work. But yeah, it's a different world to military,

1361
01:12:30.560 --> 01:12:31.319
right because of that.

1362
01:12:31.640 --> 01:12:33.800
Yeah, So let's move on to talk a little about

1363
01:12:33.800 --> 01:12:35.920
in the last ten minutes or so of the show,

1364
01:12:36.359 --> 01:12:40.000
how we might see these robots in kind of more

1365
01:12:40.000 --> 01:12:43.840
of a service mode and how they they may be monetized,

1366
01:12:44.199 --> 01:12:48.039
and what those kind of processes might be, whether it's

1367
01:12:48.079 --> 01:12:51.359
a they're going to operate on a subscription model. I mean,

1368
01:12:51.399 --> 01:12:54.680
if you think about your iPhone today, we buy apps, right,

1369
01:12:54.840 --> 01:12:58.720
and or we acquire apps could be interpreted in my

1370
01:12:58.880 --> 01:13:02.000
mind as kind of like maybe like a skills type platform.

1371
01:13:02.039 --> 01:13:05.600
It has certain abilities right in the app. Right. Do

1372
01:13:05.680 --> 01:13:07.560
you think that's going to be the model that is

1373
01:13:07.600 --> 01:13:10.600
brought to let's say Optimus, is that you'll be able

1374
01:13:10.640 --> 01:13:13.479
to subscribe to certain skills like the ability to mow

1375
01:13:13.560 --> 01:13:16.119
the lawn, or the ability to the dishes or things

1376
01:13:16.159 --> 01:13:16.520
like that.

1377
01:13:16.880 --> 01:13:20.439
Yeah, Like household chores cost fifty bucks a month, right,

1378
01:13:23.079 --> 01:13:25.840
and the first one, I bet if I saw a

1379
01:13:25.960 --> 01:13:28.840
robot on my street, the first one is going to

1380
01:13:28.880 --> 01:13:32.239
be let like in a delivery van or an Amazon

1381
01:13:32.279 --> 01:13:36.039
truck or something like that. And replacing that the figuring

1382
01:13:36.039 --> 01:13:38.000
out how to get a product from my curb to

1383
01:13:38.079 --> 01:13:41.439
my front door. Right, A robot can by that. And

1384
01:13:41.520 --> 01:13:46.239
that's part of the delivery service fee. Right, We're already

1385
01:13:46.239 --> 01:13:48.920
paying it. Right. We pay a human to deliver our

1386
01:13:48.960 --> 01:13:51.720
Amazon factions to our front door and ring them ring doorbell,

1387
01:13:51.760 --> 01:13:56.960
which is also on by Amazon. So in the future,

1388
01:13:57.039 --> 01:13:58.640
you're going to have a robot that does that and

1389
01:13:59.039 --> 01:14:02.560
that's going to the feed of delivering the package is

1390
01:14:03.000 --> 01:14:05.560
going to pay for the robot, right. So that's one thing.

1391
01:14:05.800 --> 01:14:07.560
But if you want to bring it inside and have

1392
01:14:07.640 --> 01:14:09.840
it set your table, maybe able to say, hey, I

1393
01:14:10.359 --> 01:14:12.520
can set your table the first time for free, but

1394
01:14:12.720 --> 01:14:14.199
you know, if you want me to come in and

1395
01:14:14.239 --> 01:14:17.279
set the table every time starting next time, you got

1396
01:14:17.279 --> 01:14:20.479
to pay something ten dollars a month or something. Right

1397
01:14:20.680 --> 01:14:26.720
for household food chores food right, the food chore package. Right, Oh,

1398
01:14:26.760 --> 01:14:28.880
you want the food chore pack something like that, right,

1399
01:14:28.960 --> 01:14:31.760
So you pay your twenty bucks a month and it'll

1400
01:14:31.800 --> 01:14:34.439
let set up your table and wash your dishes. It'll

1401
01:14:34.640 --> 01:14:38.159
maybe help you cook if you're doing cooking right. Food chores.

1402
01:14:38.960 --> 01:14:41.239
Oh you want to clean the bathroom, that's a bathroom chore.

1403
01:14:41.560 --> 01:14:42.800
That's another twenty bucks a month.

1404
01:14:42.880 --> 01:14:46.880
Right, Yeah, I can see that right.

1405
01:14:47.800 --> 01:14:51.920
The glass cleaning robot's a good example. China already had.

1406
01:14:52.039 --> 01:14:54.039
I saw them at the Consumer Elec trying to show

1407
01:14:54.159 --> 01:14:57.239
nine years ago they have glass cleaning robots that going

1408
01:14:57.720 --> 01:15:00.600
up and down in your glass and clean it, but

1409
01:15:00.640 --> 01:15:04.239
they have to be moved. Well, a humanoid robot could

1410
01:15:04.279 --> 01:15:07.439
bring that robot to your house and put it on

1411
01:15:07.479 --> 01:15:10.560
the glass and charge you. Oh you need your glass

1412
01:15:10.640 --> 01:15:11.119
all dirty?

1413
01:15:11.119 --> 01:15:11.279
Man?

1414
01:15:11.319 --> 01:15:14.399
I could clean your glass up for forty bucks, right,

1415
01:15:14.520 --> 01:15:18.119
I'll take that day. Yeah, and I'll just move the

1416
01:15:18.239 --> 01:15:21.279
glass robot around the house until all the glass is cleaned.

1417
01:15:21.479 --> 01:15:23.600
Yeah. I mean I think that these things are going

1418
01:15:23.640 --> 01:15:26.960
to I think the spectrum of monetization on these things

1419
01:15:27.800 --> 01:15:30.520
is going to be pretty vast of different ways that

1420
01:15:30.560 --> 01:15:35.119
they can these skills and these abilities can be monetized.

1421
01:15:36.039 --> 01:15:39.760
I do wonder, do you see a robot ever becoming

1422
01:15:39.760 --> 01:15:40.760
a content creator.

1423
01:15:41.119 --> 01:15:44.720
Yes, your car will be if there's a fire on

1424
01:15:44.760 --> 01:15:46.920
the gold and Gate Bridge and your tesla goes by

1425
01:15:46.960 --> 01:15:52.720
the fire and it ingested the video off the cameras

1426
01:15:52.840 --> 01:15:55.600
and made a Gaussian splatter or a neural radiance field,

1427
01:15:55.600 --> 01:15:59.239
which is a new three D scene, and it puts

1428
01:15:59.239 --> 01:16:03.119
it on x dot com into the fire feed. Right,

1429
01:16:04.239 --> 01:16:07.720
isn't that content that a robot created? Yeah? Yeah, I

1430
01:16:08.079 --> 01:16:10.640
am social network that's completely done by robot.

1431
01:16:11.119 --> 01:16:13.520
Yeah, I can do that. I mean even podcasts. I

1432
01:16:13.560 --> 01:16:16.680
mean that's a big discussion in the podcast industry right now,

1433
01:16:16.800 --> 01:16:21.479
is how far down this path of content creation do

1434
01:16:21.520 --> 01:16:23.239
we want to accept in podcasting?

1435
01:16:23.840 --> 01:16:25.640
Have you used a script at all?

1436
01:16:25.880 --> 01:16:27.479
Oh? Yeah, oh yeah I used so the.

1437
01:16:27.439 --> 01:16:30.960
Script had me read to it for thirty minutes, and

1438
01:16:31.119 --> 01:16:33.800
now I can type to it and it talks like me.

1439
01:16:34.560 --> 01:16:37.119
Yeah, yeah, I have a clone of my voice in there.

1440
01:16:37.239 --> 01:16:40.039
Right, they go, right? So how much do you as

1441
01:16:40.079 --> 01:16:42.319
a podcaster? Do you use it to fill in a

1442
01:16:42.399 --> 01:16:45.399
sentence here there where you made a mistake or said

1443
01:16:45.399 --> 01:16:47.359
it too many times or something like that. You cut

1444
01:16:47.399 --> 01:16:49.399
it out and yeah, I can cut it out right

1445
01:16:49.760 --> 01:16:54.600
and tell it to make you smarter. I said something

1446
01:16:54.640 --> 01:16:58.640
stupid there, can you exactly? And it could? Right?

1447
01:16:58.880 --> 01:16:59.800
Yeah, totally.

1448
01:17:00.000 --> 01:17:02.800
Do you use that for one sentence out of one hundred, right,

1449
01:17:03.039 --> 01:17:05.199
and then the next week to use it for two

1450
01:17:05.239 --> 01:17:07.840
sentences out of one hundred. Another couple of months, are

1451
01:17:07.880 --> 01:17:10.159
you using it for twenty sentences out of one hundred?

1452
01:17:10.199 --> 01:17:14.159
Yeah? I found that I used it too much early on,

1453
01:17:14.279 --> 01:17:15.880
and then I've been kind of backing off from it

1454
01:17:15.920 --> 01:17:17.960
a little bit because you have this kind of tension

1455
01:17:18.000 --> 01:17:22.399
between authenticity and too much of a robotic type of

1456
01:17:22.920 --> 01:17:25.960
consumption experience. Right, if you cut it too much, then

1457
01:17:26.000 --> 01:17:29.560
it because it edits the video and the audio. I

1458
01:17:29.560 --> 01:17:31.800
think the audio turns out better than the video does

1459
01:17:31.840 --> 01:17:35.079
because the video gets a little chopped up, right, So

1460
01:17:35.119 --> 01:17:37.920
you're kind of jerking around in the video while you're

1461
01:17:37.960 --> 01:17:40.640
watching it because it's editing that, right, it's pulling out

1462
01:17:41.000 --> 01:17:43.840
like maybe pauses, or it's pulling out spaces, or it's

1463
01:17:43.840 --> 01:17:46.920
pulling out certain words, and that causes kind of a

1464
01:17:46.960 --> 01:17:50.840
disruptive kind of consumption experience. But really my interest on

1465
01:17:50.920 --> 01:17:57.840
that is voice cloning the video capability, right, because autonomous

1466
01:17:58.319 --> 01:18:03.119
robots don't have to take the form of humans, right,

1467
01:18:03.359 --> 01:18:05.720
For them to kind of take over, just like what

1468
01:18:05.800 --> 01:18:09.000
you said. So that could be a whole podcast network

1469
01:18:09.039 --> 01:18:13.399
that's generated based on AI technology or AGI type of

1470
01:18:13.439 --> 01:18:16.479
technology that takes a subject and drolls into it and

1471
01:18:16.520 --> 01:18:18.600
creates very human like experiences.

1472
01:18:18.720 --> 01:18:24.680
Yeah, and with less and less over time human interaction

1473
01:18:25.159 --> 01:18:28.680
or instruction. Right, right, it's going to get better and

1474
01:18:28.720 --> 01:18:33.640
better at writing or talking or doing a video avatar,

1475
01:18:34.199 --> 01:18:38.760
moving avatar. I can totally see AI content is coming.

1476
01:18:39.840 --> 01:18:43.239
It's still it's hard to wrap your head around it

1477
01:18:43.359 --> 01:18:47.239
because we don't think about what a robot could do

1478
01:18:47.319 --> 01:18:50.319
better than like the Golden gate Bridge fire. Right, If

1479
01:18:50.359 --> 01:18:53.680
there's a fire on the Golden gate Bridge, I'm not there.

1480
01:18:54.159 --> 01:18:56.600
For me to get there, it would take some time,

1481
01:18:56.920 --> 01:19:01.000
but a tesla is rolling across it every three seconds. Yeah, right,

1482
01:19:01.039 --> 01:19:05.239
so it's already there. So a car can be like, oh,

1483
01:19:06.039 --> 01:19:08.279
a truck just started on fire, right, and another one

1484
01:19:08.319 --> 01:19:11.520
goes by, Oh, it's burning good. Another one goes by,

1485
01:19:11.880 --> 01:19:15.239
it's burning really good, and it keeps updating the Gossians flat,

1486
01:19:15.319 --> 01:19:18.439
so people can watch it at home burning, and then

1487
01:19:18.680 --> 01:19:21.119
you can it'll report when the fire truck gets there,

1488
01:19:21.119 --> 01:19:23.439
and I'll report how many lanes of traffic are closed,

1489
01:19:23.439 --> 01:19:27.119
and it'll report all sorts of things, right, and that's

1490
01:19:27.159 --> 01:19:30.880
a news story fire on the go and gate bridge

1491
01:19:30.880 --> 01:19:33.359
if traffic is slow. Right, Well, that could be written

1492
01:19:33.359 --> 01:19:35.720
by an AI. There's no need for a human being

1493
01:19:35.720 --> 01:19:38.399
to write that. There's no value in a human being

1494
01:19:38.399 --> 01:19:39.720
writing that other than.

1495
01:19:40.039 --> 01:19:43.479
Yeah, I think it's already getting to a point where

1496
01:19:43.520 --> 01:19:50.119
the video and the audio are almost indistinguishable from human experiences.

1497
01:19:50.399 --> 01:19:52.680
We're already there. I can imagine what it's going to

1498
01:19:52.720 --> 01:19:55.199
be a year or two years from now, and also

1499
01:19:55.279 --> 01:19:57.840
what chat GPT is going to look like when it

1500
01:19:57.880 --> 01:20:00.560
comes out with five point zero or so point zero

1501
01:20:00.560 --> 01:20:03.840
in the future. How much improvement is going to happen

1502
01:20:03.840 --> 01:20:06.880
in there? And and it's hard to really grasp what

1503
01:20:06.920 --> 01:20:09.760
the improvement could be in there. Is it just intelligence?

1504
01:20:09.960 --> 01:20:11.560
Is that where the improvement is or is it just

1505
01:20:11.840 --> 01:20:15.359
quality of output? I'm not sure what that spectrum looks like.

1506
01:20:15.560 --> 01:20:17.960
I mean, what makes a good Let's say I was

1507
01:20:17.960 --> 01:20:22.680
comparing you your podcast versus an AI part podcast, right, yeah,

1508
01:20:22.800 --> 01:20:26.119
what makes you better? You're more knowledgeable at a certain thing.

1509
01:20:26.520 --> 01:20:29.039
You're human, and so you have a warmth to you, right,

1510
01:20:29.359 --> 01:20:33.560
A little randomness, a little weirdness. Right, we're biological and

1511
01:20:33.640 --> 01:20:35.560
the computer is going to be cold. It's going to

1512
01:20:35.600 --> 01:20:38.319
have a set pattern that it was programmed to do, right,

1513
01:20:38.399 --> 01:20:41.960
and so the stories might not have as much detail

1514
01:20:42.000 --> 01:20:45.119
as a human being. Right now, Sorry, there's a leaf

1515
01:20:45.119 --> 01:20:46.640
blower right outside my window.

1516
01:20:47.000 --> 01:20:50.279
Okay, of course that always happens while you're recording.

1517
01:20:51.119 --> 01:20:54.520
Of course. Anyways, over time, how do you improve the

1518
01:20:54.560 --> 01:20:59.479
AI want to be better than the human? One detail detail?

1519
01:20:59.600 --> 01:21:02.039
That training data, right, it's the same thing that we're

1520
01:21:02.079 --> 01:21:04.920
seeing with the full self driving stuff. It's more training

1521
01:21:05.000 --> 01:21:08.640
data in different situations and scenarios because you know, I

1522
01:21:08.720 --> 01:21:12.920
came across on my trip back from Washing DC scenarios

1523
01:21:12.920 --> 01:21:15.279
that I'd never been in before on the freeways because

1524
01:21:15.279 --> 01:21:17.880
of construction and those kinds of things that it just

1525
01:21:17.920 --> 01:21:23.359
couldn't figure out. It because the needs more data, right.

1526
01:21:23.239 --> 01:21:27.560
To become more human like, Right, to have more knowledge

1527
01:21:27.560 --> 01:21:31.319
about the world and more of a belief on Twitter's face.

1528
01:21:31.399 --> 01:21:34.039
A lot of times I'm talking to Dylan, who's researcher

1529
01:21:34.079 --> 01:21:37.840
at Unity Labs, and we talk about digital consciousness all

1530
01:21:37.880 --> 01:21:42.079
the time. That's his favorite topic, right, And so how

1531
01:21:42.119 --> 01:21:47.479
does an AI get more human like over time?

1532
01:21:48.039 --> 01:21:48.239
Right?

1533
01:21:48.720 --> 01:21:53.239
Detail, belief system soul, a digital soul. I know a

1534
01:21:53.239 --> 01:21:56.880
guy who's building digital souls for robots, right, So as

1535
01:21:56.920 --> 01:22:01.680
the robot lives its life or operates, it becomes more

1536
01:22:01.800 --> 01:22:03.119
human like over time.

1537
01:22:03.800 --> 01:22:07.560
Yeah, so we have to capture more data from either

1538
01:22:07.920 --> 01:22:13.319
humans or the environment or you know, the physical world, right, which,

1539
01:22:13.960 --> 01:22:17.840
just looking at the map that Tesla uses for their

1540
01:22:17.840 --> 01:22:21.439
full self driving is not complete, right, It's missing. It's

1541
01:22:21.439 --> 01:22:24.800
trying to infer based on the video cameras, but it's

1542
01:22:24.840 --> 01:22:26.039
still missing things. Right.

1543
01:22:26.079 --> 01:22:28.880
Oh yeah, if there's a ladder in lane one, it

1544
01:22:29.319 --> 01:22:32.319
doesn't really know that well and certainly doesn't know it

1545
01:22:32.359 --> 01:22:34.199
the way it's going to know it in five years.

1546
01:22:34.279 --> 01:22:38.039
Where like in Silicon Valley, there's so many teslas here,

1547
01:22:38.079 --> 01:22:42.159
there's often I'm in a pot of four to eight teslas, right,

1548
01:22:42.479 --> 01:22:44.319
and so you start thinking about, oh, wait to say,

1549
01:22:44.319 --> 01:22:47.319
and the people up ahead of me could be imaging

1550
01:22:47.359 --> 01:22:50.239
the road and oh there's a ladder in lane one.

1551
01:22:50.680 --> 01:22:53.199
It could tell my car, hey, get out of lane

1552
01:22:53.199 --> 01:22:55.479
one and there's a ladder up ahead right right, and

1553
01:22:55.560 --> 01:22:57.560
my car will just switch the lane three and be like,

1554
01:22:57.560 --> 01:22:59.960
why are they just change lanes? Oh, there's a ladder

1555
01:23:00.039 --> 01:23:02.279
in lane one. It doesn't do that kind of stuff,

1556
01:23:02.319 --> 01:23:04.720
but it will in the future as it gets more

1557
01:23:04.800 --> 01:23:07.479
data right and gets the abilitation here.

1558
01:23:07.760 --> 01:23:10.359
Yeah, I'm seeing that a little bit already with the software,

1559
01:23:10.399 --> 01:23:12.920
where it'll see something in the road and it'll kind

1560
01:23:12.920 --> 01:23:14.800
of get out of the way, right, it'll just go

1561
01:23:14.920 --> 01:23:16.039
around it because.

1562
01:23:15.800 --> 01:23:18.239
It's not doing it in a systematic way and it's

1563
01:23:18.279 --> 01:23:21.239
not doing car to car communication like it's going to

1564
01:23:21.760 --> 01:23:24.079
probably in the next eighteen months. And this is coming

1565
01:23:24.560 --> 01:23:28.600
right car ahead of you sees an object in lane one,

1566
01:23:29.039 --> 01:23:31.079
your car is going to switch its lane over lane

1567
01:23:31.119 --> 01:23:34.600
three because it knows there's an obstacle in lane one.

1568
01:23:35.039 --> 01:23:38.960
Yeah, So so the most likely scenarios it's going to

1569
01:23:39.000 --> 01:23:42.640
be tesla to tesla communication. Right. So there's lots of

1570
01:23:42.720 --> 01:23:44.319
situation where I'm driving down the road and there's a

1571
01:23:44.359 --> 01:23:46.199
tesla in front of me and one on the side

1572
01:23:46.199 --> 01:23:48.520
of me or whatever, and it currently doesn't have any

1573
01:23:48.520 --> 01:23:50.800
idea that their tesla is because it may not have

1574
01:23:50.840 --> 01:23:53.680
a reason to, right, But when we have a reason

1575
01:23:53.720 --> 01:23:57.039
to then it'll probably put up there in the screen

1576
01:23:57.159 --> 01:23:57.920
that it's a tesla.

1577
01:23:58.079 --> 01:24:00.800
Right, there is some car to car commune unication because

1578
01:24:00.840 --> 01:24:04.079
there's a red line telling you there's traffic up ahead.

1579
01:24:04.279 --> 01:24:06.520
All right, so, yeah, is that coming far?

1580
01:24:06.640 --> 01:24:07.560
Is up ahead of you?

1581
01:24:07.680 --> 01:24:08.880
Reported to Google?

1582
01:24:08.920 --> 01:24:09.039
Though?

1583
01:24:09.119 --> 01:24:10.079
Is that coming from Google?

1584
01:24:10.119 --> 01:24:13.520
Though? No, it's coming from the data's coming from Tesla's

1585
01:24:13.880 --> 01:24:16.640
as well as good. Google actually is buying it from Horizon.

1586
01:24:16.680 --> 01:24:20.479
It's funny. I saw an accent on a two lane

1587
01:24:20.560 --> 01:24:22.840
road and by the time I got up to the accident,

1588
01:24:22.920 --> 01:24:27.319
the phone screen started turning red right because people were

1589
01:24:27.319 --> 01:24:30.840
backed up behind the accent and slowing down and stopping.

1590
01:24:31.359 --> 01:24:34.600
And I was like, I asked a Google guy who

1591
01:24:34.640 --> 01:24:36.840
works on maps. I was like, how did it get

1592
01:24:36.840 --> 01:24:39.399
read so fast? Because you didn't have very much data?

1593
01:24:39.439 --> 01:24:42.640
There was fifteen cars involved. He's like, oh, we're buying

1594
01:24:42.640 --> 01:24:46.279
the data from Horizon. I'm like, oh, you're getting real

1595
01:24:46.319 --> 01:24:49.920
time data from Horizon cell phones that it knows the

1596
01:24:50.039 --> 01:24:52.680
Rizon cell phone is stopping on a road so it

1597
01:24:52.720 --> 01:24:56.239
turns the road red. Yeah, that's what we do. It's

1598
01:24:56.319 --> 01:25:03.199
like what people have no idea all these relationships between

1599
01:25:03.960 --> 01:25:09.159
Verizon and Google doing real time data sharing. We really

1600
01:25:09.159 --> 01:25:11.119
don't think too much about that, but that's how these

1601
01:25:11.119 --> 01:25:13.199
things work underneath. Yeah.

1602
01:25:13.439 --> 01:25:16.479
Yeah, So how would you recommend that just a person

1603
01:25:16.520 --> 01:25:19.640
watching this try and learn more about what the future

1604
01:25:19.720 --> 01:25:21.840
looks like with this stuff. I know we've talked a

1605
01:25:21.840 --> 01:25:23.880
lot about it here, but I think we've raised more

1606
01:25:23.960 --> 01:25:25.079
questions than we've answered.

1607
01:25:25.119 --> 01:25:27.760
Probably over on x dot com, I went through one

1608
01:25:27.840 --> 01:25:30.960
hundred thousand people's accounts and built lists for you. So

1609
01:25:31.000 --> 01:25:35.239
I have twenty thousand people in AI world on four lists.

1610
01:25:35.399 --> 01:25:38.359
I have a robot list just of the robot people.

1611
01:25:38.399 --> 01:25:41.439
I have a neuroscience list just for the neuroscientists. Right,

1612
01:25:41.880 --> 01:25:44.520
So you watch those lists over time, You're going to

1613
01:25:44.640 --> 01:25:47.960
learn just by watching reading, Right. That's one way. The

1614
01:25:48.000 --> 01:25:50.640
other way is just dive into the industry and start

1615
01:25:51.000 --> 01:25:54.159
do what I did. I made a database of fifty

1616
01:25:54.159 --> 01:25:56.880
four hundred AI companies, right, so I could have some

1617
01:25:57.000 --> 01:26:00.119
idea of what's happening in this industry and what I

1618
01:26:00.119 --> 01:26:02.920
should be, what I care about, what I should pay

1619
01:26:02.960 --> 01:26:06.479
attention to, and what's happening. And I can watch lists

1620
01:26:06.479 --> 01:26:10.680
of all those on x pro and so in one screen,

1621
01:26:10.720 --> 01:26:12.920
I can watch the whole entire world go by. If

1622
01:26:12.960 --> 01:26:16.560
you're not using x pro, unless you're missing out, But yeah,

1623
01:26:16.880 --> 01:26:19.520
I built you the list there. They took thousands of

1624
01:26:19.520 --> 01:26:22.640
hours of bills you're not going to build better ones.

1625
01:26:23.359 --> 01:26:26.479
I have the lists that are back by far the

1626
01:26:26.479 --> 01:26:28.239
best lists in the tech industry.

1627
01:26:28.479 --> 01:26:32.159
Yeah. So Robert, you started your own show, it's called Unaligned.

1628
01:26:32.359 --> 01:26:32.600
Yeah.

1629
01:26:32.960 --> 01:26:35.640
Here in the last six months or so, and on

1630
01:26:35.760 --> 01:26:38.840
your x account you've got lots of posts that you

1631
01:26:38.880 --> 01:26:42.279
put up there about all sorts of AI type topics,

1632
01:26:42.359 --> 01:26:45.319
of VR AR kind of topics. But I think you've

1633
01:26:45.359 --> 01:26:48.199
really started to shift towards more AI.

1634
01:26:48.960 --> 01:26:49.159
Yeah.

1635
01:26:49.840 --> 01:26:54.960
Yeah, I'll come back the AI driven glasses or X

1636
01:26:55.319 --> 01:26:58.079
our mixed reality glasses. Right. So I've been covering that

1637
01:26:58.119 --> 01:27:01.960
world spatial computing devices. I've been covering that world for

1638
01:27:02.000 --> 01:27:04.800
a long time, and so as that gets hot again,

1639
01:27:04.840 --> 01:27:08.600
I'll probably cover that quite heavily because that's highly interesting

1640
01:27:08.640 --> 01:27:12.039
to me. All the AI I have they're outside, but

1641
01:27:12.119 --> 01:27:15.039
I have all sorts of pendants and things that new

1642
01:27:15.119 --> 01:27:17.319
kinds of hardware that has AI inside of them, and

1643
01:27:17.359 --> 01:27:20.760
I'm watching that world. I'm just really much more bullish

1644
01:27:20.800 --> 01:27:23.079
on glasses because I think the AI needs to show

1645
01:27:23.159 --> 01:27:25.800
us things, right, in addition to talking to us.

1646
01:27:26.079 --> 01:27:29.479
Yeah, and it's also a data gathering thing too, right,

1647
01:27:29.600 --> 01:27:32.800
So it's seeing the real world from a human perspective.

1648
01:27:33.439 --> 01:27:37.399
Here's a fun one. Right, you go to a national park,

1649
01:27:37.479 --> 01:27:41.000
like we went to Antietam National Battlefield, where the biggest

1650
01:27:41.000 --> 01:27:43.520
battle of the Civil War was. Right. I take a

1651
01:27:43.560 --> 01:27:45.680
picture of the cannons on the field, and it tells

1652
01:27:45.680 --> 01:27:47.520
me about them. I take a picture of the church

1653
01:27:47.560 --> 01:27:49.439
on the field. It tells me about the church. I

1654
01:27:49.520 --> 01:27:51.279
take a picture of the signs on the field. It

1655
01:27:51.279 --> 01:27:53.359
tells me about the signs. But you know, because the

1656
01:27:53.359 --> 01:27:55.840
signs just have a few words on them, it gives

1657
01:27:55.880 --> 01:27:59.319
me a whole story about what happened at that mark. Right,

1658
01:27:59.720 --> 01:28:02.960
And then I ask it, can you simulate a battle

1659
01:28:03.399 --> 01:28:06.960
on the field, and it can't. It sends you a picture.

1660
01:28:07.640 --> 01:28:10.720
It's like, oh, this is going to get really crazy

1661
01:28:10.800 --> 01:28:16.079
soon because you can simulate all sorts of have it.

1662
01:28:16.159 --> 01:28:18.359
Could you show me what happened in history at this

1663
01:28:18.479 --> 01:28:20.600
place and it'll simulate it and send it back to

1664
01:28:20.680 --> 01:28:23.039
you and it'll be something accurate.

1665
01:28:24.680 --> 01:28:26.319
Yeah, yeah, I mean it's.

1666
01:28:26.560 --> 01:28:27.720
All the photos that they had.

1667
01:28:27.800 --> 01:28:32.159
Right. It's a pretty freaky world that we're coming into, Robert,

1668
01:28:32.199 --> 01:28:33.079
isn't it. Yeah?

1669
01:28:33.159 --> 01:28:36.600
It sure is. Yeah. And we haven't even covered music.

1670
01:28:38.800 --> 01:28:42.399
There are so many topics to talk about. That's what

1671
01:28:42.439 --> 01:28:44.439
I was talking about earlier. We could do a two

1672
01:28:44.560 --> 01:28:46.880
or three hour episode here just on trying to cover

1673
01:28:46.960 --> 01:28:49.079
the whole spectrum of this, because it's going to impact

1674
01:28:49.079 --> 01:28:53.119
every aspect of our lives absolutely, and it may let's

1675
01:28:53.119 --> 01:28:55.520
spend a couple of minutes talking about something we did

1676
01:28:55.600 --> 01:28:58.239
kind of allude to the exciting parts of this, but

1677
01:28:58.279 --> 01:29:01.199
there's also some some scary parts too.

1678
01:29:01.960 --> 01:29:04.800
Technology always has a bad and a good. Right, Cars,

1679
01:29:05.119 --> 01:29:07.479
We all use cars because they have a good, but

1680
01:29:07.520 --> 01:29:09.319
they kill people. They have a bad.

1681
01:29:09.520 --> 01:29:11.960
They can kill people, right, forty.

1682
01:29:11.720 --> 01:29:14.800
Thousand people in America die every year in them. So right,

1683
01:29:15.000 --> 01:29:18.800
so they kill people. It's humans killing each other and

1684
01:29:19.239 --> 01:29:22.560
the thing, but you know it's a problem, and so yeah,

1685
01:29:22.640 --> 01:29:25.520
every technology is like that. A database could be used

1686
01:29:25.520 --> 01:29:29.439
to catalog people in a concentration camp, but it could

1687
01:29:29.479 --> 01:29:35.640
also be used to find cancer. Right, So it has

1688
01:29:35.680 --> 01:29:37.680
a good and a bad, and humans have to figure

1689
01:29:37.720 --> 01:29:39.600
out how do we do more of the good and

1690
01:29:39.680 --> 01:29:40.520
most of the bad.

1691
01:29:41.039 --> 01:29:43.960
Yeah, and that's where this question of trust comes into too,

1692
01:29:44.199 --> 01:29:44.399
is it?

1693
01:29:44.960 --> 01:29:47.399
I think I even talk about neuraling what happens to

1694
01:29:47.399 --> 01:29:49.239
trust when you get a wire on your brain?

1695
01:29:49.600 --> 01:29:53.199
Well, does that turn you into autonomous vehicle.

1696
01:29:53.319 --> 01:29:58.319
Yes, yes, it does. This is the problem coming. That's

1697
01:29:58.359 --> 01:30:01.399
one of the downsides of neural is you don't have

1698
01:30:01.439 --> 01:30:04.000
free will anymore. If there's a wire on my brain,

1699
01:30:04.159 --> 01:30:09.159
I am not in control somebody else's. That's a big problem. Yeah,

1700
01:30:09.319 --> 01:30:12.520
I mean, I mean, and somebody else is listening on

1701
01:30:12.680 --> 01:30:16.039
my inner dialog, which might be despicable at times. I

1702
01:30:16.079 --> 01:30:19.199
don't want a government or Elon Musk in my head,

1703
01:30:19.520 --> 01:30:23.119
particularly if I'm a young kid it was starting to

1704
01:30:23.119 --> 01:30:27.479
figure out their sexuality, right, right, or something like that,

1705
01:30:27.800 --> 01:30:32.359
where you don't want thought crime to happen. That's dystopian.

1706
01:30:34.600 --> 01:30:38.159
Yeah. So we got a comment from a viewer of

1707
01:30:38.199 --> 01:30:41.640
this is that this does feel like listening in on

1708
01:30:41.680 --> 01:30:44.439
a conversation between two people on a park bench.

1709
01:30:44.560 --> 01:30:48.039
Robert, that's the way we are, right.

1710
01:30:49.279 --> 01:30:51.479
Or in a Starbucks or something like that. Right.

1711
01:30:52.520 --> 01:30:55.520
I remember driving around with you in my car in Seattle,

1712
01:30:55.600 --> 01:30:57.800
right when we worked at my Sense exactly.

1713
01:30:58.279 --> 01:31:00.640
You know. I think you recorded that as a video

1714
01:31:00.720 --> 01:31:03.000
back then too. That was before people were really doing

1715
01:31:03.000 --> 01:31:03.760
that kind of stuff.

1716
01:31:04.039 --> 01:31:04.680
Yeah.

1717
01:31:05.159 --> 01:31:08.960
So, and then you came out here last year and

1718
01:31:09.000 --> 01:31:11.960
we met, We caught up with each other and we

1719
01:31:12.039 --> 01:31:15.520
both had Tesla's with us at that time. But yeah,

1720
01:31:15.600 --> 01:31:19.119
it's a it's a it's kind of a strange world,

1721
01:31:19.119 --> 01:31:21.560
and I think a lot of people feel uncomfortable with

1722
01:31:21.640 --> 01:31:25.039
what's developing in the way it's moving time.

1723
01:31:26.079 --> 01:31:28.640
A human eyed robot with cameras. You're going to have

1724
01:31:28.680 --> 01:31:32.039
it in your house set some someday. Maybe it takes

1725
01:31:32.039 --> 01:31:34.600
ten years, but you're going to have a robot like that.

1726
01:31:34.600 --> 01:31:39.439
That's freaky. What do you mean. I've had these arguments

1727
01:31:39.439 --> 01:31:43.600
with family members about Amazon Alexa device. It's listening to

1728
01:31:43.640 --> 01:31:47.319
you right, Oh wait until you got a robot with

1729
01:31:48.079 --> 01:31:51.039
that can move things around your house and see everything

1730
01:31:51.119 --> 01:31:54.079
and catalog everything and track everything in your house, like

1731
01:31:54.159 --> 01:31:56.479
it'll know where your kid catch a bottle is.

1732
01:31:56.840 --> 01:31:59.000
Oh yeah, well, Also, I don't know if you've had

1733
01:31:59.000 --> 01:32:01.720
this happen to you too with those in home kind

1734
01:32:01.760 --> 01:32:03.920
of audio devices. I don't want to say their name,

1735
01:32:03.960 --> 01:32:13.119
but it'll disrupt our show. But exactly so, these but

1736
01:32:13.239 --> 01:32:16.880
I think they're going to convert into almost like AI

1737
01:32:17.039 --> 01:32:20.239
robots as well. It's going to be audio, but it'll

1738
01:32:20.279 --> 01:32:23.319
have the ability to have reach. I mean, I think

1739
01:32:23.359 --> 01:32:26.880
most people have the ability to control their home, their lights.

1740
01:32:26.960 --> 01:32:30.720
They're built in functions of their home right with a

1741
01:32:31.119 --> 01:32:31.760
voice command.

1742
01:32:32.359 --> 01:32:36.199
So I have digital lights with microphones and a computer underneath, right,

1743
01:32:36.800 --> 01:32:39.039
and you can change those the color on those on

1744
01:32:39.079 --> 01:32:42.640
your phone. And there's microphones so you can do like

1745
01:32:42.760 --> 01:32:47.520
E d M concert capage, good to music.

1746
01:32:48.000 --> 01:32:51.239
But I do kind of wonder kind of as we

1747
01:32:51.279 --> 01:32:54.479
move into this, are we going to be able to

1748
01:32:54.640 --> 01:32:56.399
trust any of this stuff? And I think is it

1749
01:32:56.600 --> 01:33:00.920
wise for us to be skeptical of the darker side

1750
01:33:00.920 --> 01:33:05.279
of this kind of stuff? Yes, but it's also it's

1751
01:33:05.319 --> 01:33:09.920
coming right, right, and we either have to accept it

1752
01:33:10.079 --> 01:33:12.760
or live in a life of anxiety, right, or.

1753
01:33:12.720 --> 01:33:15.840
Even go amish, or you're join the homage. There's thirty

1754
01:33:15.880 --> 01:33:19.479
thousand people that who don't have computers and maybe have

1755
01:33:19.560 --> 01:33:20.399
a little phone.

1756
01:33:20.479 --> 01:33:23.119
But you know, yeah, that's a whole other level of

1757
01:33:23.119 --> 01:33:24.479
cut the cord. I think it was.

1758
01:33:24.960 --> 01:33:28.439
Yeah, you can go join them, I can start your

1759
01:33:28.439 --> 01:33:32.079
own call. We don't allow those new fangled AI computers.

1760
01:33:31.560 --> 01:33:33.920
In our cult, right, And I do think that there's

1761
01:33:33.920 --> 01:33:35.239
going to be a certain amount of people that are

1762
01:33:35.359 --> 01:33:39.319
going to do that. Yeah, because of the fear factor.

1763
01:33:40.439 --> 01:33:42.000
What do you mean, I'm robot's kind of come in

1764
01:33:42.000 --> 01:33:45.560
my house and watch me naked, No way, not in

1765
01:33:45.560 --> 01:33:46.079
my house.

1766
01:33:46.880 --> 01:33:52.720
Well, it's also going to potentially enable better law enforcement too, right,

1767
01:33:52.840 --> 01:33:53.439
more control.

1768
01:33:53.720 --> 01:33:57.079
I broke my window and my test out front and

1769
01:33:57.359 --> 01:33:59.319
just write a bunch of other staff. I was swinging

1770
01:33:59.359 --> 01:34:02.039
an axe round. The first thing the cop wanted was

1771
01:34:02.199 --> 01:34:05.439
the door the doorbell footage, right.

1772
01:34:05.479 --> 01:34:06.560
Or the tesla footage.

1773
01:34:06.640 --> 01:34:11.920
I mean, yes, for all the footage, and that of

1774
01:34:11.960 --> 01:34:14.600
course I had no footage because I had I turned

1775
01:34:14.600 --> 01:34:16.479
off my testis because it was out in front of

1776
01:34:16.479 --> 01:34:18.960
my house. I figured out, why do I need a

1777
01:34:19.119 --> 01:34:23.560
surveillance of myself? Well, now it's on, yeah, because of

1778
01:34:23.600 --> 01:34:27.399
this incident, right, And I've made sure that the ring

1779
01:34:27.720 --> 01:34:29.960
there's a ring device on my garage that looks at

1780
01:34:30.000 --> 01:34:33.520
the whole driveway, right, and so that's on now. And

1781
01:34:33.680 --> 01:34:36.479
I have a ring doorbell that's taken video of the

1782
01:34:36.479 --> 01:34:38.640
front of my house too, and that's on now. So

1783
01:34:38.960 --> 01:34:41.000
next time the cop needs some footage, I'm gonna have

1784
01:34:41.039 --> 01:34:43.439
some footage.

1785
01:34:44.560 --> 01:34:47.520
Yeah, totally. And to some degree, that's a little bit

1786
01:34:47.560 --> 01:34:51.359
of a deterrent, right from criminals attacking your home or

1787
01:34:51.399 --> 01:34:52.840
something like that, is that they know they're going to

1788
01:34:52.880 --> 01:34:55.920
be videotaped, if you I mean I've got three four

1789
01:34:56.079 --> 01:34:58.920
Now I've got four ring cameras myself that are pointed

1790
01:34:58.960 --> 01:35:01.960
around the house. So so if anybody tries to approach

1791
01:35:02.000 --> 01:35:05.640
my house, they're going to get videotaped. So so one of.

1792
01:35:05.600 --> 01:35:07.439
Your readers, I see it on the screen, just said

1793
01:35:07.600 --> 01:35:10.560
sixteen grand wash the dishes and you get an error. Yeah,

1794
01:35:10.960 --> 01:35:12.560
you have a feeling it's not going to give you

1795
01:35:12.600 --> 01:35:14.960
an error on anything you ask it to do because

1796
01:35:15.760 --> 01:35:19.560
the Stanford robots and know how to do thousands of tasks.

1797
01:35:19.840 --> 01:35:19.960
Right.

1798
01:35:20.039 --> 01:35:22.880
Yeah, it's not just washed dishes, it's like know how

1799
01:35:22.880 --> 01:35:26.439
to do anything a human being wants to ask it. Okay, mean,

1800
01:35:26.920 --> 01:35:29.479
go garden and weed the garden, bring me a dich,

1801
01:35:30.199 --> 01:35:34.239
wash my clothes, if iron my clothes, clean the toilet.

1802
01:35:34.079 --> 01:35:38.319
Right yeah. I think what what we're seeing with that

1803
01:35:38.520 --> 01:35:42.159
comment from smirk Station is a skepticism of the real

1804
01:35:42.439 --> 01:35:46.479
reliability of the tech, right when we've seen this even

1805
01:35:46.560 --> 01:35:51.279
with Tesla, that these things don't start out being perfect. Right,

1806
01:35:51.600 --> 01:35:54.079
they do have errors and flaws and things that it

1807
01:35:54.119 --> 01:35:55.479
doesn't yet know about.

1808
01:35:55.920 --> 01:35:59.119
But right I saw a robot clean up a mess

1809
01:35:59.159 --> 01:36:01.600
on a table and it was it was real smooth

1810
01:36:01.640 --> 01:36:05.439
about our confident about it like a yunan with me, right, but.

1811
01:36:06.479 --> 01:36:08.640
Over time it gets better. It's the same thing with

1812
01:36:08.760 --> 01:36:11.079
the test test of full self driving. I'm waiting for

1813
01:36:11.119 --> 01:36:13.720
the next update to the full self driving stack that

1814
01:36:13.800 --> 01:36:17.239
takes me into the five point zero spectrum, the twelve

1815
01:36:17.239 --> 01:36:21.319
point five x X or whatever that's coming. And I'm

1816
01:36:21.680 --> 01:36:23.800
this is another factor too, So you're going to have

1817
01:36:24.439 --> 01:36:28.640
a certain amount of obsolescence that is built into this too.

1818
01:36:28.800 --> 01:36:31.439
Where when my model three and your model three, because

1819
01:36:31.479 --> 01:36:34.680
I know you've got a twenty eighteen one is probably

1820
01:36:34.680 --> 01:36:38.159
on hardware three, right, and that may not be able

1821
01:36:38.199 --> 01:36:42.479
to go much further because of the processing capability that

1822
01:36:42.600 --> 01:36:46.800
is needed to run these more advanced neuro NEETs. I

1823
01:36:46.840 --> 01:36:49.680
do wonder. I know Elon's working really hard to try

1824
01:36:49.680 --> 01:36:52.720
and get the next version of full self driving onto

1825
01:36:53.000 --> 01:36:56.159
the hardware three cars, because there's a lot of Hardware

1826
01:36:56.199 --> 01:36:58.760
three cars out there. I think is over two million, right,

1827
01:36:58.840 --> 01:37:00.079
So there's definitely a lot.

1828
01:37:00.079 --> 01:37:03.159
Those are likely to the cars that we would put

1829
01:37:03.199 --> 01:37:04.560
in a robo taxi network.

1830
01:37:04.640 --> 01:37:04.760
Right.

1831
01:37:04.800 --> 01:37:07.680
If I just got to my wife a new model

1832
01:37:07.720 --> 01:37:10.319
why well maybe the Model three it's in the robo

1833
01:37:10.439 --> 01:37:13.760
taxing goes makes us some money right and does some

1834
01:37:13.840 --> 01:37:16.199
work and I don't care that gets trash because it's

1835
01:37:16.199 --> 01:37:17.279
an old car anyways.

1836
01:37:17.439 --> 01:37:20.800
Right, Yeah, and some people paid fifteen thousand dollars for

1837
01:37:20.840 --> 01:37:24.279
full self driving on a hardware three platform. Yeah, so

1838
01:37:25.319 --> 01:37:28.520
I think, elon, maybe it coming into a pickle here

1839
01:37:28.600 --> 01:37:32.000
because the cars are not capable of being upgraded to

1840
01:37:32.159 --> 01:37:36.800
Hardware four or coming hardware five capabilities unless some now

1841
01:37:36.920 --> 01:37:39.319
figure it out. I don't know that they're going to

1842
01:37:39.319 --> 01:37:39.760
be able to.

1843
01:37:40.399 --> 01:37:42.960
It's going to know pretty quickly what it can't do,

1844
01:37:43.960 --> 01:37:46.760
like a mile three, what can it not do that?

1845
01:37:46.840 --> 01:37:49.920
A model four Hardware four, which is I think three

1846
01:37:49.960 --> 01:37:52.680
times more compute on it, right, and can run a

1847
01:37:52.720 --> 01:37:57.880
bigger parameter, large language model and have more accuracy. Right, Okay,

1848
01:37:57.920 --> 01:38:03.399
it could be smoother, right, it could be more luxury,

1849
01:38:01.880 --> 01:38:07.840
more more refined of an experience. It's more human like, right,

1850
01:38:08.720 --> 01:38:11.720
That's what the bigger model gets you. In writing too,

1851
01:38:11.760 --> 01:38:14.239
write if you use chat GPT, the big model, you

1852
01:38:14.239 --> 01:38:15.960
get a better answer than if you use the small

1853
01:38:16.000 --> 01:38:16.880
Mall right.

1854
01:38:16.760 --> 01:38:19.800
Well, and we still don't have AI in the car yet, right.

1855
01:38:19.880 --> 01:38:22.880
Not like that, right, but you know that's coming as well,

1856
01:38:23.520 --> 01:38:25.399
that you need a large language model in the car

1857
01:38:25.479 --> 01:38:28.079
with like a Grock in the car that you can

1858
01:38:28.119 --> 01:38:30.279
talk to, Hey, Grock, where's the cool nightclub to go

1859
01:38:30.359 --> 01:38:34.079
to tonight in Las Vegas. We're going to Vegas tonight, right, Yeah.

1860
01:38:33.920 --> 01:38:36.239
Because a small thing like like I was on an

1861
01:38:36.279 --> 01:38:39.359
eight hour drive with my Model three last night, and

1862
01:38:39.479 --> 01:38:42.840
even a small thing like asking it to stop at

1863
01:38:42.840 --> 01:38:45.399
a gas station or to find a bathroom or something

1864
01:38:45.479 --> 01:38:48.279
like that, it didn't quite know how to handle that question.

1865
01:38:48.840 --> 01:38:51.479
And it has the data, by the way, certainly by

1866
01:38:52.399 --> 01:38:55.880
if you look at superchargers, right, it tells you to

1867
01:38:55.880 --> 01:38:59.560
stop at Harris Ranch supercharger, and I did. It's right there.

1868
01:39:00.039 --> 01:39:04.039
If there's a bathroom nearby, or a restaurant or a hotel, right,

1869
01:39:04.079 --> 01:39:07.600
So it knows it has that in the database. It's

1870
01:39:07.640 --> 01:39:08.840
just not hooked up.

1871
01:39:09.319 --> 01:39:12.079
And eventually I can see the car learning about my

1872
01:39:12.319 --> 01:39:15.119
patterns around things like that and prompting me do you

1873
01:39:15.159 --> 01:39:18.439
want to pull over or something like that. Are you

1874
01:39:18.479 --> 01:39:20.960
needing to stop or you I mean, I can see

1875
01:39:21.000 --> 01:39:23.680
it kind of beginning to go at a deeper level

1876
01:39:23.720 --> 01:39:27.199
of managing the process of going on a long drive.

1877
01:39:27.439 --> 01:39:30.399
Right back to trust, what if you ask Rock take

1878
01:39:30.399 --> 01:39:31.960
me to an in and out well, there's three in

1879
01:39:32.000 --> 01:39:35.199
and outs near me, it knows it could know the

1880
01:39:35.239 --> 01:39:39.039
line length at each in and out. Right, there's tesla's

1881
01:39:39.079 --> 01:39:41.119
in line, it knows how long in the line is.

1882
01:39:41.159 --> 01:39:43.199
It has video of that, and it could count all

1883
01:39:43.199 --> 01:39:46.960
the cars in line. Right, and certainly as soon as

1884
01:39:46.960 --> 01:39:49.359
the Tesla goes through the drive through, it knows how

1885
01:39:49.359 --> 01:39:51.239
long it was in the drive through. So it knows

1886
01:39:51.279 --> 01:39:54.720
the average wait time at that specific drive through. So

1887
01:39:54.840 --> 01:39:57.720
your car could know, oh, this one it has a

1888
01:39:57.760 --> 01:40:01.960
short line, let's take you there. That's trust because maybe

1889
01:40:01.960 --> 01:40:05.039
you don't like that, right, but you're being driven there

1890
01:40:05.079 --> 01:40:07.520
because it has a short line. And you have to

1891
01:40:07.560 --> 01:40:09.800
trust that the computer made the right choice for you.

1892
01:40:10.039 --> 01:40:12.960
And that's a lot of trust to give a piece

1893
01:40:12.960 --> 01:40:14.039
of melted sands.

1894
01:40:15.760 --> 01:40:18.520
It's going to have to be proven that it delivers

1895
01:40:18.560 --> 01:40:22.319
on the promise of the future. Right, and it takes

1896
01:40:22.359 --> 01:40:22.600
me the.

1897
01:40:22.560 --> 01:40:24.039
Right in and out right, If it takes you to

1898
01:40:24.119 --> 01:40:26.319
close it in and out, you're not going to trust it, right,

1899
01:40:27.279 --> 01:40:29.239
You're going to go this is stupid. It took me

1900
01:40:29.279 --> 01:40:31.920
in a bad place. It didn't give me the right thing, right,

1901
01:40:32.199 --> 01:40:34.640
and you lower your trust, and so now you don't

1902
01:40:34.680 --> 01:40:37.279
believe it the next time you ask for in and

1903
01:40:37.279 --> 01:40:40.199
out right. But I have a feeling it's going to

1904
01:40:40.239 --> 01:40:43.880
be way better than any of us, and therefore we're

1905
01:40:43.920 --> 01:40:46.720
going to learn to trust. I already trusted. When it

1906
01:40:46.760 --> 01:40:49.399
takes me off the freeway, It's like, why are you

1907
01:40:49.439 --> 01:40:51.800
taking me out the freeway? Well, I see it. There's

1908
01:40:51.800 --> 01:40:54.279
a bunch of traffic on the freeway. Oh that's you

1909
01:40:54.399 --> 01:40:56.479
took me out the freeway to take me around all

1910
01:40:56.520 --> 01:40:57.800
the traffic. Oh that's smart.

1911
01:40:59.279 --> 01:41:00.640
Does that already? I think it does that.

1912
01:41:01.039 --> 01:41:04.279
It does. One day, I was picking the kids up

1913
01:41:04.319 --> 01:41:06.359
and it took me off by normal pick the kids

1914
01:41:06.439 --> 01:41:09.520
up from school route it's usually the same streets. Took

1915
01:41:09.560 --> 01:41:12.119
me on a different street. I'm like, well, in fact,

1916
01:41:12.119 --> 01:41:15.319
I overwrote it because I didn't trust it. I overrote

1917
01:41:15.319 --> 01:41:16.920
it because I was like, no, it takes me into

1918
01:41:17.000 --> 01:41:19.239
my usual route. It turned out there was a bunch

1919
01:41:19.239 --> 01:41:23.039
of cops closed the road. It knew about that, and

1920
01:41:23.079 --> 01:41:24.560
it was trying to wrout me around it.

1921
01:41:25.119 --> 01:41:25.680
Yeah, I've had to.

1922
01:41:26.479 --> 01:41:29.640
After a few of those kinds of situations, you learn,

1923
01:41:30.000 --> 01:41:32.199
Oh no, we better go with what the computers saying.

1924
01:41:32.640 --> 01:41:35.239
A computer is better than us. It has more data

1925
01:41:35.600 --> 01:41:36.560
about what's going on.

1926
01:41:36.840 --> 01:41:38.800
Yeah, it does get back to that to some degree.

1927
01:41:38.840 --> 01:41:43.039
I can totally sympathize what that thought because of the

1928
01:41:43.159 --> 01:41:46.359
navigational routes that it takes. I mean, sometimes the car

1929
01:41:46.479 --> 01:41:49.439
takes off and goes on a route that I wouldn't

1930
01:41:49.479 --> 01:41:52.600
even have thought to do, and I just have to

1931
01:41:52.640 --> 01:41:54.720
sit back and trust it and say, well, maybe this

1932
01:41:54.800 --> 01:41:57.319
is a faster route that it was able to detect

1933
01:41:57.359 --> 01:41:59.680
that I would have no idea. It would be a

1934
01:41:59.680 --> 01:42:02.159
possile stability right on the side streets or something like that.

1935
01:42:02.159 --> 01:42:04.239
I can just imagine trying to drive through La or

1936
01:42:04.279 --> 01:42:06.680
something like that. It would know all the backstreets to

1937
01:42:06.760 --> 01:42:08.720
avoid the main freeway. Right.

1938
01:42:08.760 --> 01:42:11.640
So that's one thing I want Grok to do. Hey, Grek,

1939
01:42:11.680 --> 01:42:14.760
take me the seating route, or take me the fastest route,

1940
01:42:14.880 --> 01:42:16.880
or take me the smoothest route, or take me the

1941
01:42:17.000 --> 01:42:19.760
cheapest route, or take me the safest route.

1942
01:42:19.960 --> 01:42:20.279
Right.

1943
01:42:20.479 --> 01:42:22.640
My friend who runs an insurance company has a map

1944
01:42:22.680 --> 01:42:25.399
of every street in America how safe the street is.

1945
01:42:25.920 --> 01:42:28.880
I didn't know that until I had a friend who

1946
01:42:28.920 --> 01:42:31.279
worked in an insurance business. But every street is different

1947
01:42:31.319 --> 01:42:35.159
safety rating. It has a different accident level, a different

1948
01:42:35.279 --> 01:42:38.000
consequence for driving down the street, and so it could

1949
01:42:38.000 --> 01:42:41.560
take you the safe route. Right. It knows which route

1950
01:42:41.600 --> 01:42:45.199
is the safest, it just doesn't present that yet, right,

1951
01:42:45.239 --> 01:42:48.279
But an LM could go through all the various routes

1952
01:42:48.680 --> 01:42:50.279
and bring them to you.

1953
01:42:50.840 --> 01:42:54.319
Well, they could probably map all of the in the

1954
01:42:54.359 --> 01:42:59.000
training day. It could map all the locations of fatal accidents, yeah,

1955
01:42:59.399 --> 01:43:01.800
or something like that out and put a weighted factor

1956
01:43:01.840 --> 01:43:05.159
into that route and its risk factor. Now, granted, the

1957
01:43:05.199 --> 01:43:08.640
amount of crashes in autonomous vehicles like a Tesla are

1958
01:43:08.760 --> 01:43:13.600
dramatically lower than human driven cars already, right, So I'm

1959
01:43:14.560 --> 01:43:16.439
I kind of wonder about that to some degree. It's

1960
01:43:16.479 --> 01:43:19.199
like the insurance companies are not factoring in whether or

1961
01:43:19.239 --> 01:43:22.239
not a Tesla has full self driving in it. And

1962
01:43:22.239 --> 01:43:24.439
I'm a little torn whether or not I want to

1963
01:43:24.439 --> 01:43:27.319
tell my insurance company that I'm using it at this point.

1964
01:43:27.399 --> 01:43:30.039
But at some point I would think that would be

1965
01:43:31.000 --> 01:43:33.479
a pathway to hit lower insurance rates.

1966
01:43:33.600 --> 01:43:38.319
All right, So a human and autonomous car might start

1967
01:43:38.359 --> 01:43:42.920
at the same safety rating, right, and safety rating is

1968
01:43:43.000 --> 01:43:46.239
does your car hit somebody else? Because that's when an

1969
01:43:46.279 --> 01:43:49.600
insurance claim comes to you, Right, If somebody hits you

1970
01:43:49.680 --> 01:43:53.600
from the back, they're paying, so it causes you problems,

1971
01:43:53.680 --> 01:43:56.520
so you don't want to have that happen. But that

1972
01:43:56.560 --> 01:44:00.960
person's paying, not your insurance company. And so over time,

1973
01:44:01.319 --> 01:44:03.760
the accent rate in an autonomous car is going to

1974
01:44:03.840 --> 01:44:06.039
keep going down. The human car is going to stay

1975
01:44:06.039 --> 01:44:08.079
the same or even go up. The humans are actually

1976
01:44:08.119 --> 01:44:13.159
getting worse at driving because, yeah, because we're all staring

1977
01:44:13.199 --> 01:44:15.600
at our cell phone boom, we hit somebody in front

1978
01:44:15.600 --> 01:44:19.039
of out shit, right, and an autonomous car won't do that.

1979
01:44:19.319 --> 01:44:21.239
My car never hits somebody in front of it.

1980
01:44:21.560 --> 01:44:21.680
Right.

1981
01:44:21.720 --> 01:44:23.760
If somebody slams on its breaks in front of me,

1982
01:44:23.840 --> 01:44:26.159
I'm slimming. My car slams on its breaks and then

1983
01:44:26.199 --> 01:44:29.000
stops in time, not a problem. The person behind me,

1984
01:44:29.039 --> 01:44:32.560
who's on their phone may not be in the slams

1985
01:44:32.560 --> 01:44:36.560
into me, but they're paying the insurance, right, So the

1986
01:44:36.880 --> 01:44:40.359
autonomous car, the insurance rate keeps going down over time,

1987
01:44:41.119 --> 01:44:44.520
the wholesale cost of the insurance keeps going down over time.

1988
01:44:44.840 --> 01:44:47.520
So if the price stays the same as a human

1989
01:44:47.680 --> 01:44:51.319
insurance company, then the profit is going to increase overtime.

1990
01:44:51.760 --> 01:44:54.840
But if they reduce the price, then the price will

1991
01:44:54.880 --> 01:44:57.520
go down over time. And I would assume an insurance

1992
01:44:57.520 --> 01:45:00.000
company is going to reduce the price because they're competitive

1993
01:45:00.159 --> 01:45:02.840
and they want Hey, Test owners come and sign up

1994
01:45:02.880 --> 01:45:05.800
on us, or Test was going to do its own insurance,

1995
01:45:05.840 --> 01:45:06.520
which it is.

1996
01:45:06.720 --> 01:45:08.760
Right, Yeah, yeah, it's always doing.

1997
01:45:08.840 --> 01:45:11.520
Ymon knows this. He knows that if I charge somebody

1998
01:45:11.600 --> 01:45:14.880
one hundred dollars a month for insurance right now and

1999
01:45:14.920 --> 01:45:17.760
they're using full self driving twenty percent of the time

2000
01:45:18.239 --> 01:45:21.800
or better, as they increase their use of full self

2001
01:45:21.920 --> 01:45:25.520
driving because it's getting better, Right, next year they'll use

2002
01:45:25.560 --> 01:45:27.960
it forty percent, and the year after that they'll use

2003
01:45:28.000 --> 01:45:30.840
it eighty percent. Right, because it's going to get really

2004
01:45:31.399 --> 01:45:34.399
much better over the next two years. So the insurance

2005
01:45:34.479 --> 01:45:36.760
rates are going to come down for like an for

2006
01:45:36.880 --> 01:45:39.960
a Tesla, and they could reduce the price and really

2007
01:45:40.079 --> 01:45:43.720
ebys rate the rest of the insurance industry because the

2008
01:45:43.760 --> 01:45:48.560
rest of the insurance industry has to support guest cars cars.

2009
01:45:48.800 --> 01:45:51.479
Yeah, and Elon has been saying for years that this

2010
01:45:51.600 --> 01:45:55.199
robotic technology, the autonomous stuff, is going to change the economy.

2011
01:45:55.239 --> 01:45:58.279
It's going to make a but the cost of labor

2012
01:45:58.479 --> 01:46:00.600
basically almost go to zero. And I think to some

2013
01:46:00.720 --> 01:46:02.680
degree that's a reflection of what you're saying there.

2014
01:46:02.720 --> 01:46:06.399
Is that not zero, but a lot less, right because

2015
01:46:07.439 --> 01:46:09.680
my Tesla City in the garage right now, it costs

2016
01:46:09.720 --> 01:46:13.399
about two dollars an hour for financing and everything, and

2017
01:46:13.399 --> 01:46:16.239
well you put a human in it, that goes up

2018
01:46:16.239 --> 01:46:20.119
to twenty dollars an hour, right, right. And so eventually

2019
01:46:20.239 --> 01:46:22.439
autonomous car is going to be able to beat a

2020
01:46:22.520 --> 01:46:26.319
newber style like human driven uber style car by a

2021
01:46:26.359 --> 01:46:30.560
lot and have a better experience because the autonomous car

2022
01:46:30.640 --> 01:46:32.560
is going to be consistent and it's not going to

2023
01:46:32.640 --> 01:46:34.560
talk too much. It's never going to be drunk or

2024
01:46:34.720 --> 01:46:36.960
a stone or anything like that, or never going to

2025
01:46:36.960 --> 01:46:40.079
be tired because it worked all night long, right, And

2026
01:46:40.319 --> 01:46:43.199
it's not going to smell because humans smell once in

2027
01:46:43.199 --> 01:46:45.680
a while. Right. It's a better experience, it's a more

2028
01:46:45.720 --> 01:46:49.520
consistent experience, it's a safer experience, right. So autonomous cars

2029
01:46:49.560 --> 01:46:51.640
have a lot of advantages there, and they're going to

2030
01:46:51.680 --> 01:46:52.479
be cheaper some day.

2031
01:46:52.560 --> 01:46:55.159
Yeah. So I also heard some speculation that the new

2032
01:46:55.239 --> 01:46:57.520
robo taxi that's going to be announced here in a

2033
01:46:57.520 --> 01:47:01.359
month or two is going to have an automatic inside

2034
01:47:01.439 --> 01:47:05.880
cleaning capability. Because if you're going to be in a robotaxi, right,

2035
01:47:06.079 --> 01:47:09.439
there's going to be sanitization that needs to happen in

2036
01:47:09.439 --> 01:47:13.279
the vehicle right between writers. So it's it's an interesting

2037
01:47:13.520 --> 01:47:15.800
aspect of it too. And that also like it.

2038
01:47:15.840 --> 01:47:18.880
Built in a little boat a vacuum robot, and I'll

2039
01:47:18.920 --> 01:47:21.600
just go through it and clean up everything and then

2040
01:47:21.760 --> 01:47:24.079
validate it and go, Okay, this one's ready to go.

2041
01:47:24.119 --> 01:47:25.039
There's nothing wrong with.

2042
01:47:25.039 --> 01:47:27.800
It, right, Or have it come up through the seats

2043
01:47:27.880 --> 01:47:30.159
or something like that and then it quick drives or

2044
01:47:30.199 --> 01:47:33.479
something like that to sanitize what they do there.

2045
01:47:33.560 --> 01:47:36.560
Yeah, yeah, now that that makes sense. I have a

2046
01:47:36.600 --> 01:47:40.239
self driving self cleaning or self validation. Right. Oh, this

2047
01:47:40.359 --> 01:47:44.279
one's clean enough and there's nothing wrong. There's nobody cut

2048
01:47:44.279 --> 01:47:46.600
the seats with a knife or anything like that, right,

2049
01:47:46.760 --> 01:47:48.960
or barfed in the car and left the mass.

2050
01:47:49.239 --> 01:47:52.279
Well that's always the risk, right because people that maybe

2051
01:47:52.359 --> 01:47:55.840
drink too much are more likely to take a take

2052
01:47:55.840 --> 01:47:57.640
a taxi or an uber taxi.

2053
01:47:57.640 --> 01:48:00.239
Or you have kids, they get car sack. Right. I've

2054
01:48:00.239 --> 01:48:05.399
had car kids barfing my Tesla. By the way, they

2055
01:48:05.399 --> 01:48:08.079
clean up pretty good, even the white seats. People is like,

2056
01:48:08.159 --> 01:48:10.439
oh yeah, the white seats they wipe up real good.

2057
01:48:10.840 --> 01:48:13.199
Yeah, So it's gonna have to be some sort of

2058
01:48:13.239 --> 01:48:15.840
automation on that, because I mean it's like you're going

2059
01:48:15.920 --> 01:48:17.920
to take it to a detail shop after every.

2060
01:48:17.760 --> 01:48:20.399
Ride, No, and it needs to validate.

2061
01:48:20.560 --> 01:48:24.479
And then the concern about viruses or something sharing and

2062
01:48:24.520 --> 01:48:26.880
things like that, I'm sure there's sensitivity to that too.

2063
01:48:27.039 --> 01:48:30.600
Right, there shouldn't be too much of a viral problem

2064
01:48:30.680 --> 01:48:33.880
as long as there's a few minutes between riders. Right,

2065
01:48:33.960 --> 01:48:36.800
somebody sneezed on the steering well, you shouldn't be touching

2066
01:48:36.800 --> 01:48:41.880
a steering wheel. Why are you touching anything? Do they

2067
01:48:41.960 --> 01:48:44.600
leave a cloud of virus in your cabin? Well that

2068
01:48:44.640 --> 01:48:49.159
gets cleaned out in a few seconds, right, So yeah,

2069
01:48:49.199 --> 01:48:51.880
so it's a new world. But you're right about the

2070
01:48:52.520 --> 01:48:56.239
autonomous cleaning. I think that's a big part of doing

2071
01:48:56.279 --> 01:49:00.479
it right because the system has to validate that car

2072
01:49:00.600 --> 01:49:02.960
is good to go and good to go back into

2073
01:49:03.039 --> 01:49:06.560
the fleet and pick somebody up, because it needs to

2074
01:49:06.600 --> 01:49:10.680
be consistent. Consistency builds brands. I talked to Sebastian Thrun

2075
01:49:10.680 --> 01:49:14.279
who runs Weyma, who ran Weymo started Weimo, started Google's

2076
01:49:14.479 --> 01:49:19.279
autonomous car industry company, and he was like, we've talked

2077
01:49:19.319 --> 01:49:23.000
about what makes a great brand, like Starbucks. Why is

2078
01:49:23.039 --> 01:49:26.960
Starbucks so good? Starbucks is actually shitty coffee. It's not

2079
01:49:27.039 --> 01:49:31.159
the coffee that sells it. It's the consistency. Because humans

2080
01:49:31.199 --> 01:49:34.359
can get used to shitty I'm drinking some Starbucks right now, right,

2081
01:49:35.640 --> 01:49:38.600
it's shitty coffee, but I got addicted to it because

2082
01:49:39.159 --> 01:49:42.239
human mind. I learned this. Human mind can get used

2083
01:49:42.239 --> 01:49:45.520
to shitty things, right, and actually starts liking it. Because

2084
01:49:45.560 --> 01:49:47.600
every morning you get the same shitty coffee, you get

2085
01:49:47.680 --> 01:49:50.239
used to it, you get you get the caffeine out

2086
01:49:50.279 --> 01:49:54.520
of it and whatever else you put in it. The Starbucks.

2087
01:49:54.520 --> 01:49:58.840
What makes Starbucks really special is the consistency. You get

2088
01:49:58.880 --> 01:50:02.000
the same latte in London and Japan where you go

2089
01:50:02.399 --> 01:50:05.960
the battle, right, it's exactly the same. Experience is exactly

2090
01:50:05.960 --> 01:50:09.199
the same. And ubiquity. There's three of them in one

2091
01:50:09.279 --> 01:50:12.359
mall in Yokama, Japan, right, so you're in the mall.

2092
01:50:12.399 --> 01:50:14.119
You don't even have to walk very far to get

2093
01:50:14.159 --> 01:50:16.159
your Starbucks. It's like, where are you in the mall?

2094
01:50:16.199 --> 01:50:21.159
There's three of them, It's like, right, and so uber

2095
01:50:21.319 --> 01:50:25.560
has ubiquity, but they don't have consistency.

2096
01:50:25.399 --> 01:50:28.680
Right, Oh, it is wildly inconsistent, right.

2097
01:50:28.640 --> 01:50:31.960
Right, because the car is inconsistent. Sometimes it's a new

2098
01:50:32.159 --> 01:50:34.720
Mercedes Benz that picks you up. Sometimes it's a shitty

2099
01:50:34.720 --> 01:50:38.239
old beat up Toyota. Right, yeah right, I.

2100
01:50:38.319 --> 01:50:41.439
Got any shit beat up cars before, right.

2101
01:50:41.359 --> 01:50:44.119
Yeah right? And so as Tesla, you know what you're

2102
01:50:44.159 --> 01:50:46.479
gonna get. Even if it's beat up, it's a Tesla.

2103
01:50:47.479 --> 01:50:50.720
It's safe, and it's fairly fun to be in, right

2104
01:50:51.239 --> 01:50:54.000
because the batteries are underneath you, and it's fairly good

2105
01:50:54.000 --> 01:50:56.680
at driving around. It's actually a really great car to drive.

2106
01:50:57.199 --> 01:51:00.000
And two, if you get rid of the humans, then

2107
01:51:00.039 --> 01:51:02.880
consistency you get rid of the humans. Now you have

2108
01:51:02.920 --> 01:51:06.000
a much more consistent service that's going to make the

2109
01:51:06.079 --> 01:51:10.880
brand resonance around such surface go up. Right. And so

2110
01:51:11.560 --> 01:51:13.680
in ten years, when you get into Vegas and you

2111
01:51:13.720 --> 01:51:15.960
need a ride to take you to the hotel or

2112
01:51:16.039 --> 01:51:18.560
to the convention center or something like that, which one

2113
01:51:18.560 --> 01:51:20.920
do you choose to use? Do you order a Waimo

2114
01:51:21.199 --> 01:51:24.840
or a Zeus or a GM Cruise which is zuber,

2115
01:51:25.439 --> 01:51:28.680
or do you get a Tesla. Yeah, Well, the Tesla

2116
01:51:28.720 --> 01:51:32.199
has a better experience inside, so I know how this

2117
01:51:32.279 --> 01:51:36.039
game is going to go down. And the Tesla is

2118
01:51:36.079 --> 01:51:38.720
built with less technology. So it's cheaper.

2119
01:51:39.359 --> 01:51:43.000
Yeah. Well, I think that's the key advantage, that the

2120
01:51:43.039 --> 01:51:48.159
ability to make things that are reliable or mostly reliable.

2121
01:51:47.800 --> 01:51:52.359
Right and for cheaper right. Light ours costs a bunch

2122
01:51:52.359 --> 01:51:54.319
of more money. And then you have to have two

2123
01:51:54.359 --> 01:51:57.560
computers to process lighter and camera because like the Weimo

2124
01:51:57.680 --> 01:52:01.720
camera car has like nineteen cameras on it, the test

2125
01:52:01.800 --> 01:52:04.520
only has nine and it has a whole bunch of

2126
01:52:04.600 --> 01:52:06.359
light ours, which.

2127
01:52:07.560 --> 01:52:09.680
Wor's the ninth camera on the Tesla? Is that a

2128
01:52:09.720 --> 01:52:10.479
new addition to.

2129
01:52:10.680 --> 01:52:14.079
The there's three four, three in the front wind shale,

2130
01:52:14.119 --> 01:52:17.479
there's two more and that's five. There's two more and

2131
01:52:17.520 --> 01:52:20.199
that's six, seven, and there's one in the back that's eight,

2132
01:52:20.319 --> 01:52:21.880
and there's one inside that's nine.

2133
01:52:22.239 --> 01:52:25.439
Oh okay, got it. Yeah, I think I forgot to

2134
01:52:25.560 --> 01:52:27.560
mention the one that's in the roar view mirror.

2135
01:52:27.960 --> 01:52:33.000
Yeah. Always machines watching you. Yeah, you know how many

2136
01:52:33.000 --> 01:52:34.600
times you pick your nose, you know.

2137
01:52:36.960 --> 01:52:38.439
And it's not always able.

2138
01:52:38.199 --> 01:52:40.800
To don't do anything like that, but it could.

2139
01:52:41.279 --> 01:52:43.800
Yeah. I was driving in the dark last night and

2140
01:52:43.880 --> 01:52:46.399
occasionally I could tell that it couldn't really see my

2141
01:52:46.439 --> 01:52:51.199
eyes because of the light in the cabin. Wasn't that bright,

2142
01:52:51.319 --> 01:52:54.560
so so it was flashing. Oh no, no, it was

2143
01:52:54.600 --> 01:52:57.399
flashing on the screen and I'm like going, I'm shaking

2144
01:52:57.399 --> 01:52:59.720
the steirring wheel and adjusting the speed and stuff, and

2145
01:52:59.760 --> 01:53:04.119
it was recognizing, So it was definitely prioritizing its vision

2146
01:53:04.239 --> 01:53:06.119
over even touching the string wheel.

2147
01:53:06.279 --> 01:53:10.479
So right now, for the next year, so it's going

2148
01:53:10.560 --> 01:53:14.520
to be in a dangerous state where it's making a

2149
01:53:14.520 --> 01:53:18.119
lot less mistakes than it used to, and therefore humans

2150
01:53:18.119 --> 01:53:21.000
are going to change their behavior of using the vehicle

2151
01:53:21.039 --> 01:53:23.479
and start sleeping in the vehicle or looking at their

2152
01:53:23.520 --> 01:53:26.079
phone more often or something like that. Right, and then

2153
01:53:26.079 --> 01:53:29.199
it makes a stupid ask mistake and kills you. And

2154
01:53:29.239 --> 01:53:32.079
that's the problem. So they need the humans still to

2155
01:53:32.159 --> 01:53:38.640
be supervising the machine right to keep the safety rating up. Eventually,

2156
01:53:38.880 --> 01:53:41.560
eighteen months thirty six months from now, it's going to

2157
01:53:41.640 --> 01:53:43.640
be so good it's never going to kill you. So

2158
01:53:43.800 --> 01:53:45.800
that's when they can turn off all the nags.

2159
01:53:46.039 --> 01:53:50.399
But yeah, it's the few years away unsupervised, not the

2160
01:53:50.439 --> 01:53:53.199
current supervised as well. Yeah, is what it's going to

2161
01:53:53.239 --> 01:53:55.680
take probably for the I would think for them human.

2162
01:53:56.840 --> 01:54:01.479
Drive around without a human in its already humanless in

2163
01:54:01.520 --> 01:54:05.640
San Francisco, right, no human needed. That's pretty cool.

2164
01:54:06.399 --> 01:54:09.920
Yeah, but it also is a limited capable area that

2165
01:54:09.960 --> 01:54:11.359
it can operate in too.

2166
01:54:11.319 --> 01:54:14.279
Right, Yeah, but actually talking to them, they say, no,

2167
01:54:14.479 --> 01:54:18.520
that's just it's temporary. They tell me it's temporary. They

2168
01:54:18.560 --> 01:54:21.119
can drive everywhere in America, they just choose not to

2169
01:54:21.279 --> 01:54:23.800
because they don't have the fleet to support that, or

2170
01:54:23.840 --> 01:54:28.640
the business model or the bards or any of that stuff. Right,

2171
01:54:28.720 --> 01:54:31.840
So they're starting in just a few cities like Phoenix

2172
01:54:31.880 --> 01:54:34.760
and San Francisco getting it good. Then they're going to

2173
01:54:34.800 --> 01:54:38.119
grow it to more cities. How many years before it

2174
01:54:38.239 --> 01:54:40.960
has half of all of American cities? I think there's

2175
01:54:41.000 --> 01:54:43.680
three hundred cities with one hundred thousand people or more

2176
01:54:43.760 --> 01:54:47.560
in America. How long will it take to get half

2177
01:54:47.600 --> 01:54:49.840
of those? And then how long will it take to

2178
01:54:49.840 --> 01:54:52.560
get all of those? Yeah? Not many years.

2179
01:54:53.199 --> 01:54:55.520
So Robert kind of the last topic here, and we

2180
01:54:55.560 --> 01:54:58.520
will call this episode a rep but I wanted to

2181
01:54:58.520 --> 01:55:01.399
ask you what do you think think the skills are

2182
01:55:01.640 --> 01:55:06.600
the humans need to gain right now to prepare for

2183
01:55:06.680 --> 01:55:09.760
this shift? I mean, are we is it trying to

2184
01:55:09.800 --> 01:55:13.359
adopt this technology? Like you have to learn about it

2185
01:55:13.399 --> 01:55:16.840
so you're not getting behind? Is that the key or

2186
01:55:17.199 --> 01:55:19.600
I mean, what kind of skills do you think people need?

2187
01:55:19.720 --> 01:55:23.359
Right now, that's when, first of all, understand what it

2188
01:55:23.399 --> 01:55:25.680
does for you and what it doesn't do for you,

2189
01:55:26.000 --> 01:55:31.359
and how that's changing. Because AI today that doesn't do

2190
01:55:31.479 --> 01:55:33.359
what you want it to. Right, If you're asking for

2191
01:55:33.399 --> 01:55:35.239
a business plan or something, and maybe it doesn't do

2192
01:55:35.279 --> 01:55:37.119
a good job today, is that going to be true

2193
01:55:37.159 --> 01:55:38.840
in a year? Is it going to be true in

2194
01:55:38.840 --> 01:55:40.720
two years? Is it going to be true in three years?

2195
01:55:40.880 --> 01:55:43.079
In three years, now, it's going to be really good.

2196
01:55:43.560 --> 01:55:46.439
So you have to get involved earlier. The earlier you

2197
01:55:46.640 --> 01:55:50.479
get involved, the more you'll understand how to control the machine,

2198
01:55:50.960 --> 01:55:52.359
how to talk to it, how to get it to

2199
01:55:52.399 --> 01:55:57.439
do things right. And you'll also have a much better

2200
01:55:57.520 --> 01:56:01.319
idea that your job's going away if it is right.

2201
01:56:01.479 --> 01:56:05.560
Because if you're watching the fifty four hundred AI companies

2202
01:56:05.560 --> 01:56:07.600
that I have on X, you can see it coming.

2203
01:56:07.720 --> 01:56:10.520
You can go through them all. Oh, that company could

2204
01:56:10.520 --> 01:56:13.239
do away with my job or that company could right,

2205
01:56:13.880 --> 01:56:17.800
and so understanding that it's important. The last one to

2206
01:56:17.520 --> 01:56:20.600
get fired is a person who knows how to use AI,

2207
01:56:20.640 --> 01:56:23.680
because they're going to be more productive. Right If you're

2208
01:56:23.720 --> 01:56:26.520
a programmer, and you're using AI or twice as productive

2209
01:56:26.560 --> 01:56:30.359
as a human who doesn't use AI already today. So

2210
01:56:30.600 --> 01:56:33.840
if you're not using AI as a programmer, you're an idiot. Yeah,

2211
01:56:34.239 --> 01:56:37.359
you're going to get fired. There's also have a job,

2212
01:56:37.399 --> 01:56:39.399
You're going to be the first to get fired because

2213
01:56:39.439 --> 01:56:41.279
all the rest of the team is using AI. They're

2214
01:56:41.279 --> 01:56:42.800
twice as productive as you are.

2215
01:56:43.439 --> 01:56:45.920
Well that and also is it even secure with that?

2216
01:56:46.479 --> 01:56:48.159
Isn't AI going to be able to write code?

2217
01:56:48.560 --> 01:56:50.960
Oh? Does? It does? But right now you need a

2218
01:56:51.039 --> 01:56:53.319
human to tell the thing. But to right, I need

2219
01:56:53.319 --> 01:56:55.760
a totally or whatever right.

2220
01:56:55.760 --> 01:56:58.119
Prompt it right to be able to Yeah, you need

2221
01:56:58.159 --> 01:57:00.279
to tell what you need to create it to right

2222
01:57:00.720 --> 01:57:02.439
it bullshits once a while, you've got to.

2223
01:57:03.239 --> 01:57:05.479
If you're a computer scientist, you know how to fix it.

2224
01:57:05.600 --> 01:57:08.039
But the people who are using it at an advanced

2225
01:57:08.119 --> 01:57:10.600
level are way ahead of the other programmers who aren't

2226
01:57:10.680 --> 01:57:11.479
using it yet.

2227
01:57:11.640 --> 01:57:14.279
Right, And I think a good example of even AI

2228
01:57:14.479 --> 01:57:20.319
makes mistakes is chat GPT four Omni is creating images.

2229
01:57:20.720 --> 01:57:24.520
It constantly makes typos in its images. So if you

2230
01:57:24.560 --> 01:57:28.159
wanted to output texts, and this is maybe an indication

2231
01:57:28.319 --> 01:57:31.359
that we're at a phase where it can't really create

2232
01:57:31.760 --> 01:57:35.199
error free code. Right, If you can't create error free

2233
01:57:35.239 --> 01:57:37.720
images with texts when it's an LLM.

2234
01:57:38.119 --> 01:57:40.520
Better, how many more months will it be before it

2235
01:57:40.600 --> 01:57:41.720
fixes the right?

2236
01:57:41.840 --> 01:57:43.880
And I've been waiting for like a year.

2237
01:57:44.039 --> 01:57:46.239
But there's a whole bunch of companies who are trying

2238
01:57:46.239 --> 01:57:50.279
to fix that problem. I just interviewed, Well you did yesterday. Yeah,

2239
01:57:50.319 --> 01:57:55.960
they're building a system for enterprises that learns iteratively and

2240
01:57:56.000 --> 01:58:00.239
refine tunes that the business model that you're building gets

2241
01:58:00.239 --> 01:58:03.680
better and better and reduces loucinations over time. Right.

2242
01:58:04.159 --> 01:58:07.199
Yeah. I've also seen these AI models battle with each

2243
01:58:07.239 --> 01:58:12.840
other too, Like, all create something in chat, GPT four

2244
01:58:12.920 --> 01:58:16.439
omni and I will run it through grammarly, which is

2245
01:58:16.479 --> 01:58:23.640
another AI engine, and it'll tear apart what I learned yesterday. Yeah.

2246
01:58:23.800 --> 01:58:26.399
That okay. So there's one technique. You can spit an

2247
01:58:26.439 --> 01:58:29.439
answer out of a large language model like chat GPT

2248
01:58:29.720 --> 01:58:32.159
four to oh right, and then bring it back into

2249
01:58:32.239 --> 01:58:34.640
the model and have it rate itself, have it rate

2250
01:58:34.680 --> 01:58:37.279
its own answer for accuracy and stuff like that, and

2251
01:58:37.319 --> 01:58:39.479
it actually does a pretty good job. But if you

2252
01:58:39.560 --> 01:58:42.039
give the same answer to it, let's say LAMA for

2253
01:58:42.119 --> 01:58:46.359
meta corporation a different large language model much more accurate.

2254
01:58:47.399 --> 01:58:51.119
Yeah. And I talked to a grammar expert on on

2255
01:58:51.359 --> 01:58:54.800
my podcast tip show that I Do, and I told

2256
01:58:54.880 --> 01:58:59.880
her about this battle between chat GPT writing and Grammarly

2257
01:59:00.520 --> 01:59:04.039
and she told me that she prefers chat GPT's writing

2258
01:59:04.119 --> 01:59:08.600
is more grammar grammars accurate than Grammarly. I thought was

2259
01:59:08.640 --> 01:59:10.680
interesting feedback on those models.

2260
01:59:11.119 --> 01:59:14.119
The large language model that open Ai has more parameters

2261
01:59:14.159 --> 01:59:16.680
than the grammarly model, right, and it has a lot

2262
01:59:16.720 --> 01:59:20.000
more engineering behind it because they got ten billion dollars

2263
01:59:20.000 --> 01:59:22.600
and they have a lot of N video cards. It's

2264
01:59:22.600 --> 01:59:25.560
an if you want to know who has the best models,

2265
01:59:25.600 --> 01:59:27.720
look at who has the N video cards, because they're

2266
01:59:27.760 --> 01:59:30.439
probably the ones that has the best models, right. I

2267
01:59:30.479 --> 01:59:34.399
mean Tesla's model, Xai's model A rock just got way

2268
01:59:34.399 --> 01:59:37.119
better in the last week. Why because he got in

2269
01:59:37.279 --> 01:59:39.720
new N video cards turned on and all of a sudden,

2270
01:59:39.760 --> 01:59:41.800
his models are getting better because he can give it

2271
01:59:41.840 --> 01:59:46.520
more data and she's faster, right, and better and train

2272
01:59:46.600 --> 01:59:48.640
it better because you have if you have one hundred

2273
01:59:48.640 --> 01:59:51.880
thousand video cards and you're using the same data set,

2274
01:59:51.960 --> 01:59:54.800
it can give you a better parameter model. It can

2275
01:59:55.479 --> 01:59:58.479
make a finer model, right, because it has more compute

2276
01:59:58.479 --> 02:00:00.760
to go through it more and more times to build

2277
02:00:00.760 --> 02:00:01.279
that model.

2278
02:00:01.479 --> 02:00:03.760
So, Robert, I know you're always looking at this stuff.

2279
02:00:03.800 --> 02:00:06.800
Is there anything that we haven't talked about that do

2280
02:00:06.880 --> 02:00:10.239
you think are revolutionary and what we can expect here.

2281
02:00:10.680 --> 02:00:13.720
I was just talking to a couple of investors, big investors,

2282
02:00:13.760 --> 02:00:16.279
and they're talking about the same kind of things. Virtual

2283
02:00:16.359 --> 02:00:19.399
beings are coming, and they're going to be pretty crazy

2284
02:00:20.000 --> 02:00:22.119
because once you've got a pair of glasses on, you

2285
02:00:22.159 --> 02:00:25.039
could have something that looks like a humanoid robot standing

2286
02:00:25.039 --> 02:00:28.039
next to you, but it's just all virtual, right ding,

2287
02:00:28.439 --> 02:00:30.319
and it can talk to you and interact with you.

2288
02:00:30.439 --> 02:00:33.239
High five you even right shoot it, right, And a

2289
02:00:33.319 --> 02:00:37.680
guy in a game, you know, your non playable characters

2290
02:00:37.720 --> 02:00:39.760
are going to get pretty smart pre standing. You're going

2291
02:00:39.840 --> 02:00:43.439
to have conversations with him before you shoot, and you're.

2292
02:00:43.319 --> 02:00:45.600
Going to look completely crazy because you're going to be

2293
02:00:45.640 --> 02:00:49.239
looking like this and talking to nobody, right, and then

2294
02:00:49.199 --> 02:00:49.760
you're gonna.

2295
02:00:49.720 --> 02:00:51.600
Shoot it in the head. But I don't like your hands,

2296
02:00:51.680 --> 02:00:52.960
I'm going to shoot you.

2297
02:00:53.279 --> 02:00:57.000
So we have all these people walking around in the

2298
02:00:57.039 --> 02:01:01.279
world talking to the virtual agents, so nobody else can see.

2299
02:01:01.439 --> 02:01:03.800
Wait, wait until there's a new kind of paintball game

2300
02:01:03.880 --> 02:01:06.760
or something in your neighborhood. You're wearing the glasses and

2301
02:01:07.119 --> 02:01:10.079
all sorts of mayhem is happening virtually out in the street.

2302
02:01:10.159 --> 02:01:12.239
You got to go and shoot some things and get

2303
02:01:12.279 --> 02:01:16.520
some exercise. Yeah, that's coming. The guy who started Mattia

2304
02:01:16.680 --> 02:01:19.279
showed me monsters on the sides of the skyscrapers like

2305
02:01:19.399 --> 02:01:22.000
thirteen years ago, and he got hired by Apple to

2306
02:01:22.039 --> 02:01:25.039
build the strategy for the Vision Pro. Right, so I

2307
02:01:25.159 --> 02:01:28.640
still don't have that. I'm still waiting for monsters, he

2308
02:01:28.800 --> 02:01:31.319
promised me. Monsters. I still don't have monsters on the

2309
02:01:31.319 --> 02:01:34.720
sides of skyscrapers. Really, So I was talking it's close

2310
02:01:34.800 --> 02:01:37.199
with the Vision Pro. It's close, but you know. Yeah.

2311
02:01:37.199 --> 02:01:39.119
So I was talking to a guy from Apple on

2312
02:01:39.159 --> 02:01:41.479
a trip to Washington, d C. This past week, and

2313
02:01:41.520 --> 02:01:44.319
he was telling me that there's big things coming from

2314
02:01:44.359 --> 02:01:47.520
Apple around AI. Yeah, is there any glimpse that you

2315
02:01:47.600 --> 02:01:48.319
can give us on.

2316
02:01:48.399 --> 02:01:52.479
Well, they have intelligence, all right, So I avenue system

2317
02:01:52.560 --> 02:01:56.960
a news series coming, whether it's really amazing or not.

2318
02:01:57.399 --> 02:02:01.640
Right now, nobody thinks it's really amazing. But there's a

2319
02:02:01.680 --> 02:02:05.159
new AI coming and He's right, they're spending a lot

2320
02:02:05.159 --> 02:02:06.800
of effort. I mean, I see one of the guys

2321
02:02:06.840 --> 02:02:12.039
right here who's building infrastructure at MLAX infrastructure for Apple,

2322
02:02:12.439 --> 02:02:16.279
and they're doing a pretty interesting set of things. The

2323
02:02:17.000 --> 02:02:19.520
other thing like this M one processor I'm talking to

2324
02:02:19.560 --> 02:02:22.520
you on, so I'm talking to you on iMac. Twenty

2325
02:02:22.560 --> 02:02:25.960
one percent of that processors for neural is for AI infancing.

2326
02:02:26.199 --> 02:02:28.960
Most people don't haven't even used that part of the

2327
02:02:29.039 --> 02:02:31.399
chip yet. I have four of them in my house.

2328
02:02:31.439 --> 02:02:34.199
I don't use it, and I'm an AI influencer who

2329
02:02:34.560 --> 02:02:38.680
supposed he uses a lot AI to build a summary

2330
02:02:38.720 --> 02:02:41.359
of a transcript only takes a few hundred milliseconds. Then

2331
02:02:41.399 --> 02:02:45.520
it's back to not doing anything. Oh so there's not

2332
02:02:45.720 --> 02:02:47.960
enough for it to do yet. Well, by the end

2333
02:02:48.000 --> 02:02:49.520
of next year, I have a feeling there will be

2334
02:02:49.520 --> 02:02:52.960
a lot more things for that chip to do.

2335
02:02:52.960 --> 02:02:55.640
Do you know what if the Intel I nine processor

2336
02:02:55.720 --> 02:02:57.640
has anything in it for AI?

2337
02:02:58.039 --> 02:03:04.439
They're behind Apple and others. They're trying the intelligence added.

2338
02:03:04.800 --> 02:03:07.920
A lot of the PCs are getting AI capabilities, but

2339
02:03:08.319 --> 02:03:11.640
other companies are ahead in terms of trillions of operations

2340
02:03:11.680 --> 02:03:15.560
per second, which is what it's going to make the

2341
02:03:15.640 --> 02:03:18.039
robot of the future or the virtual being of the

2342
02:03:18.079 --> 02:03:22.399
future do a lot, right so, or the holidack. We're

2343
02:03:22.439 --> 02:03:27.079
doing a holideck soon, right, because right now I'm looking

2344
02:03:27.079 --> 02:03:29.760
at you on pixels on a small screen. Well, what

2345
02:03:29.880 --> 02:03:33.399
happens when it's volumetric pixels and there is no screens?

2346
02:03:34.079 --> 02:03:38.560
You're in my room, right, that's what that's what's coming

2347
02:03:38.760 --> 02:03:45.720
is a completely virtualized environment, digital twin around you, three.

2348
02:03:46.800 --> 02:03:49.840
And sixty degree recreation, right, is that what you're saying?

2349
02:03:49.920 --> 02:03:52.920
Whatever you want, right, it's all voxels. Right. You go

2350
02:03:52.960 --> 02:03:55.399
to the Apple Store and put on the vision pro right,

2351
02:03:55.640 --> 02:03:58.239
and you see the Apple Store. You're not seeing Apple store.

2352
02:03:58.279 --> 02:04:02.720
You're seeing the computers green. Right, everything is created for you.

2353
02:04:03.319 --> 02:04:06.239
So you and you start going, oh wait a second.

2354
02:04:06.800 --> 02:04:09.760
Every box will can be changed by the AI computer. Right,

2355
02:04:09.840 --> 02:04:13.600
So I can change the Apple Store into usemity, and

2356
02:04:13.680 --> 02:04:16.319
it does. You turn the knot You're in u Semity.

2357
02:04:16.359 --> 02:04:18.560
You turn the non bag, You're in the Apple store, right,

2358
02:04:19.560 --> 02:04:22.319
and soon you're going to have that in your house

2359
02:04:22.359 --> 02:04:25.119
with more capabilities.

2360
02:04:25.359 --> 02:04:27.479
Right, freak freak and more freak.

2361
02:04:28.079 --> 02:04:31.359
Mid Journey is building a holiday Unity Labs is building

2362
02:04:31.399 --> 02:04:34.199
a holidayy And if those two are building holidaggs. I

2363
02:04:34.239 --> 02:04:36.960
assume a lot of other companies are building holidays because

2364
02:04:37.359 --> 02:04:39.880
that's how you're going to compute soon.

2365
02:04:40.239 --> 02:04:43.399
So I think we've already invented the replicator right from

2366
02:04:43.399 --> 02:04:49.319
star Wick, from Star Trek, right the holidayck. So is

2367
02:04:49.319 --> 02:04:52.640
there anything missing off of the star Trek Tech playbook

2368
02:04:52.680 --> 02:04:55.800
that we haven't recreated the transporter?

2369
02:04:56.000 --> 02:04:59.119
That's going to be a hard Now I can transport

2370
02:04:59.199 --> 02:05:02.119
you did into your robot, right, So if you're in

2371
02:05:02.199 --> 02:05:04.800
Germany on a business trip and you have a humanoid

2372
02:05:04.880 --> 02:05:07.920
robot in your kitchen, you could jump into your robot

2373
02:05:07.960 --> 02:05:12.479
and now you're really in your kitchen, right writing things around. Right.

2374
02:05:12.800 --> 02:05:15.319
You don't have to take the risk of being de

2375
02:05:15.520 --> 02:05:17.960
atomized in the process.

2376
02:05:18.079 --> 02:05:22.079
Right, you know. We can do this digitally, but not physically, right,

2377
02:05:22.159 --> 02:05:24.319
not not with our bodies.

2378
02:05:24.479 --> 02:05:24.680
Right.

2379
02:05:25.039 --> 02:05:28.239
You can't cut that up and translate that over the internet.

2380
02:05:28.720 --> 02:05:30.479
But we can embody.

2381
02:05:31.600 --> 02:05:34.479
If you were wearing glasses, I could embody myself into

2382
02:05:34.479 --> 02:05:38.239
your head, right and experience life like how you're experiencing it.

2383
02:05:38.359 --> 02:05:39.840
So if you're in the front row of a Taylor

2384
02:05:39.880 --> 02:05:45.279
Swift concert, share, yeah, share your glasses with me. Man,

2385
02:05:45.399 --> 02:05:49.600
come on, don't hold out Taylor Swift on maybe even

2386
02:05:49.680 --> 02:05:52.119
charge people you want to watch Taylor Swift in the

2387
02:05:52.119 --> 02:05:55.039
front row. I'd spend five thousand dollars on these tacks.

2388
02:05:55.119 --> 02:05:57.560
I need some money bags, twenty bucks for each of

2389
02:05:57.640 --> 02:05:58.319
year fifty.

2390
02:05:58.600 --> 02:06:00.640
That's I was going to say, you could sell excess. Right,

2391
02:06:00.680 --> 02:06:02.479
It's yeah, right.

2392
02:06:02.359 --> 02:06:06.199
Bingo reality TV, a new kind of reality TV.

2393
02:06:07.159 --> 02:06:10.920
And then Taylor Swift could take a rev share on that.

2394
02:06:12.640 --> 02:06:16.800
Well, now are you embodied into Taylor Swift's glasses?

2395
02:06:17.079 --> 02:06:20.119
Ah, there you go. Now that would be probably a

2396
02:06:20.119 --> 02:06:21.279
more valuable connection.

2397
02:06:21.880 --> 02:06:24.920
And they you know, then it gets weird because once

2398
02:06:24.960 --> 02:06:29.039
you do that, then you have professional video people around.

2399
02:06:29.119 --> 02:06:33.600
But and you can pop from person a person. If

2400
02:06:33.640 --> 02:06:36.279
there's a front row at the Taylor Swift concert and

2401
02:06:36.319 --> 02:06:40.560
everybody is wearing Apple glasses or Apple, some are wearing Apple,

2402
02:06:40.640 --> 02:06:44.720
some are wearing metaglasses, you can embody yourself in any

2403
02:06:44.800 --> 02:06:49.640
of those people, right, And the computer can join all

2404
02:06:49.720 --> 02:06:55.039
of those cameras together into an array camera, a light

2405
02:06:55.119 --> 02:06:58.600
field camera, because that's what I think Stanford's first light

2406
02:06:58.640 --> 02:07:01.520
field camera work. They had a grid cameras, right, And

2407
02:07:01.600 --> 02:07:04.920
so now you have people standing next to each other

2408
02:07:05.000 --> 02:07:07.439
wearing cameras. You could join all those together and make

2409
02:07:07.479 --> 02:07:10.840
a three D scene of the Taylor Swift stage. Right.

2410
02:07:11.479 --> 02:07:14.079
Yeah, I think you've come up with a new way

2411
02:07:14.119 --> 02:07:17.439
for people to have a job, Robert.

2412
02:07:18.039 --> 02:07:21.800
You know, I'm signing up for that job. I got

2413
02:07:21.840 --> 02:07:26.720
to go to concerts every Friday. Okay, sure that sounds fun.

2414
02:07:28.640 --> 02:07:30.880
Make a couple of grand every weekend because I'm going

2415
02:07:30.880 --> 02:07:31.840
to some cold concert.

2416
02:07:31.920 --> 02:07:32.159
Yeah.

2417
02:07:32.279 --> 02:07:32.680
Yeah.

2418
02:07:33.319 --> 02:07:35.880
Like we've seen in the past with technology, it's created

2419
02:07:36.399 --> 02:07:40.960
income opportunities in ways that we couldn't have predicted necessarily.

2420
02:07:41.199 --> 02:07:43.439
Right now, The truth is, I probably if I was

2421
02:07:43.520 --> 02:07:47.439
that kind of entrepreneur, I would be creating a virtual

2422
02:07:47.520 --> 02:07:51.319
world with a virtual stage, and I would be creating

2423
02:07:51.439 --> 02:07:54.680
my own music on that or my own experiences for people,

2424
02:07:54.880 --> 02:07:58.439
right and selling that. But yeah, people are going to

2425
02:07:58.479 --> 02:08:00.560
pay for all sorts of weird shit. Like to watch

2426
02:08:00.600 --> 02:08:03.439
a guy run a suit streaming plant today, that's twenty bucks.

2427
02:08:03.760 --> 02:08:08.039
You know, I don't know why you want to watch it?

2428
02:08:08.039 --> 02:08:10.000
Got work, right, you know, I finishing for an hour?

2429
02:08:10.119 --> 02:08:12.239
You know, I think we've seen some of the stuff

2430
02:08:12.520 --> 02:08:15.520
happened before, like like back in the early days of

2431
02:08:15.600 --> 02:08:19.439
the internet. Jobs new kind of dirty like personal bloggers, right,

2432
02:08:19.560 --> 02:08:21.920
that would mount a camera on their head, right, Yeah.

2433
02:08:22.359 --> 02:08:25.680
Justin Ken who started twitch before he started twitch.

2434
02:08:25.800 --> 02:08:28.159
He there's another one that did that.

2435
02:08:28.199 --> 02:08:32.039
Bingo, right, But Justin had five cell phones in his backpack,

2436
02:08:32.199 --> 02:08:34.960
all multiplex together, so you could always have a signal.

2437
02:08:35.159 --> 02:08:36.840
And I I think it was a life cam is

2438
02:08:36.880 --> 02:08:38.399
what they called it back then, right, I think it

2439
02:08:38.439 --> 02:08:39.079
was a life cam.

2440
02:08:39.319 --> 02:08:42.600
Yeah. Microsoft research was wearing a life cam and did

2441
02:08:42.600 --> 02:08:45.439
a whole bunch of research of wearing a camera permanently.

2442
02:08:45.520 --> 02:08:48.159
And really you try to do it with the Google

2443
02:08:48.159 --> 02:08:49.399
Glasses for a while too.

2444
02:08:49.479 --> 02:08:52.760
I did the Google Glass. The battery didn't last very long,

2445
02:08:52.960 --> 02:08:55.760
so if you're like, if you're streaming or recording on it,

2446
02:08:55.760 --> 02:08:58.039
it could only record for forty five minutes before the

2447
02:08:58.079 --> 02:09:00.680
thing died. That's what a lot of people are you

2448
02:09:00.720 --> 02:09:02.920
recording me? I'm like, fuck, no, it takes too much

2449
02:09:02.960 --> 02:09:05.640
battery to record you, and you're not interesting enough to

2450
02:09:05.720 --> 02:09:07.039
record yet, you know.

2451
02:09:08.840 --> 02:09:11.000
Yeah, and if people knew that you were you had

2452
02:09:11.000 --> 02:09:13.600
a video camera on there, they'd be less likely to

2453
02:09:13.640 --> 02:09:14.479
come up and talk to you.

2454
02:09:14.560 --> 02:09:21.319
Right, No, that was no. In fact, that encourages encourage

2455
02:09:21.359 --> 02:09:25.039
them to do That encourages Coachella. Thomas Hawk and I

2456
02:09:25.079 --> 02:09:28.239
had big six hundred millimeter lenses at this music festival,

2457
02:09:28.359 --> 02:09:30.920
and having those lenses in the field, people would come

2458
02:09:30.960 --> 02:09:33.920
up and dance for us. They wanted to be photographed. Right,

2459
02:09:34.239 --> 02:09:37.159
There's a whole continent of human beings who see a

2460
02:09:37.199 --> 02:09:40.560
camera and they start performing for it. Right, It's just innately,

2461
02:09:40.680 --> 02:09:42.720
it's like, oh, there's camera, let's start doing something.

2462
02:09:42.760 --> 02:09:45.840
Goofy, right, create a TikTok.

2463
02:09:47.880 --> 02:09:50.279
It's infinite. I mean, this is a new job though.

2464
02:09:50.359 --> 02:09:55.039
Right as we kill old jobs like driving a truck

2465
02:09:55.159 --> 02:09:57.680
or something like that, there's all sorts of new jobs

2466
02:09:57.720 --> 02:10:00.960
coming on the metaphor in the future of this stuff, right,

2467
02:10:01.399 --> 02:10:03.199
because we're going to be walking around and want to

2468
02:10:03.199 --> 02:10:05.319
play a new game. You're going to have a shack

2469
02:10:05.399 --> 02:10:07.359
with new games, and you're going to sell me new

2470
02:10:07.399 --> 02:10:12.079
games or new clothes or new guns, or new experiences

2471
02:10:12.239 --> 02:10:15.479
or new concerts or right, or new kinds of art

2472
02:10:15.560 --> 02:10:18.359
museums or new kinds of nightclubs are all coming.

2473
02:10:18.560 --> 02:10:22.439
Right. It's all really based on the attention economy, which

2474
02:10:22.479 --> 02:10:24.199
has been around for a long time.

2475
02:10:24.439 --> 02:10:24.600
Right.

2476
02:10:25.319 --> 02:10:27.000
I remember we talked about that a lot on the

2477
02:10:27.000 --> 02:10:30.039
early days of the Internet. Was how people are going

2478
02:10:30.119 --> 02:10:34.199
to have full time jobs around capturing and maintaining attention.

2479
02:10:34.640 --> 02:10:37.800
Yeah, and that's what's happened at my stuff. We had

2480
02:10:37.800 --> 02:10:40.800
a Second Life island back in two thousand and five, right,

2481
02:10:40.960 --> 02:10:44.720
And the only reason that didn't work out is the technology

2482
02:10:44.800 --> 02:10:47.640
was too early. You could only have one hundred people

2483
02:10:47.640 --> 02:10:49.760
on an island, and we paid one hundred grand to

2484
02:10:49.840 --> 02:10:51.720
run the island, to build an island.

2485
02:10:51.920 --> 02:10:53.680
And I remember that.

2486
02:10:53.640 --> 02:10:56.119
If I could get a few thousand people on that

2487
02:10:56.159 --> 02:10:59.520
island and it'd still be offering today. Right. It's a

2488
02:10:59.520 --> 02:11:03.000
great way to interact with people or your customers. It's

2489
02:11:03.079 --> 02:11:06.720
much better than going to going to Google meet or whatever.

2490
02:11:07.079 --> 02:11:11.159
Right, yeah zoom. Well, well, Robert, it's been fun living

2491
02:11:11.159 --> 02:11:14.039
in the future and talking about what's to come and

2492
02:11:14.039 --> 02:11:16.680
how how to maybe trust some of this stuff just

2493
02:11:16.720 --> 02:11:19.119
based on us having better knowledge about what's coming.

2494
02:11:19.920 --> 02:11:24.319
So run your models locally, right, Well, I think if

2495
02:11:24.319 --> 02:11:26.199
you don't trust it, if you don't trust the man,

2496
02:11:26.279 --> 02:11:31.439
don't give him your data. Create your own ll M

2497
02:11:31.600 --> 02:11:34.319
right on your well, or use a lot to use

2498
02:11:34.359 --> 02:11:37.359
an LLLM that you can run locally on your own

2499
02:11:37.399 --> 02:11:40.039
machine and not be connected to the internet. Not give

2500
02:11:40.439 --> 02:11:44.600
the cloud computing, any info of how yourself humans work.

2501
02:11:45.119 --> 02:11:47.720
If it's more convenient to give the man the data,

2502
02:11:47.840 --> 02:11:48.880
you're going to give the man.

2503
02:11:48.760 --> 02:11:52.119
The data, and you're the one that's being sold.

2504
02:11:53.920 --> 02:12:00.439
Many times, if you look inside a large thang model,

2505
02:12:00.439 --> 02:12:02.960
it read my blog for a decade, right, and it

2506
02:12:03.119 --> 02:12:05.680
knows a lot about me, It really does.

2507
02:12:05.840 --> 02:12:09.000
It's scary, yeah, and it's probably growing in this knowledge.

2508
02:12:09.199 --> 02:12:11.680
That's probably why I'm willing to trust it, because I'm

2509
02:12:11.720 --> 02:12:13.199
already deep inside of it.

2510
02:12:13.680 --> 02:12:13.880
Right.

2511
02:12:14.600 --> 02:12:17.880
It knows U asked Rock show me all points of

2512
02:12:17.960 --> 02:12:20.319
view about Roberts Gobel. That tells you what I've done

2513
02:12:20.399 --> 02:12:22.319
bad in the world and what I've done good in

2514
02:12:22.319 --> 02:12:28.600
the world. M that's a new privacy problem. Everybody knows

2515
02:12:28.600 --> 02:12:29.000
your ship.

2516
02:12:31.960 --> 02:12:32.920
Better be careful.

2517
02:12:33.600 --> 02:12:36.039
It's like Santa Claus. He knows when you've been naughty

2518
02:12:36.119 --> 02:12:40.000
or nice, and he's keeping a list. It's and here

2519
02:12:40.039 --> 02:12:40.479
you go.

2520
02:12:40.560 --> 02:12:42.239
All the time, right, all the time.

2521
02:12:42.319 --> 02:12:44.840
Coca Cola is going to have you have all your naughties.

2522
02:12:47.159 --> 02:12:50.520
Well, Robert, let's talk about how listeners can get a

2523
02:12:50.520 --> 02:12:51.039
hold of you.

2524
02:12:51.159 --> 02:12:53.000
And you got it on the screenscobilizer.

2525
02:12:53.439 --> 02:12:53.720
Right.

2526
02:12:53.920 --> 02:12:56.880
If you can't find me, you can't find anybody, right,

2527
02:12:57.359 --> 02:12:59.680
that's a good point. Put my last name, you'll find me.

2528
02:13:00.279 --> 02:13:03.600
And then it's your YouTube channel that has your videos

2529
02:13:03.600 --> 02:13:04.520
that you have up there.

2530
02:13:04.600 --> 02:13:06.840
Yeah, that's one of them. The un ligne is on

2531
02:13:06.920 --> 02:13:09.600
another one, but you can figure it out. Thanks from

2532
02:13:09.800 --> 02:13:10.720
x dot com.

2533
02:13:10.800 --> 02:13:14.920
Sure, yep. Well, thank you so much, Robert for spending

2534
02:13:15.439 --> 02:13:17.319
what close to two and a half hours with me.

2535
02:13:17.560 --> 02:13:19.560
Yeah, it's fun. You're awesome.

2536
02:13:20.119 --> 02:13:22.399
Well, thank you so much. I appreciate you taking time.

2537
02:13:22.680 --> 02:13:25.880
This actually the first time i've well, it's been a

2538
02:13:25.920 --> 02:13:28.560
few months since I did the last Trust Factor episode,

2539
02:13:28.800 --> 02:13:31.159
so we covered.

2540
02:13:30.880 --> 02:13:34.119
A lot of things. There's a lot of trust problems coming.

2541
02:13:34.479 --> 02:13:37.640
Right, and I'm just starting to unpack this. This is

2542
02:13:37.640 --> 02:13:40.560
the thirteenth episode of the series, so I've been diving

2543
02:13:40.560 --> 02:13:42.279
into this and a lot of the topics have been

2544
02:13:42.279 --> 02:13:46.920
about AI, so I plan on logging and digging in

2545
02:13:47.000 --> 02:13:51.039
deeper to other aspects of trust too. That are, we.

2546
02:13:51.000 --> 02:13:53.359
Didn't even talk about an intellectual property. I mean, if

2547
02:13:53.359 --> 02:13:55.199
you're a business and you have a whole bunch of

2548
02:13:55.239 --> 02:13:58.079
plans for your next product, do you want to give

2549
02:13:58.079 --> 02:14:01.920
that the chat GPT? I would think twice, right.

2550
02:14:02.359 --> 02:14:05.680
Right, that's true. That's true because you're not getting paid

2551
02:14:05.680 --> 02:14:05.960
for that.

2552
02:14:06.079 --> 02:14:08.520
Are you going through the API door? Are you going

2553
02:14:08.560 --> 02:14:11.119
through the front door, Because if you go through the

2554
02:14:11.159 --> 02:14:13.800
front door, they use your data to train models. If

2555
02:14:13.840 --> 02:14:16.159
you go through the API door like your software engineer,

2556
02:14:17.319 --> 02:14:22.960
they claim they don't use that data. So even right there,

2557
02:14:23.000 --> 02:14:25.000
you have to know the difference, and you have to

2558
02:14:25.039 --> 02:14:27.880
know what you're doing, which most people don't.

2559
02:14:28.680 --> 02:14:31.920
Yeah, I think isn't open ai under a fair amount

2560
02:14:31.920 --> 02:14:34.279
of lawsuits right right now for copyright infringement.

2561
02:14:34.840 --> 02:14:36.880
Well, that's because of how they train the models.

2562
02:14:36.920 --> 02:14:37.079
Right.

2563
02:14:37.079 --> 02:14:40.399
They just ingested everything they ingested, and that's why it

2564
02:14:40.479 --> 02:14:43.520
knows me. It ingested my blog for ten years and

2565
02:14:44.199 --> 02:14:48.520
stole it to make the model. They didn't pay me.

2566
02:14:48.560 --> 02:14:51.399
I didn't get a paycheck in the mail for this, right, Yeah,

2567
02:14:51.479 --> 02:14:52.079
But they just.

2568
02:14:52.000 --> 02:14:54.439
Think you'd have to Yeah, I think you'd have to

2569
02:14:54.640 --> 02:14:57.079
comb through the terms of service with YouTube too to

2570
02:14:57.159 --> 02:14:59.760
find out. I'm sure that they're using all those videos

2571
02:14:59.800 --> 02:15:00.840
is training data.

2572
02:15:01.359 --> 02:15:05.399
And it changes x dot. AI just changed Twitter's terms

2573
02:15:05.399 --> 02:15:07.279
of surface so that they can use all of your

2574
02:15:07.359 --> 02:15:11.079
data unless you change it back to say now you can, right,

2575
02:15:11.439 --> 02:15:14.199
And most people don't even know that, right, So most

2576
02:15:14.199 --> 02:15:16.479
people haven't turned it on. I actually leave it on

2577
02:15:16.600 --> 02:15:19.800
because I want the AI have all my data because

2578
02:15:20.159 --> 02:15:22.880
it already has all my data anyways, but the more

2579
02:15:22.960 --> 02:15:25.640
data I give it, the better it gets. Right, And

2580
02:15:25.640 --> 02:15:27.720
this is the problem. Everybody's going to do this and

2581
02:15:28.000 --> 02:15:30.560
people get wound up. No, I'm not going to do that.

2582
02:15:30.640 --> 02:15:33.159
I'm like, yes you are. If you're going to have

2583
02:15:33.159 --> 02:15:37.520
a robot in your house or at least at least

2584
02:15:37.520 --> 02:15:40.279
delivering pizza to your front door, and it's going to

2585
02:15:40.319 --> 02:15:42.600
look inside your house a nice.

2586
02:15:42.359 --> 02:15:47.359
House, totally. So well, Robert, thank you so much. I'll

2587
02:15:47.439 --> 02:15:49.079
let you move on with your DAYO.

2588
02:15:49.720 --> 02:15:51.000
Yeah, same here. Thanks.

2589
02:15:51.600 --> 02:15:54.680
I appreciate it very much, and thank you everybody for

2590
02:15:54.760 --> 02:15:57.800
watching this and joining me. This show can be found

2591
02:15:58.279 --> 02:16:01.520
in an audio podcast too, so if you want to

2592
02:16:01.640 --> 02:16:04.000
let your friend know that this is available. I think

2593
02:16:04.279 --> 02:16:06.600
this was a pretty in depth conversation about the impacts

2594
02:16:06.600 --> 02:16:09.520
of robots and AI and people's lives. I'm not sure

2595
02:16:09.560 --> 02:16:12.720
that there's a lot of other shows that have dived

2596
02:16:12.800 --> 02:16:15.159
to the level that we've build in on this, and

2597
02:16:15.640 --> 02:16:19.840
Robert's a terrific resource for this, and so so I'm

2598
02:16:19.840 --> 02:16:20.840
gonna it'll be interesting.

2599
02:16:20.640 --> 02:16:22.760
To see how many people give this show to their

2600
02:16:22.800 --> 02:16:25.720
AI it's like two and a half hour. They watched

2601
02:16:25.720 --> 02:16:27.680
the two and a half hour show and tell me

2602
02:16:27.720 --> 02:16:31.319
if there's any anything interesting in it. Yeah, give me

2603
02:16:31.359 --> 02:16:33.360
a synopsis and just tell me the highlights.

2604
02:16:33.920 --> 02:16:38.040
Totally agree. Yeah, so yeah, a new world. Yeah, and

2605
02:16:38.239 --> 02:16:41.040
definitely leave some comments and questions that I'd be happy

2606
02:16:41.079 --> 02:16:43.959
to answer them, and I'm sure Robert would love to

2607
02:16:44.000 --> 02:16:46.799
see those as well. Yeah, and you're always looking for

2608
02:16:46.840 --> 02:16:50.959
feedback and you're always doing spaces sessions too, talking about

2609
02:16:51.000 --> 02:16:52.280
these topics as well.

2610
02:16:52.280 --> 02:16:55.399
I'm doing different things and I joined a testa group,

2611
02:16:55.479 --> 02:16:58.239
I join a lot of AI groups. And then there's

2612
02:16:58.680 --> 02:17:03.399
on Thursday there's AI show for developers engineers AI engineers,

2613
02:17:03.479 --> 02:17:06.559
right Nerdier. On Monday, there's another guy who does this

2614
02:17:06.639 --> 02:17:10.399
show on AI News right, So fucking and out of

2615
02:17:10.479 --> 02:17:11.360
different shows.

2616
02:17:11.799 --> 02:17:15.600
That's fantastic. So I'm going to say goodbye to everybody

2617
02:17:15.639 --> 02:17:17.639
out there and thank you so much for spending so

2618
02:17:17.719 --> 02:17:19.680
much time with us. If you managed to make it

2619
02:17:19.719 --> 02:17:21.639
through two and a half hours. And this whole show

2620
02:17:21.719 --> 02:17:24.920
is going to be on replay on LinkedIn and x

2621
02:17:25.239 --> 02:17:29.920
as well as Facebook and YouTube, so then it's also

2622
02:17:29.920 --> 02:17:33.840
available as a YouTube or as a podcast audio podcast.

2623
02:17:34.639 --> 02:17:36.719
Trust Factor is the name of the show, so go

2624
02:17:36.840 --> 02:17:39.520
subscribe to that. So thank you so much.