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Real world and then it's gonna go in there and then suddenly it's gonna notice the oh wait a minute, I know when I'm done because you can feel and literally the voltages will slightly change.

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And so these are the subtle little cues that are just so hard to tease in a simulation.

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They're so hard to get from egocentric data and why they want to do more and more of the

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data capture.

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And then of course the other things they can do is they may have like a proxy.

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We're not sure before they have all the alphabetic.

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It seems that they have alphabetic outfits.

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That means that's almost like a string of nine.

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This is not just the hands.

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almost have the whole thing as which is basically how Tesla did full self-driving is that people were not driving the car remotely.

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They were sitting in the seat, right?

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Literally driving the car the way the car is supposed to be driven.

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We'll we'll get to that.

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it's a very good comment that you made.

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Everyone else puts on they get the p humans to put on glasses and they put on gloves.

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And you're saying actually what Tesla you think is they're doing is they're actually putting on exactly what the robot has, like a battery pack in the back, the actual headgear.

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as if they are the robot and that's interesting we'll we'll cover that a little bit more but tell me about what will it take for Optimus 3 the new robot we haven't seen

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To be able to do the things Elan says we would do.

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You put together a deck here, let's let's walk as good as

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so basically there's the three things.

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You have the Swiss wash, the

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hundred miles per hour fastball and chainsaws and motorcycle.

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We're gonna break them down one at a time to get kind of an idea of of what's actually meant.

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So yeah.

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So you know the the first thing

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is you know what would it be like to assemble a Swiss watch?

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You know, it's with one hand, with the head looking down, right, at the at the work, and then suddenly has to catch a hundred mile per hour fast.

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It's not like it's going to drop something to be able to get it.

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You know, thrown from basically an angle, 'cause he he said, you know, thro obliquely I think was the word.

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So

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And everyone's wondering what that means.

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And what I think that means is not straight on.

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Okay?

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It's gonna be coming from the side somehow.

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So and

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And there's actually probably some advantage to doing it that way anyways.

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You know, one of them is like if it misses you know, if it doesn't get the catch, it just goes by, it doesn't like hit it right in the head.

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It's also gonna be a lot easier.

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And then finally, what kind what's required for like the torque requirements and everything else and responsiveness in the actuators to be able to do something like that

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juggling chainsaws on fire on a unicycle and everything else.

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And it seems like individually a lot of these things could be done.

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The question is you can eat

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you put that all into one machine.

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So let's see.

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Let's go ahead and start breaking it down.

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All right, so.

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It has to be a fair fight.

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In other words, the robot's not allowed to use tools that the human doesn't have, but at the same time we're not going to take tools away from the robot that we need as humans.

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a Swiss watch, we are not doing it barehanded.

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we have a lot of things that are helping us, you know, a loop or a magnifying glass, you know, tweezers.

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In many cases there's also something

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to rest your your wrist on to keep you from shaking and everything else.

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So that's fair game just so long as it's not specifically modified to be robot friendly.

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Okay, it has to use the same stuff.

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And if it doesn't need it, fine.

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But I would say it's there.

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the other thing is that when we talk about it's not really blind.

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It does have peripheral

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view but it should not be relying on any external cameras or anything else.

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It literally has to be whatever it sort of has on there and they have it set something else up.

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So

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For instance, this kind of stuff of tracking balls, there's lots of robots who can do it.

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We've already been seeing that there are bots that can play tennis and ping pong and everything else.

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Industrial arms have been doing it for over ten years.

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be able to do that tracking, but usually it meant they mounted other kind of camera systems around there to be able to do the response.

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even some of the tennis playing bots that we've seen, I believe they were not doing

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this idea because there are people who are able to juggle chainsaws and I think maybe even on fire.

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I'm not sure if on a unicycle.

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I know there are jugglers on unicycle.

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I don't know if anyone tried that.

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with a chainsaw.

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But those are props.

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Those are not the chainsaw that's down in your garage.

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They are much lighter.

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They're balanced different.

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The handles are different to be easier to grab.

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They're dulled and everything else, the the blades a little bit shorter.

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You know, a bunch of things like that.

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So it's like, okay, it can use the same ones that humans would be using to do that particular trick.

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But

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it has to use the same unicycle that a human would put.

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So we may see some some bots in unicycles.

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As a matter of fact, I think there already was an example back in the spring

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of a G one on a unicycle.

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What wasn't clear is whether it was actually a pedaled unicycle or whether it was an electric unicycle that was able to do self balancing on its own.

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That's cheating, right?

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I mean

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Using another mechanism to do the balancing.

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And the other thing is like that's a G one that's not human scale.

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So you wanna have something that that's fully human scale.

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things are just going to be a back of the envelope calculation to kind of see is it feasible or not and could we tease out the direction that opt this might be going if they really believe can have.

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So the first thing is you have to make some assumptions.

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So the only thing we know is you mentioned it's a baseball.

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A hundred miles per hour.

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Now when I think of a hundred miles

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an hour baseball think of a pitcher delivering it from a pitching mound which is 60 feet six inches away and of course the World Series is right now and there's a pitcher for the blue for the the brewers that can

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throw like 104 miles per hour.

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So I think that's why that kinda comes up.

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So let's assume you can't throw it from ten feet away.

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It's it's gotta be a reasonable distance.

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So let's assume it's being shot

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out you know some sort of pitching arm or something like that, that's gonna cover that distance in under half a second.

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So that means in less than half a second the robot has to

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acquire it, figure out where it's going, react, and put its hand in the right place.

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So we can kind of break down what's gonna happen.

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Humans are well, yeah.

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Humans can, not all.

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Those have been trained, who have good reflexes, are are able to do that.

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And this is kind of what goes on.

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And again, this puts our world model.

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we are very good at being able to track incoming ballistic things.

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Now we we've we certainly heard in Warzone that they do tracking of of incoming warheads.

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And the reason why you can do that is that they're on a known trajectory, and once you get enough of it, you can figure out where it's going to land and you can try to intercept it, unless they do evasive maneuvers.

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can only do the evasive maneuvers by putting spin on it to make it curve.

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But basically we as human beings have seen enough things fly through the air that with just a few images in our eyes, we can almost predict.

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where it's gonna land.

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That's why we can we can grab, you know, ru know where to run to grab a a catch or something like that.

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So that's what the same thing that's going on.

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You have a a short window

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in which you've got to figure out where the ball's gonna go so you're gonna react.

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And a batter has to do the same thing.

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So a batter has to very quickly kind of guess and decide whether they wanna swing the pitch.

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The same thing with getting your hand out there.

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So there's a little bit of a breakdown here we have of kind of looking what's going on.

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First, you know, looking down isn't the same as being blind, because we we will see something.

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And the only question is whether it's gonna look up, but I think he was saying it's still gonna be looking down almost as if it's bored and it goes and catches the ball Optimus.

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where are the cameras on the Optimus?

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Don't they have extra extra cameras?

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Yeah, they have extra cameras.

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Yes, yes.

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And and they may even be cameras from behind.

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we don't know if there's gonna be risk cameras.

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We we have have no idea.

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someone in the also in in the torso.

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So it's impossible there there are other cameras there.

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Right now I think there's stereo cameras.

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It may be like a chin camera or something like that.

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But we can assume there's

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Yeah.

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It's like it's like the car.

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The car has eight.

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But there's another reason is that it's a lot easier to track a throw coming from the side to figure out where it's going to go to

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to one that's coming right at you.

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If it's coming right at you, you don't have enough information.

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So you do want to actually have a little bit of obliqueness.

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Okay, so which is which is fair.

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Okay.

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If he said oblique

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That means it's like it doesn't have to be straight ahead.

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He's being f very straightforward and saying it's gonna be to the side, so we're giving a little bit.

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So you have really as as you see when

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when you throw that, only about a hundred milliseconds to make a decision on where it's going.

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So you you get enough and how many data points you have in there is gonna depend upon the frame rate of your camera.

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That's kind of very important.

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So you get that, then you have to make a decision to commit where the ball is going to go.

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And at that point you have, you know, about a quarter second or

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something like that to move to wherever the hand is up to where it needs to go with a with a peak velocity of around three meters per second.

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And three meters a second is obviously something that people can do and these robot arms should all

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also be able to something like that that at peak and th there should be enough torque and everything got be able to get over to where it needs to be.

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So so you know this has implied that there's gonna be some some latency in

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Now how far the ball

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moves between frames.

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So most cameras have maybe 30 hertz.

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Okay, so that that's what a lot of them are running at.

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And if you're going at that, that means it's moving well

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over a meter between frames.

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Okay.

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So that that that means at a hundred miles per hour.

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So that means that

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That first look you're gonna get in the first hundred milliseconds you're only gonna see like three frames, which is barely enough to do the fit.

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Now you can do the curve fit because you can assume it's a parabola, okay?

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It's it's not

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Like I'm seeing three data points, I have no idea what curve to fit to that.

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It's like we know what curve to fit to it, so that's kinda sufficient.

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But the more data you have, the better it's gonna be because you've got to worry about blur and a lot of these

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other things so it it could be that that Tesla is already running maybe a little bit higher 36 frames at least in the Tesla cars we don't know

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what the cameras are going to be doing.

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So pretty much to pull this trick off, you would want to have cameras which are greater than 200 hertz.

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And that means you know not

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just that you're capturing images that you now need to have a central processor that can do that.

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I don't know if AI four can do that.

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Maybe AI five can.

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So you you know

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You're getting a lot of data now what are you gonna be able to do with it.

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So you gotta worry about motion blur as well.

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And that, you know, those kind of exposures to see how much smear you have in the ball.

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You know, these are all things you gotta kinda tease out.

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And then if you have stereo depth, that helps as well.

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So if you just have a single camera, it's gonna be very hard to figure out.

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I mean you can do

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stereo through basically time.

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The f the fact that a little bit of time is moved or you move your head back and forth.

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But if you're kind of fixed and things are quick, it's really good to have two cameras there.

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stereo to be able to kind of figure out where that depth is and and get a lot quicker.

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So it's possible to do the tracking with with something a little bit higher and it's probably possible to get the

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hand in that position.

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But the real question is going to be, what about the catch?

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This is where the concern is.

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Miles per hour is pretty darn fast.

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Have you ever tried to catch baseball barehanded?

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00:11:26,000 --> 00:11:28,560
I mean you do see people that actually catch the baseball barehanded.

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00:11:28,960 --> 00:11:32,320
handed when they they snag a home run, but it's not coming in at 100 miles per hour.

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So it's it may have left the bat at well over it, but because of wind resistance, everything else, when it comes on down there, it's

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It's a little bit slower.

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It could still sting a little bit, but but basically you can't.

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But there's a huge difference between a fifty mile per hour changeup and a hundred

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You know what that difference is?

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It's really the energy.

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Even though 100 miles an hour is twice as fast as the energy.

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as fifty, it has four times more kinetic energy.

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Mm-hmm.

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Which is why it hurts a lot more when it hits you.

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It doesn't hurt twice as much as a fifty.

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It hurts

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four times more.

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And so there's that energy has to be dissipated and has to be dissipated very rapidly and very quickly.

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And so it's a question of reflex.

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So

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You're talking about assembling a Swiss arm a Swiss watch.

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Is it going to be a one handed assembly or kind of two are down there?

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One's holding tweezers, the other one is keeping

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something steady and suddenly its hand just goes whoop up and catches the ball because there's not time to put on a glove, that's for sure.

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Or it's gonna have to already have some kind of padding.

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because the the hand will shatter attempting to capture that thing for a variety of reasons.

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It doesn't have the compliance to be able to to do.

226
00:12:48,960 --> 00:12:50,800
that so it could stretch and break the tendons.

227
00:12:50,880 --> 00:12:56,560
the tendons could stretch so quickly that it could cause damage to the gearbox and the forearms very easily.

228
00:12:57,440 --> 00:12:58,720
Fingers could potentially still be able to do that.

229
00:12:59,040 --> 00:13:02,800
snap off the and it it's a question is probably not enough reaction.

230
00:13:02,880 --> 00:13:08,560
So the way you get around it is that let me go ahead and and get my little prop here is that either the

231
00:13:08,880 --> 00:13:11,360
The ball is just gonna come in and smack me like that, right?

232
00:13:11,760 --> 00:13:14,080
And then the hand everything in the hand's gonna come back.

233
00:13:14,240 --> 00:13:16,480
Well first thing, I have to get my hand up like this, right?

234
00:13:16,560 --> 00:13:17,440
And I want it to come in.

235
00:13:17,520 --> 00:13:18,640
Do I want it to hit my fingers?

236
00:13:18,960 --> 00:13:22,400
I want to hit it right here on the palms because when it hits the palm usually hurts more.

237
00:13:22,560 --> 00:13:26,080
Usually you want to try to get it there so your fingers will comply a little bit.

238
00:13:26,240 --> 00:13:27,760
Your fingers are not going to be down like this.

239
00:13:27,840 --> 00:13:28,480
They've got to be open.

240
00:13:29,040 --> 00:13:32,240
open because they have to then come for the grasp a little bit later.

241
00:13:32,400 --> 00:13:35,120
So that means they're gonna be at c almost full extension.

242
00:13:35,280 --> 00:13:38,640
When it comes in here, these things are already at their hard limit, which means you could go back

243
00:13:38,960 --> 00:13:39,460
and snap it.

244
00:13:39,520 --> 00:13:41,040
There's not gonna be anything to absorb it.

245
00:13:41,200 --> 00:13:48,640
The only way to do it is if it's tracking it well enough that it's smart enough to move the hand maybe back at a very high rate.

246
00:13:58,960 --> 00:14:03,440
relative velocity is fifty and you capture some of the energy that way and get the absorption.

247
00:14:03,600 --> 00:14:05,360
The thing is whether it could respond enough.

248
00:14:05,520 --> 00:14:07,600
So you've got to do that move at the right time.

249
00:14:07,760 --> 00:14:08,720
If you do it too early

250
00:14:09,200 --> 00:14:16,640
you know, you may be getting your hand out of the way and you may not be able to react fast enough that as soon as you hit, the damage is done.

251
00:14:16,720 --> 00:14:18,080
You've got to start moving beforehand.

252
00:14:18,160 --> 00:14:18,660
So you you

253
00:14:18,960 --> 00:14:20,880
maybe feeling that before it goes.

254
00:14:21,040 --> 00:14:25,440
So the real thing is that hand is not going to be able to handle a hundred mile power of passport.

255
00:14:25,520 --> 00:14:28,560
So so that's like the first place we say, that's incredulous unless

256
00:14:29,040 --> 00:14:32,000
you come up with some other ways to get around this very, very difficult to do that.

257
00:14:32,240 --> 00:14:32,740
A glob.

258
00:14:32,960 --> 00:14:36,640
And the assumption is that after it does it, it goes back to assembling the Swiss Army watching.

259
00:14:36,880 --> 00:14:38,480
Hopefully it's not with a broken hand.

260
00:14:42,000 --> 00:14:43,920
Okay, now the juggle.

261
00:14:44,240 --> 00:14:46,720
This is a different kind of catch that that we're doing on here.

262
00:14:46,880 --> 00:14:48,560
So if you're juggling and putting

263
00:14:48,960 --> 00:14:51,600
something up now the first thing is you said juggling.

264
00:14:52,240 --> 00:14:55,840
So when you say juggle, how many objects are you referring to?

265
00:14:56,400 --> 00:14:56,900
Three.

266
00:14:57,120 --> 00:14:58,400
I I think everyone I mean

267
00:14:58,880 --> 00:15:01,840
In order to juggle something means you've got more items and you have hands.

268
00:15:02,000 --> 00:15:03,360
So it'd be a minimum of three.

269
00:15:03,440 --> 00:15:04,960
It's not like, oh, we're just gonna do this.

270
00:15:05,120 --> 00:15:06,640
This is not juggling, okay?

271
00:15:06,960 --> 00:15:08,640
So I've gotta get them all up here.

272
00:15:08,960 --> 00:15:10,400
handed two.

273
00:15:18,960 --> 00:15:20,320
One catch every second.

274
00:15:20,480 --> 00:15:24,960
And you've got to throw it up there long enough to give you that one second while you're manipulating the other one to move around.

275
00:15:25,040 --> 00:15:26,480
That's the whole part of juggling.

276
00:15:26,640 --> 00:15:28,640
So when you're taking that, it's it's coming up, it's coming.

277
00:15:28,880 --> 00:15:33,280
coming down, you've got to catch it, you've got to absorb the energy of that and you've got to put that energy back in again.

278
00:15:33,600 --> 00:15:38,480
So again, we might be looking at more theatrical chainsaws, which might be as low as like

279
00:15:38,880 --> 00:15:40,000
three kilograms of weight.

280
00:15:40,080 --> 00:15:43,040
Most chainsaws are maybe around five to seven, something like that.

281
00:15:43,120 --> 00:15:48,720
so it'd be a lighter one with a lot of things kind of taken out of it to make sure it doesn't hurt anyone.

282
00:15:49,280 --> 00:15:52,080
So there might be a chain on it, but there won't be any teeth.

283
00:15:52,240 --> 00:15:54,880
and you need to be able to throw that up.

284
00:15:54,960 --> 00:15:57,920
It's gonna have a certain launch velocity that you need to be able to do.

285
00:15:58,960 --> 00:15:59,460
amount of energy.

286
00:15:59,520 --> 00:16:04,560
So you see we're looking around thirty-five joules there, which is a lot less than the 145 that we're kind of deal with.

287
00:16:04,640 --> 00:16:08,800
And when we we capture it, we already are kind of know we're gonna catch it and go down.

288
00:16:09,040 --> 00:16:13,040
to absorb the energy as opposed to having this thing like just smash right on into us.

289
00:16:13,360 --> 00:16:18,560
So that means we get an idea of what's that going to be like.

290
00:16:19,120 --> 00:16:24,080
And it's gonna be somewhere around like having a ten or twenty kilograms in your hand.

291
00:16:24,320 --> 00:16:26,640
And we know that's around the payload capacity.

292
00:16:26,800 --> 00:16:28,640
So if if that's possible and

293
00:16:28,960 --> 00:16:34,240
And if we kind of look at what the peak torques are going to be out there for all the motors and everything, it's within the possibility.

294
00:16:34,400 --> 00:16:38,800
So based on what Tesla has announced before going back to AIDS.

295
00:16:39,120 --> 00:16:45,680
Day two, where we get an idea of what the the torques are going to be in the various motors, it's within that.

296
00:16:45,840 --> 00:16:48,320
And I'm assuming those actuators might actually be a little bit stronger.

297
00:16:48,960 --> 00:16:49,760
think they've made them weaker.

298
00:16:49,840 --> 00:16:52,080
I assuming they're they're probably even a little bit stronger than theirs.

299
00:16:52,240 --> 00:16:55,840
So that means it would have the strength to be able to pull this off.

300
00:16:56,800 --> 00:16:58,560
And it should be able to have the cord

301
00:16:58,880 --> 00:16:59,380
coordination.

302
00:16:59,520 --> 00:17:01,840
I mean it it seems to me that this is something you could coordinate.

303
00:17:01,920 --> 00:17:04,160
Again, I I'm pretty sure we've probably seen some humanoids.

304
00:17:04,400 --> 00:17:08,720
There there have been robots designed for juggling, you know, so almost everything we're talking about, someone

305
00:17:09,040 --> 00:17:10,240
has built something like this already.

306
00:17:10,320 --> 00:17:14,800
Someone has already built a simple little bot that has been able to ride a unicycle.

307
00:17:14,880 --> 00:17:16,000
It just wasn't a humanoid.

308
00:17:16,320 --> 00:17:18,560
Someone for juggling, someone for doing a catch, all those

309
00:17:18,960 --> 00:17:19,460
different things.

310
00:17:19,600 --> 00:17:20,720
Now we're trying to fold them in.

311
00:17:20,800 --> 00:17:22,560
So we know physically it's possible.

312
00:17:22,720 --> 00:17:28,480
it's just a question whether a humanoid would have it and whether the specs meet what we expect to be

313
00:17:28,960 --> 00:17:31,360
in Optimus or what we've seen being Optimus.

314
00:17:31,600 --> 00:17:33,120
So it's kind of within the range.

315
00:17:33,280 --> 00:17:38,800
The the biggest trick of course is that when you are juggling these things, assuming you have the other strength,

316
00:17:38,960 --> 00:17:42,560
You are on a literally a wobbly base, which is a unicycle.

317
00:17:42,800 --> 00:17:48,320
And balancing that will be a bit tricky, but for these control systems they d they'll just be able to react fast enough.

318
00:17:48,400 --> 00:17:48,900
So

319
00:17:48,880 --> 00:17:50,880
Yeah, every I'm pretty sure they get the balance.

320
00:17:51,200 --> 00:17:53,200
Every limb is that's the beauty.

321
00:17:53,280 --> 00:17:57,040
That's the they got multiple cameras, but they have every multiple that they can manage.

322
00:17:57,520 --> 00:17:58,560
Yes, two years ago this was

323
00:17:58,960 --> 00:18:02,160
was not really possible for a lot of companies because they didn't have whole body control.

324
00:18:02,560 --> 00:18:08,640
They they really had kind of this locomotion policy and they had the policy up there and while the hands could move around and you know

325
00:18:08,960 --> 00:18:10,400
the system was correcting for the bounds.

326
00:18:10,640 --> 00:18:11,920
Now it's gonna be much better.

327
00:18:12,160 --> 00:18:18,160
It it really is knowing what the hands are doing and the sort of the expectation of what the reaction is about to be and it can prepare us.

328
00:18:18,320 --> 00:18:18,820
Certainly

329
00:18:20,400 --> 00:18:28,720
And this is something that's actually fairly easy to simulate in a physics simulator because it's really coming down to rigid body physics and dynamics.

330
00:18:29,040 --> 00:18:33,280
dynamics and doesn't require super high fidelity that you would for other things.

331
00:18:33,360 --> 00:18:37,520
So this is something that they could probably nail in their physics simulator and get it trained up.

332
00:18:39,600 --> 00:18:48,640
So now the the whole thing is about whether they do this live and you know running

333
00:18:49,040 --> 00:18:50,960
engines with fires and stuff like that.

334
00:18:51,120 --> 00:18:56,400
maybe something that if you do it live, you're gonna really have to make sure it's kicked off.

335
00:18:56,960 --> 00:18:58,400
You know, it's like just about

336
00:18:58,800 --> 00:19:00,240
And anything could go wrong with that.

337
00:19:00,400 --> 00:19:08,720
But you know, for the most part, everything here seems like it's plausible and could be possible from the standpoint of the unicycle.

338
00:19:08,800 --> 00:19:18,560
But what we should really look is at what of all these things that we've we've talked about, we haven't got to the the the Swiss clock yet or the Swiss watch, which do you think is probably the most challenging?

339
00:19:21,440 --> 00:19:22,880
I still think the switch watches.

340
00:19:23,200 --> 00:19:24,320
The tiny little things.

341
00:19:24,480 --> 00:19:28,480
I am not I'm not concerned about the unicycle or the juggling or the catching.

342
00:19:28,880 --> 00:19:31,200
I think those are all possible Yeah, yeah.

343
00:19:31,280 --> 00:19:33,040
And again it goes back to John Carmack.

344
00:19:33,120 --> 00:19:33,620
He nailed it.

345
00:19:33,600 --> 00:19:37,040
He just said like it's it's these fine little fiddly things that are very, very difficult.

346
00:19:37,200 --> 00:19:38,880
So the bot could go out and

347
00:19:38,960 --> 00:19:45,360
bring a jack-o' lantern into you for you to do the repairs, but you know, the you know, getting that is is the real challenge.

348
00:19:45,440 --> 00:19:48,320
So so the the point is that the bot is able to kind

349
00:20:06,960 --> 00:20:07,920
And the dexterity is a very good thing.

350
00:20:08,960 --> 00:20:15,040
Bots, yeah, they can show you they're walking and running, but that doesn't take a lot of you know, AI chip power that they don't have.

351
00:20:15,280 --> 00:20:15,780
Memory.

352
00:20:15,840 --> 00:20:16,340
Yep.

353
00:20:16,160 --> 00:20:16,660
All that.

354
00:20:16,640 --> 00:20:17,140
Yep.

355
00:20:17,840 --> 00:20:18,560
And now when

356
00:20:19,040 --> 00:20:20,800
So again, this is a Swiss watch.

357
00:20:20,880 --> 00:20:22,080
This is not a Swiss clock.

358
00:20:22,240 --> 00:20:22,800
It's a watch.

359
00:20:23,200 --> 00:20:27,360
So we can assume that is things that are you know, would go on your wrist, which means it's very small.

360
00:20:28,880 --> 00:20:34,080
to be made up of these small movements with lots of little gears and you know very, very, very, very small parts.

361
00:20:34,320 --> 00:20:38,720
And again, this is not something that any ordinary person can do.

362
00:20:39,120 --> 00:20:40,960
assembling a s a Swiss watch.

363
00:20:41,040 --> 00:20:44,080
It takes a lot a lot of training and it just needs the right tools.

364
00:20:44,160 --> 00:20:48,640
So that's the difference between a jeweler and you and me is that they own the right tools.

365
00:20:48,880 --> 00:20:50,480
And they know how to use those tools.

366
00:20:50,720 --> 00:20:58,000
and the thing is we as humans do not have anywhere near that kind of accuracy that's demanded to put these things together.

367
00:20:59,200 --> 00:21:03,680
We use a lot of props and tricks and tools to give us the precision for that.

368
00:21:03,920 --> 00:21:05,680
And a lot of it is patience.

369
00:21:05,840 --> 00:21:08,800
The other is like magnifying glasses and special little tools.

370
00:21:09,280 --> 00:21:18,560
So we're able to correct for the fact that we are very sloppy meat bags that go around with absolutely no precision because we are looking at what's going on

371
00:21:18,880 --> 00:21:21,840
and we'll make little adjustments and movements until we get it right and it falls in.

372
00:21:22,000 --> 00:21:24,480
So in some ways it's difficult and challenging.

373
00:21:24,720 --> 00:21:26,800
The other time it's just a processing power thing.

374
00:21:26,960 --> 00:21:28,480
I I I think that's more of

375
00:21:29,040 --> 00:21:33,760
a mind over matter kind of issue as opposed to that you need to have something that's super accurate.

376
00:21:33,920 --> 00:21:38,160
So again, we've seen these robots that have been able to thread a needle and everyone's impressed.

377
00:21:38,240 --> 00:21:38,740
Oh look at the

378
00:21:39,840 --> 00:21:42,960
That's not a big deal because they were already given the needle, they're already given the thread.

379
00:21:43,120 --> 00:21:46,480
The real challenge is picking those two items up before you go ahead and do that.

380
00:21:46,720 --> 00:21:48,480
But even then, if you if if there's

381
00:21:48,800 --> 00:21:51,520
They're going, you know, threading the needle like that, that's impressive.

382
00:21:51,680 --> 00:21:57,200
But they're going like what we would until you make the adjustment and you see it's right and you move on in.

383
00:21:57,440 --> 00:21:58,720
Same thing with the Swiss watch.

384
00:21:59,120 --> 00:22:03,760
is that when you're dropping that little gear in there, you're not just getting it right the first time.

385
00:22:03,840 --> 00:22:08,480
You're kind of getting it over very, very close and you keep making these micro adjustments until eventually it goes in.

386
00:22:08,960 --> 00:22:09,920
Because you're using supports.

387
00:22:10,080 --> 00:22:11,280
You're making sure there's something there.

388
00:22:11,520 --> 00:22:15,520
If I was just like holding this up in my hand, I would probably have difficulty doing that.

389
00:22:15,680 --> 00:22:18,480
But so long as I have like a nice fixture to put it on and everything.

390
00:22:19,120 --> 00:22:24,480
else and let's say the the bots allowed to cheat just the same way that we're allowed to cheat.

391
00:22:24,560 --> 00:22:25,060
Okay.

392
00:22:25,040 --> 00:22:26,640
Just can't do anything extra than that.

393
00:22:26,720 --> 00:22:28,240
So that will be a challenge.

394
00:22:28,960 --> 00:22:36,240
but I can believe that it it could multitask and like do this grab the ball at the same time.

395
00:22:36,400 --> 00:22:38,720
That's it so the question is.

396
00:22:39,120 --> 00:22:40,560
Who's gonna do that first?

397
00:22:40,880 --> 00:22:48,560
I I have a feeling a couple of these, some Chinese robot companies will probably do it before Elon gets a chance to show it up.

398
00:22:48,880 --> 00:22:55,760
Which is what I I told him it's like don't don't tell them what you're gonna do because within two weeks one of 'em is gonna do part of your demo.

399
00:22:56,080 --> 00:22:56,960
I'm not worried about that.

400
00:22:57,280 --> 00:22:58,640
I mean the whole point is it's a

401
00:22:59,040 --> 00:23:00,480
demo versus a real thing.

402
00:23:00,960 --> 00:23:02,080
Can it really do it?

403
00:23:02,400 --> 00:23:05,520
Okay, so what is your yeah, your your kind of thing here?

404
00:23:05,680 --> 00:23:08,480
You're basically saying yeah, you can do these

405
00:23:09,040 --> 00:23:10,240
things, you've got it.

406
00:23:10,400 --> 00:23:12,000
Seems like it's possible, right?

407
00:23:12,080 --> 00:23:13,280
Based on the implied specs.

408
00:23:14,320 --> 00:23:18,320
It's it's possible assuming those are the specs that Optimus is going to have.

409
00:23:18,480 --> 00:23:18,980
So

410
00:23:19,040 --> 00:23:28,160
if if Elon really believes and I you know, if it's not something that he just kind of pulled out of his hat to say, All right, this is what I want to do but he had been discussing it and

411
00:23:28,960 --> 00:23:33,200
thinking about that that that's kind of the capability and they all agree that it it has the has that.

412
00:23:33,360 --> 00:23:38,080
It tells us something about the potential specs, you know, of of what Gen three may potentially have.

413
00:23:39,200 --> 00:23:39,920
Gen four by the way.

414
00:23:40,000 --> 00:23:41,040
He never did get a date.

415
00:23:41,200 --> 00:23:43,200
I mean he says, you know, it could be gen four.

416
00:23:43,280 --> 00:23:44,400
You know, that could be the future.

417
00:23:44,960 --> 00:23:45,680
So here we go.

418
00:23:45,840 --> 00:23:47,680
Catch 100 mile per hour with a mit.

419
00:23:47,920 --> 00:23:48,720
You said it's possible.

420
00:23:48,960 --> 00:23:50,160
Yes, it's ha could be happening.

421
00:23:52,960 --> 00:23:54,240
Juggle balls, very possible.

422
00:23:54,320 --> 00:23:55,040
I've seen we've seen that.

423
00:23:55,200 --> 00:23:56,720
Juggle props, very possible.

424
00:23:56,960 --> 00:23:58,480
Not just plausible, possible, very likely.

425
00:23:59,040 --> 00:23:59,540
likely.

426
00:23:59,440 --> 00:23:59,940
Right.

427
00:23:59,920 --> 00:24:01,120
Not on stage.

428
00:24:01,360 --> 00:24:02,880
watch likely.

429
00:24:03,040 --> 00:24:04,560
What's unlikely is the full movement.

430
00:24:04,640 --> 00:24:07,200
So maybe the case in hand, but certainly not the full movement.

431
00:24:07,360 --> 00:24:08,240
And all at once.

432
00:24:08,480 --> 00:24:08,980
Yeah.

433
00:24:08,960 --> 00:24:09,920
not not gonna happen.

434
00:24:10,400 --> 00:24:11,120
Yeah, yeah, yeah.

435
00:24:11,280 --> 00:24:18,560
So i again it kinda comes down to this like I'm sure it could do a watch battery pretty easily, just like I could do a watch battery, but th but a lot of the other stuff I would have a hard time.

436
00:24:19,520 --> 00:24:25,040
Unless, you know, I was really given the right tools, then I I might surprise myself on how far I could get along in it.

437
00:24:25,120 --> 00:24:28,720
It's just that I could probably take it apart, but then it wouldn't go back together.

438
00:24:29,040 --> 00:24:29,540
Right.

439
00:24:29,840 --> 00:24:30,340
Gotcha.

440
00:24:30,640 --> 00:24:31,140
Okay.

441
00:24:31,280 --> 00:24:33,200
So that was, you know, very cool.

442
00:24:33,360 --> 00:24:34,960
So these are metrics though.

443
00:24:35,040 --> 00:24:38,640
You do think that this is the like it's i he I think it's

444
00:24:39,120 --> 00:24:44,160
You know what he's doing is he's pushing the goalposts in terms of like, yeah, it's one thing for you to pick and place.

445
00:24:44,320 --> 00:24:45,520
That's not what we're going for.

446
00:24:45,680 --> 00:24:48,480
We're going for a human a a humanoid that is super hum

447
00:24:49,040 --> 00:24:49,540
human.

448
00:24:49,360 --> 00:24:50,640
It can do these things.

449
00:24:50,880 --> 00:24:55,520
That would be impressive if it can do things that human that's what Unit tried to show you.

450
00:24:55,600 --> 00:24:57,040
This thing can lift a car.

451
00:24:57,200 --> 00:24:58,640
If it's true, it'd be cool.

452
00:24:59,040 --> 00:25:01,920
Of those those three things, which is the most practical in your mind?

453
00:25:02,240 --> 00:25:03,040
The switch watch.

454
00:25:03,200 --> 00:25:08,640
I mean obviously the others are just jokes and fun things, but if you can actually you know it's it's

455
00:25:08,960 --> 00:25:10,000
When John Carmack said, right?

456
00:25:10,080 --> 00:25:14,000
It's like, yeah, I don't want you just bring in the thing, I want you to put in the batteries.

457
00:25:14,160 --> 00:25:15,600
Can you really put in the batteries?

458
00:25:15,920 --> 00:25:18,560
Because you know how hard it is for us to like you know.

459
00:25:18,960 --> 00:25:20,800
No, the Costco battery thing.

460
00:25:22,560 --> 00:25:25,760
How do you how do you you try to cut it, the plastic thing?

461
00:25:25,840 --> 00:25:26,480
It's hard.

462
00:25:26,640 --> 00:25:28,640
It's hard or like trying to open the back

463
00:25:41,440 --> 00:25:43,360
And then you can put the batteries in the right order, right?

464
00:25:43,440 --> 00:25:44,960
If you get them if you get the positive and negative

465
00:25:48,800 --> 00:25:51,920
At the end of the day, Elon believes, no no no, this is possible.

466
00:25:52,000 --> 00:25:54,400
It whatever human can do, the bot can do.

467
00:25:54,560 --> 00:25:58,640
And that is why he's designing the hands to be very he talked about it's not.

468
00:25:58,960 --> 00:26:05,120
Not just 22 degrees freedom like everybody else's hands, all the other kind, but no no, he wants skin.

469
00:26:05,280 --> 00:26:08,720
He wants you know the the the ability to do this he pointed out right

470
00:26:08,960 --> 00:26:09,460
Right.

471
00:26:09,760 --> 00:26:17,760
So I just wanted to also show that this these guys are really like th they have the academy.

472
00:26:17,840 --> 00:26:18,640
So you you do a great

473
00:26:23,200 --> 00:26:28,640
Yeah, and I think the last thing to remind everyone is that we already saw two years ago Optimist catch

474
00:26:29,200 --> 00:26:29,700
A tennis ball.

475
00:26:29,840 --> 00:26:38,480
So we know the jug that it can already but yeah, I think that was where the telephone is those who are involved in the development and maintenance of open source software.

476
00:26:39,440 --> 00:26:41,200
According to the FBI and U.

477
00:26:41,360 --> 00:26:41,860
S.

478
00:26:41,520 --> 00:26:48,160
Justice Department, face dealer hackers use fake or hijack social media accounts.

479
00:26:49,280 --> 00:26:58,880
to invite potential victims into video calls hosted over imposter versions of Zoom, Microsoft Teams, and Google Meet.

480
00:27:01,200 --> 00:27:02,000
Shop.

481
00:27:03,280 --> 00:27:04,720
RPM now.

482
00:27:05,360 --> 00:27:07,040
You just don't get it, man.

483
00:27:07,680 --> 00:27:08,560
You say, you know.

484
00:27:09,440 --> 00:27:11,760
bringing dating partners so stupid.

485
00:27:12,000 --> 00:27:16,720
I mean maybe if you're like really trying to win, right?

486
00:27:17,040 --> 00:27:18,160
And then beyond

487
00:27:19,040 --> 00:27:23,200
that I mean chicken had like Beanks as like his one of his partners or whatever.

488
00:27:23,440 --> 00:27:25,840
She gets eliminated, he goes on to win the fifty K.

489
00:27:26,080 --> 00:27:26,960
So it's like

490
00:27:31,040 --> 00:27:33,040
It ultimately didn't hurt him.

491
00:27:59,040 --> 00:27:59,840
And that's a slow pitch.

492
00:27:59,920 --> 00:28:01,280
That was a lava stuff like that.

493
00:28:01,440 --> 00:28:04,960
So we know all these things are are coming and are possible.

494
00:28:05,200 --> 00:28:07,200
And again, the Swiss Army are possible.

495
00:28:17,680 --> 00:28:18,400
If you have twenty

496
00:28:18,960 --> 00:28:22,400
20,000 optimists and they're playing around.

497
00:28:22,560 --> 00:28:25,840
That's how you train them to be that much more precise.

498
00:28:26,000 --> 00:28:28,560
And remember when one bot figures it out, the other bot's

499
00:28:28,960 --> 00:28:29,520
get it right away.

500
00:28:29,600 --> 00:28:33,040
So they're all helping to get better, smarter, smarter, smarter.

501
00:28:33,200 --> 00:28:36,400
this is where they're going to build those 10 to 20,000.

502
00:28:36,480 --> 00:28:38,640
We know we have the free mod factory in California.

503
00:28:39,120 --> 00:28:44,640
That's supposed to do a million robots per year, but like you said, not till 2028 or 2029.

504
00:28:45,200 --> 00:28:48,560
But they'll have 10 or 20,000 coming out of the Fremont factory.

505
00:28:49,200 --> 00:28:52,240
But this is actually the Giga Texas.

506
00:28:52,480 --> 00:28:56,400
In near Giga Texas, this is where the op the Optimus factory is.

507
00:28:56,560 --> 00:28:57,680
It is massive.

508
00:28:57,840 --> 00:28:58,720
And you can see where it's

509
00:28:59,040 --> 00:29:06,800
progression is it's already to the point where Joe Techmar believes it will open in about six months where you can actually put things in it.

510
00:29:06,960 --> 00:29:08,560
So as soon as the

511
00:29:09,680 --> 00:29:18,640
you know it probably won't start building robots for another year or two but it will be housing the academy that's where the 5000

512
00:29:19,120 --> 00:29:20,160
robots could go.

513
00:29:20,400 --> 00:29:23,040
10,000 robots can go and they can start training.

514
00:29:23,440 --> 00:29:23,940
Yes.

515
00:29:23,760 --> 00:29:28,720
And and that's probably a reasonable assumption because again, we we've talked about what do you do with 5,000 bots.

516
00:29:29,040 --> 00:29:31,600
And it requires a l a lot of room and a lot of space.

517
00:29:31,680 --> 00:29:38,560
So either Tesla is renting a lot of warehouse space around Southern California that we're not aware of, for the bots that they're gonna be producing, or

518
00:29:38,960 --> 00:29:44,880
you know they're gonna have to build something internally and I don't think they have that much room in in Palo Alto to be able to do it.

519
00:29:45,200 --> 00:29:48,720
They are being manufactured in Fremont, so I assume they're kind of being housed there.

520
00:29:49,040 --> 00:29:50,720
or very closely for now.

521
00:29:51,120 --> 00:29:54,400
At this point, you know, we don't know how many they have.

522
00:29:54,720 --> 00:29:58,560
I I would say they probably have in the order of a thousand, maybe approaching to

523
00:29:58,880 --> 00:30:01,520
two thousand this point, based on some of the reports of what's coming out.

524
00:30:01,760 --> 00:30:08,560
We don't know if if those are full bodies or not, whether they're just the bodies and they they don't have all the hands yet because they were having subtles of hands.

525
00:30:09,200 --> 00:30:14,080
But based on on the reporting at 250 well, it was several hundred, okay.

526
00:30:14,240 --> 00:30:18,000
And so I'm assuming that several hundred might mean around two fifty a week.

527
00:30:18,960 --> 00:30:19,920
early September.

528
00:30:20,080 --> 00:30:27,760
So they probably are north of a thousand by now, trying to hit five thousand by either the end of the year or the beginning of next year.

529
00:30:27,920 --> 00:30:28,800
That would be

530
00:30:29,120 --> 00:30:32,320
just enough to really start the Alpins Academy that they're going up.

531
00:30:32,480 --> 00:30:37,600
However, it sounds like they're not waiting for them to come around to start doing the data collection.

532
00:30:37,680 --> 00:30:38,480
And that's something you can do

533
00:30:39,200 --> 00:30:48,080
well in advance of them being there to start that flywheel so that when you have the optimize to go in and close at Cinderel Gap, they have actually something to work on.

534
00:30:55,280 --> 00:30:58,640
Yeah you you talked about this so number one we already know that in game

535
00:30:58,960 --> 00:31:04,960
Giga Germany, Kiga Berlin, those staff were interviewed and they said yes, they're actually being trained.

536
00:31:05,200 --> 00:31:08,320
They have to put on, you know, stuff in t equipment.

537
00:31:09,040 --> 00:31:10,640
to show optimists what to do.

538
00:31:10,720 --> 00:31:12,480
So we know that they're doing it in factories.

539
00:31:12,640 --> 00:31:16,000
Then a couple shows ago we showed that there's huge hiring.

540
00:31:16,240 --> 00:31:18,720
Tesla is hiring a lot of people all over the place.

541
00:31:19,440 --> 00:31:23,200
and in US and you said, you know, I think that that's gonna be the service centers.

542
00:31:23,360 --> 00:31:28,560
And Lars Morvey was just interviewed by Munro Live and he confirmed that A, that Optimus

543
00:31:28,880 --> 00:31:37,520
human or robot will be helping to put the chargers into the cyber cabs and the robotaxis to charge them and will help in a service center.

544
00:31:37,600 --> 00:31:38,320
So you're you're hit

545
00:31:38,960 --> 00:31:43,600
you would hit that one out of the park that they're you're gonna use the service centers as ways to train the bots.

546
00:31:44,000 --> 00:31:48,640
Then we know that they they they they're hiring people to put on

547
00:31:49,040 --> 00:31:49,540
equipment.

548
00:31:49,680 --> 00:31:55,200
And what you figured out, I just pointed out earlier, is that they're not just putting on glasses and calling it a day.

549
00:31:55,520 --> 00:31:58,480
No, they're they're like actually being outfitted as if they

550
00:31:58,960 --> 00:31:59,460
are Optimus.

551
00:31:59,600 --> 00:32:05,680
They got the backpack battery, they got the thing so that they're almost like a cosplay as an optimist.

552
00:32:05,840 --> 00:32:08,240
Like every every part of the Optimus is probably around them.

553
00:32:08,320 --> 00:32:08,820
And then

554
00:32:09,040 --> 00:32:10,800
there's a leak here from Robert Scoble.

555
00:32:10,880 --> 00:32:14,080
So Robert Scoble is a well-known tech insider.

556
00:32:14,400 --> 00:32:18,640
He's been covering as a journalist technology since the beginning

557
00:32:19,040 --> 00:32:20,240
in Silicon Valley.

558
00:32:24,160 --> 00:32:24,960
He said this.

559
00:32:25,200 --> 00:32:26,720
Tesla, this is just yesterday.

560
00:32:26,800 --> 00:32:28,640
He said Tesla optimist training regime.

561
00:32:29,120 --> 00:32:30,080
It's a leak.

562
00:32:30,720 --> 00:32:36,320
Workers and its Palo Alto R and D facility have been holding robot university for many months already.

563
00:32:36,560 --> 00:32:38,800
Number one, he's saying this is happening already a long time ago

564
00:32:42,240 --> 00:32:48,560
Workers are wearing twenty four pound suits, this is what you've been saying, with up to forty cameras and grids of three D sensors to keep it.

565
00:32:48,960 --> 00:32:52,400
capture every detailed video in 3D fields of whatever the worker does.

566
00:32:52,640 --> 00:32:54,160
There are multiple configurations.

567
00:32:54,320 --> 00:32:55,920
They are given different tasks to do.

568
00:32:56,000 --> 00:32:57,520
They don't know what the tasks come from.

569
00:32:57,760 --> 00:32:58,560
Multiple squads

570
00:33:08,960 --> 00:33:09,460
cameras.

571
00:33:09,280 --> 00:33:13,600
This leads to a data flywheel that is orders of magnitude more data than the car captured.

572
00:33:13,920 --> 00:33:18,640
Separate teams are capturing home data like making a sandwich at home, like in a house

573
00:33:19,920 --> 00:33:25,280
Like making a sandwich while other teams capture jobs and factory floor like installing HVAC systems in cars.

574
00:33:25,600 --> 00:33:27,040
Elon isn't playing around.

575
00:33:27,200 --> 00:33:28,560
I can't tell you how I learned

576
00:33:31,520 --> 00:33:34,400
So do we trust him because he hears a lot of things?

577
00:33:38,960 --> 00:33:45,360
The information already kinda reported something like this back in September and they they were talking about some of the Alpha suits and that they were wearing backpacks.

578
00:33:45,520 --> 00:33:47,600
They didn't have specifics of how much it weighed.

579
00:33:48,880 --> 00:33:49,600
I heard that.

580
00:33:49,680 --> 00:33:56,080
I said, Oh, okay, this is deja vu and if you go back four years ago we actually saw everyone an outfit exactly like that.

581
00:33:56,240 --> 00:33:58,800
So this may not be exactly what they're wearing because this

582
00:34:01,920 --> 00:34:08,560
But we kind of looked at it and said, wait a minute, they just took the cameras out of the Optimus head and just mounted it onto the Optimus.

583
00:34:07,640 --> 00:34:16,520
Operator and then they probably took all the compute and everything in the back and stuck that on there and said what we want to do is we wanna capture it as if it's the robot.

584
00:34:16,760 --> 00:34:17,260
So there's