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Their words
The fact that we don't have swarms of drones prefabbing houses in the relatively benign atmosphere of our planet should be evidence that maybe these claims aren't quite matched with reality.
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20 September
16 September
15 September
14 September
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Their words
The greater lesson I think we will learn is that a general humanoid robot is not going to be that useful.
6 September
4 September
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Their words
There is also a very important step called randomization. Is that you have to take the same environment and then randomize the conditions. So, the cable doesn't literally only, you know, uh bend this way. It can bend a different way or the box can have different sizes, colors, different lids, and all that.
3 September
2 September
31 August
29 August
28 August
26 August
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Their words
The other thing I'd say is that most organizations don't know what they want. They don't know how to make it better. They're not bottlenecked on implementation. They're bottlenecked on ideas. They're bottlenecked on vision. They're bottlenecked on taste. And if you don't have those element in excess of your implementational capacity, it doesn't help. So you can make a lot of shitty ideas come true, then what?
25 August
12 August
From one piece Chelsea Finn: This is the State of the Art in Robotics 5 beliefs, in the piece's order there
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Their words
Now maybe this isn't completely out of the question but this would be quite challenging uh to do and that's because the calculus is a little bit different. We're not just running compute to optimize for a use case. We're actually running the robot in the real world and using the hardware and attempting the task in the real world.
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Their words
we see that the across the board the single PIO like pre-trained PIO7 model matches or outperforms the fine-tuned specialists that were developed with reinforcement learning post-training for those downstream tasks.
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Their words
without metadata prompting when you add lower quality data from 80% data to 100% data the performance actually decreases which is perhaps not too surprising because you're adding lowquality data to your data mixture whereas with the metadata prompting the performance actually increases when you add that lowquality data
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Their words
and trying to fold two boxes together isn't useful data that will teach the model how to get better at the task. And so that would be kind of wasting a lot of time on the robot attempting to go down the wrong path for solving the problem. And so instead of spending a lot of time trying to do that task, what we'll do is we'll actually have a human intervene and show the robot what to do and how to recover from that situation.
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Their words
kind of going back to this reliability question, we took this policy and we ran it not just once, but we ran it for 13 hours straight. Uh and we basically wanted to evaluate is this policy not only good at making a latte once, but can it do so reliably to the extent that it would be needed to be useful in the real world?
10 August
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Their words
It will probably be economically shrewd to lose money on early robot models in anticipation that the data they gather will be worth more later in improving newer versions.
7 August
6 August
3 August
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Their words
Given the high cost of errors, you need to have a very high level of safety and a very high level of confidence on day one before you deploy your first robot, before you drive your your first autonomous mile.
4 June
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Their words
It might be that every robot now can turn into, you know, 100 robots next year, right? So, in units of robots the interest rate is 10,000%.
13 May
11 March
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korrents.com
You cannot be an exceptional game designer without playing enormously, and a bad game teaches as much as a great one.Their words
And the weirdest part about it is you’re not just looking for the greatest hits. You learn just as much from a shitty game that you do from an amazing game.
12 February
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Their words
But I don't want to, like, pull that down because every time someone made the first pull request is a win for our society, you know? Like, it… Like, it doesn't matter how, how shitty it is, y- you gotta start somewhere.
From one piece Speed Can Reindustrialize America 2 beliefs, in the piece's order there
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Their words
The robot arm base case saves some hourly labor at the expense of adding more skilled labor, and can easily be negative if it needs reprogramming more than a few times per year.
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korrents.com
An industrial robot does not replace labour, it shifts labour from hourly workers to scarce skilled ones.Their words
The key is that robot arms are not labor-replacing, but labor-shifting.
12 September 2025
From one piece Fully autonomous robots are much closer than you think – Sergey Levine 5 beliefs, in the piece's order there
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Their words
But the reason why it's not the most important thing for the kind of skills that you saw when you visited us, it at some level I think it comes back to Moravik's paradox. So Morovik's paradox is basically that it's like you know if you know one thing about if you want to know one thing about robotics it's like that's that's the thing. Morovik's paradox says that basically uh in AI the easy things are hard and the hard things are easy.
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Like now, like basically learning is not for these systems is not just learning from raw actions. It's also learning from words eventually be learning from observing what people do from the kind of natural feedback that you receive when you're doing a job together with somebody else.
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Their words
And I think we'll see the same thing with automation where uh basically robot plus human is much better than just human or just robot. Uh and and that just like makes total sense. It also makes it much easier to get all the technology bootstrapped because when it's robot plus human, now there's a lot more potential for the robot to like actually learn on the job, acquire new skills.
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Their words
And when you make a mistake and correct it, well, first you you've achieved the task because you've corrected, but you've also gained knowledge that allows you to avoid that mistake in the future. With driving, because of the dynamics of how it's set up, it's very hard to make a mistake, correct it, and then learn from it because the mistakes themselves have significant ramifications.
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Uh but it uh I think we kind of like know like roughly the puzzle pieces and it's something that we need to work on and I think if we work on it and we're a bit lucky and everything kind of goes as planned I think single digit is reasonable.
10 September 2025
23 July 2025
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Their words
But it seems like you can understand it through passive observation, which is pretty surprising to me. And again, I think hints at something underlying about the nature of reality in my opinion, beyond just the cool videos that it generates.
9 July 2025
2 June 2025
29 May 2025
6 April 2025
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korrents.com
A humanoid robot is the wrong tool on a factory floor, because a machine specialised in the task beats it.Their words
They are not useful in industrial environments where, if a humanoid robot can do it, an industrial machine which is specialized in the task can do it even better.
22 December 2024
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korrents.com
Large language models will not get to real agency, because a mind has to be embedded in a world through a body.Their words
But they said, "Look, in the end, actually the only way to actually get a real brain in the VAT is actually to have a brain in a body." And it could be a robot body, but you still need a brain in the body. So I don't think LLMs will get there because they can't. You really need to be embedded in a world, at least that's the E-four idea.
9 November 2023
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Their words
Because you think of how many electric motors are made in the world. There’s like tens of thousands, hundreds of thousands of electric motor designs. None of them were suitable for a humanoid robot, literally none.
12 October 2022
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Their words
Hence, the necessity of shitty first drafts.
22 March 2022
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korrents.com
Oil demand will fall mainly because petrol cars get driven less, not because they are replaced by electric ones.Their words
Falling consumer oil demand looks much more like driving the Camry 6000 miles per year instead of 12,000 miles rather than a shiny new electric car in every garage or robot taxis swarming everywhere.
14 December 2020
15 July 2020
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