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robots0only

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Tue, Jun 24, 2025, 8:59 PM UTC
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17 items

About robots0only

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Recent public activity

  1. comment
    Comment #48330533

    Any robot that does this reliably is easily more than a decade away.

  2. comment
    Comment #47402741

    From your early point -- both 1) and 2) are true. True human level dexterity is ver far (few decades surely), it would require further advancements in hardware, learning approaches…

  3. comment
    Comment #47071418

    here is a real video of a unitree robot playing ping pong https://www.youtube.com/watch?v=tOfPKW6D3gE

  4. comment
    Comment #46240400

    how do you know this is a better model? I wouldn't take any of the numbers at face value especially when all they have done is more/better post-training and thus the base pre-train…

  5. comment
    Comment #46238851

    This is probably very similar to what happened!

  6. comment
    Comment #46000258

    the problem here is that text as the communication interface is not good for this. the model should be reasoning in the pose space (and generally in more geometric spaces), then in…

  7. comment
    Comment #45532009

    How are you defining dextrous? I think it can be somewhat challenging but not dextrous -- the robot doesn't need to be very precise (few cms here and there do not matter), there ar…

  8. comment
    Comment #45531038

    Locomotion and manipulation are pretty different. The former we know how to do well -- this is what you see in unitree videos. Manipulation still not so much. This is not at all li…

  9. comment
    Comment #45529653

    Here you can see another much simpler robot folding clothes for far longer: https://www.youtube.com/watch?v=gdeBIR0jVvU (there are more videos from other companies as well) To answ…

  10. comment
    Comment #45529335

    +100!!! Please don't fall for the HYPE. The current best neural networks only have around 60% success rates for small horizon tasks (think 10-20 seconds e.g. pick up apple). That i…

  11. comment
    Comment #45454591

    In all of these posts there is someone claiming Claude is the best, then somebody else claiming they have tried a bunch of times and for them Gemini is the best while others find G…

  12. comment
    Comment #45389792

    so their way to differentiate against frontier labs is to try writing research blog posts (not papers). It will be interesting to see how this plays out. I don't think that anyone …

  13. comment
    Comment #45339369

    This paper was just too overhyped by the authors. Also, the initial evals were very limited and very strange. This blog post does a much better job at a similar observation -- goes…

  14. comment
    Comment #45213990

    and so is the safety margin for a humanoid. The consumer market is huge only if the robots are highly reliable and work very well both of which are not true at the moment. Things w…

  15. comment
    Comment #45031587

    Claude is extremely poor at vision when compared to Gemini and ChatGPT. i think anthropic severely overfit their evals to coding/text etc. use cases. maybe naively adding browser u…

  16. comment
    Comment #44869912

    The 1 million robot number that Amazon keeps on using is a quite nuanced. It includes more ~800K robots that simply just move stuff in a 2D plane. I think the number of robots that…

  17. comment
    Comment #44371002

    ohh wow, that's bad, just tried this with Gemini 2.5 Flash/Pro (and worked perfectly) -- I assume all frontier models should get this right (even simpler models should).