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    Figure 03, our 3rd generation humanoid robot

    (www.figure.ai)
    392 points lairv | 11 comments | 09 Oct 25 13:27 UTC | HN request time: 0.208s | source | bottom
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    HAL3000 ◴[09 Oct 25 14:59 UTC] No.45528648[source]▶
    All of the examples in videos are cherry picked. Go ask anyone working on humanoid robots today, almost everything you see here, if repeated 10 times, will enter failure mode because the happy path is so narrow. There should really be benchmarks where you invite robots from different companies, ask them beforehand about their capabilities, and then create an environment that is within those capabilities but was not used in the training data, and you will see the real failure rate. These things are not ready for anything besides tech demos currently. Most of the training is done in simulations that approximate physics, and the rest is done manually by humans using joysticks (almost everything they do with hands). Failure rates are staggering.
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    pizzathyme ◴[09 Oct 25 16:31 UTC] No.45529962[source]▶
    How does this square with the video where they showed it running continuously for an hour doing an actual Amazon package sorting job? https://www.youtube.com/watch?v=lkc2y0yb89U
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    1. dust42 ◴[09 Oct 25 16:48 UTC] No.45530162[source]▶
    > How does this square with the video where they showed it running continuously for an hour doing an actual Amazon package sorting job? https://www.youtube.com/watch?v=lkc2y0yb89U

    The video shows several of glitches. From the comments:

      14:18 the Fall
  28:40 the Fall 2
  41:23 the Fall 3
    Also many of the packages on the left are there throughout the video.

    But then I think lots of this can be solved in software and having seen how LLMs have advanced in the last few years, I'd not be surprised to see these robots useful in 5 years.

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    2. tyre ◴[09 Oct 25 17:12 UTC] No.45530438[source]▶
    Three mistakes in an hour isn’t terrible, especially if that’s the last generation. As another commenter put it, this is the worst it’s ever going to be.
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    3. Razengan ◴[09 Oct 25 20:00 UTC] No.45532346[source]▶
    > But then I think lots of this can be solved in software and having seen how LLMs have advanced in the last few years, I'd not be surprised to see these robots useful in 5 years.

    Would asking the robot for a seahorse emoji leave you in a puddle of blood?

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    4. dust42 ◴[09 Oct 25 20:55 UTC] No.45532981[source]▶
    Thinking about it, I am sure it is only a matter of time until a self driving car or a robot will be used to kill a human. Or on a lower level for a DDoS attack - all cars/robots going to the white house.
    replies(1): >>45534081 #
    5. kevin_thibedeau ◴[09 Oct 25 23:26 UTC] No.45534081{3}[source]▶
    > self driving car or a robot will be used to kill a human

    They already have. We just don't hold the perpetrators accountable.

    replies(1): >>45534128 #
    6. rkomorn ◴[09 Oct 25 23:37 UTC] No.45534128{4}[source]▶
    I think "has been used to kill" is a more serious accusation than "accidentally killed" (even if due to recklessness).

    What case(s) are you thinking of?

    7. fragmede ◴[10 Oct 25 08:29 UTC] No.45536539[source]▶
    > this is the worst it’s ever going to be.

    People keep parroting this line, but it's not a given, especially for such an ill-defined metric as "better". If I ask an LLM how its day was, there's no one right answer. (Users anthropomorphizing the LLM is a given these days, no matter how you may feel about that.)

    replies(1): >>45538022 #
    8. IanCal ◴[10 Oct 25 10:44 UTC] No.45537320[source]▶
    I was confused by this because I assumed the robot fell over a few times - these are times that one of the piled up packages falls off or is a bit knocked off behind the robot (the second one seems to be knocked off by the elbow?).
    9. tim333 ◴[10 Oct 25 12:09 UTC] No.45538022{3}[source]▶
    Yeah but for things like packets dropped per hour there will probably be improvement.
    10. tim333 ◴[10 Oct 25 12:12 UTC] No.45538046[source]▶
    Now there's an idea for Terminator 7.
    11. godelski ◴[10 Oct 25 19:35 UTC] No.45542857[source]▶
    I only watched for 5 minutes, at double speed, but I saw a lot more than 3 mistakes fwiw