GPT-6 Astra on robot arms

(openai.robocurve.org)

42 points | by Anon84 1 hour ago

3 comments

  • scronkfinkle 34 minutes ago
    LLM's are a funny technology because on the one hand this is all undeniably impressive at the rate of what's changed from them, and yet despite that I find myself disappointed by the lack of breakthroughs for things I don't find interesting. I like math and programming, and LLM's are pretty good at it, when are they going to get good at folding laundry for me? I think a lot of robotics work promises to solve this category of "boring" breakthroughs, and I'm optimistic we'll be able to achieve it, i just wonder when
    • rileymat2 1 minute ago
      Unless we spend a bunch of money generating data, I can't imagine the machine steps to fold laundry are very big in the general training sets. Someone is going to have to find a hardware system, cheap enough to make it economically feasible then train it. As far as tasks people will pay a lot of money for a robot, this seems low on the list.
    • fooker 21 minutes ago
      The bottleneck is not really the intelligence here.

      We can build robots that do the things you want. Arrange a visit to Amazon's robot warehouse tour.

      We can't ship them because they break all the time with current technology. It would be a tough sell to have to being in a 100kg robot for servicing every few weeks.

      This was cars in the first several decades of automobiles. The tide shifted as soon as you could just drive the car to a neighborhood dealership for servicing. It's fun to imagine the logistics of that for robots but the material science and engineering has to advance a bit.

      • parineum 15 minutes ago
        I don't think we can build a robot that takes a pile of crumpled up clothes from the dryer and folds them (reliably without destroying any of them).
    • dyauspitr 30 minutes ago
      Pretty soon. Sunday Robotics had a 3 hour stream of folding clothes with 99% accuracy. You can watch it for yourself. There’s a lot of “hand” companies with very compelling videos just over the last two months. Then there was Figure’s multi day livestream of package manipulation that was very impressive. Physical LLMs are definitely coming. Given enough training data we know LLMs can output coherent data in any space, it’s just a matter of time.
  • drakenot 23 minutes ago
    Are LLMs going to eventually become the architecture that powers self-driving cars?

    Seeing them play Portal and other video games, I'm curious if they will eventually help solve that last N% of self-driving.

    • Aboutplants 17 minutes ago
      Fast forward to me sitting at a Green Light waiting for my usage to reset for the week so I can get to where I’m going
    • kakugawa 8 minutes ago
      It's not a coincidence that Waymo started becoming viable after GPT-3.
    • ac29 20 minutes ago
      GPT-6 is multimodal, LLMs alone have no vision capability
      • wyager 12 minutes ago
        "LLM" is now in practice a superset of "LMM"
    • simonw 15 minutes ago
      I remain worried about prompt injection style attacks against self-driving cars.

      Imagine if someone finds a weird image pattern that gets misinterpreted as instructions and hangs that off a bridge over a freeway.

  • sudo_cowsay 37 minutes ago
    The limitations that they state shouldn't really make much of a impact. But it was nice of them (and not to mention, real unbiased research) to mention those. Kudos to them!
    • judge2020 27 minutes ago
      I enjoy hearing that they were ran on medium effort.