• jarfil@beehaw.org
    link
    fedilink
    arrow-up
    1
    ·
    11 months ago

    Try getting them to even open a door

    For now there is: AI vs. Stairs, you may need to wait for “AI vs. Doors” for a future video 🤷

    BTW, that is a rudimentary neural network.

    • noxfriend@beehaw.org
      link
      fedilink
      arrow-up
      2
      ·
      11 months ago

      I’ve seen a million of such demos but simulations like these are nothing like the real world. Moravec’s paradox will make neural nets look like toddlers for a long time to come yet.

      • jarfil@beehaw.org
        link
        fedilink
        arrow-up
        1
        ·
        11 months ago

        Well, that particular demo is more of a cockroach than a toddler, the neural network used seems to not have even a million weights.

        Moravec’s paradox holds true because of two fronts:

        1. Computing resources required
        2. Lack of formal description of a behavior

        But keep in mind that was in 1988, about 20 years before the first 1024-core multi-TFLOP GPU was designed, and that by training a NN, we’re brute-forcing away the lack of a formal description of the algorithm.

        We’re now looking towards neuromorphic hardware on the trillion-“core” scale, computing resources will soon become a non-issue, and the lack of formal description will only be as much of a problem as it is to a toddler… before you copy the first trained NN to an identical body and re-training costs drop to O(0)… which is much less than even training a million toddlers at once.