• jarfil@beehaw.org
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    9 months ago

    Try getting them to even open a door

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

    BTW, that is a rudimentary neural network.

    • noxfriend@beehaw.org
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      9 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
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        9 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.