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Robotics is one area where it is painfully obvious how inadequate the current static weight paradigm is. Biological brains are extremely good continual learner
by imtringued 1y ago
Robotics is one area where it is painfully obvious how inadequate the current static weight paradigm is.
Biological brains are extremely good continual learners. They don't need to be trained ahead of time at all for basic motor skills. They'll learn on their own and sharing information merely speeds the process up.
There is no such thing as a data problem. The scaling paradigm isn't obsolete because it doesn't work, it's obsolete because it appears to be wholly unnecessary.
Think about it, why the hell would it be necessary for every single person wanting a robot butler in the house to take a video of their kitchen and then blend it with tens of thousands of other kitchens, just so the robot knows your specific kitchen in and out? The other kitchens are irrelevant to you. You don't care about them.
- traverseda 1y agoYou'd expect someone who's never seen a kitchen before to be able to cook?
- refulgentis 1y agoA persistent strain of thought assumes static robotics models are useless unless they're trained on the exact environment they operate in, and I'm not sure why. That aside, arguments from handwaving about biology are extremely weak - this is the same proof structure used to explain that because we only have two eyes, a machine only needs 2 cameras to drive a car safely. It wants you to forget everything that happens after the light hits the retina, and difference between an always-wet lens that's cleared every second or two and a camera. i.e. it's a noble goal to have some model that never saw a kitchen also be an expert chef, but, there's no logical reason to claim that'd ever be the case.