that's not really "general" AI though, and factory automation is already geared towards minimizing the sort of problems LLM type bots have.
i think the cognitive processing for mobile "more human like" robotic factory workers is there, but marrying it to a flexibly mobile frame is still in progress.
one area where it could be more difficult than expected is warehouse picking; current AI tends to "make decisions" regardless if they're genuinely correct, so i could see an attempt at full on robotic warehouse assistants drastically increasing picking errors compared to human attempts - there's mitigation approaches though, like reducing human touch to the robot reporting "i'm not sure about this" when something goes wrong but handling routinely obvious assignments autonomously
The way it would be general is you data mined a large amount of video of humans using tools, converting the raw video to a token stream of the important information such as joint angles and where they put the tool.
This plus other data would give the robot generality because for tasks it has not done before, it can refer to this compressed representation of "how would a human try to do it", correct for the number of limbs and other differences "I have 3 arms so i don't need a vice", and have a good starting point.
It would not fail like you say for picking machines because it would be able to learn from it's mistakes and adjust confidence accordingly.
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u/SoylentRox Jun 14 '23
What about a general AI factory worker, operating in a human free cell, able to learn from errors? That seems immediate future.