▲ | K0balt 5 days ago | |||||||
LLMs are limited because we want them to do jobs that are not clearly defined / have difficult to measure progress or success metrics / are not fully solved problems (open ended) / have poor grounding in an external reality. Robotics does not suffer from those maladies. There are other hurdles, but none are intractable. I think we might see AI being much, much more effective with embodiment. | ||||||||
▲ | jazzyjackson 5 days ago | parent | next [-] | |||||||
do you know how undefined and difficult to measure it is to load silverware into a dishwasher? | ||||||||
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▲ | chrisco255 5 days ago | parent | prev [-] | |||||||
What? Robotics will have far more ambiguity and nuance to deal with than language models, and they'll have to analyze realtime audio and video to do so. Jobs are not so clearly defined as you imagine in the real world. For example, explain to me what a plumber does, precisely and how you would train a robot to do so? How do you train it to navigate ANY type of buildings internal plumbing structure and safely repair or install for? | ||||||||
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