Pop culture has spent its entire existence conflating AGI and ‘Physical AI’, so much so that the collective realization that they’re entirely different is a relatively recent thing. Both of them were so far off in the future that the distinction wasn’t worth considering, until suddenly one of them is kinda maybe sorta roughly here now…ish.

Artificial General Intelligence says nothing about physical ability, but movies with the ‘intelligence’ part typically match it with equally futuristic biomechanics to make the movie more interesting. AGI = Skynet, Physical AI = Terminator. The latter will likely be the hardest part, not only because it requires the former first, but because you can’t just throw more watts at a stepper motor and get a ballet dancer.

That said, I’m confident that if I could throw zero noise and precise “human sensory” level sensor data at any of the top LLM models, and their output was equally coupled to a human arm with the same sensory feedback, that it would definitely outdo any current self-driving car implementation. The physical connection is the issue, and will be for a long time.

Agreed about the conflation. But that drives home that there isn't some historic commonly and widely accepted definition for AGI whose goal posts are being moved. What there was doesn't match the new developments and was also often quite flawed to begin with.

> LLM models, ... outdo any current self-driving car

How would an LLM handle computer vision? Are you implicitly including a second embedding model there? But I think that's still the wrong sort of vision data for precise control, at least in general.

How do you propose to handle the model hallucinating? What about losing its train of thought?