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0 pointscypress663y ago0 comments

This is mostly semantics I think, of what the actual definition of AGI is.

You would probably need a multi modal AI that could do natural language, vision, and control of the robot. At that point it's probably as smart as a dog or any animal other than humans. And maybe you could argue there isn't any fundamental difference between dog level ai and human level ai, it's just a "scaled up" version.

I think what you mention though is more like gluing an LLM with the current stack. But I doubt that will ever be enough, you probably need a multi modal model.

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jameshart3y ago

I don’t think it’s just ‘semantics’ unless you believe that AGI can be achieved by stitching together LLM prompts under some sort of ‘executive planning’ expert system.

I don’t think that produces anything like AGI, but it does let you build out of components that can tackle much fuzzier problems than typical computer programs can, like ‘figuring out what a human means’ and ‘identifying which things identified by an image classifier in an image of a complex environment might be relevant to a task’, or ‘summarizing the plan so far back to a human to get it approved’.

fnbr3y ago

If you can stitch something together though, you can start to get the data you need to train an end-to-end model. And once you get that at any reasonable level of proficiency, you should see the ML flywheel spinning. The hard part is stitching everything together.

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