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

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’.