This is always the dividing line in the debate and the place where folks talk past each other. Under normal circumstances people expect “human level” intelligen

This is always the dividing line in the debate and the place where folks talk past each other. Under normal circumstances people expect “human level” intelligence to be coupled with human level autonomy; but task focused AI often produces super human performance on that specific task with very little autonomy. Moreover, ML has historically been very brittle compared to the generalization humans provide. A machine that reads addresses might be 10x better than a person, but it may not be worth it if you can’t do things like say “we don’t even sort the blue envelopes—there’s a specific rule for those” like you could with a human. (The specific case here is irrelevant—humans can handle arbitrary variation on the rules infinitely better than a bare CNN.) It’s this ability to cope with human-level ambiguity that has so much potential in LLMs. But even they don’t work like people—giving it a new rule could make it worse at all other tasks with no explanation as to why.