There's a joke I first heard in the early 90s: "True AI is 10 years in the future and has been for the last 30." I suspect we'll be in exactly the same place:

There's a joke I first heard in the early 90s: "True AI is 10 years in the future and has been for the last 30." I suspect we'll be in exactly the same place: incremental improvements in LLMs, but the corner case failures will be perceived as significant enough to preclude widespread adoption. Maybe we'll go back to the "neural network winter" of the 80s and 90s where "anti-hype" seemed to make research into CNNs unfashionable. Or maybe industry will deploy LMMs widely and just cope with their flaws.