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I think the writing is on the wall. There don't seem to be any arguments beyond the trivial observation that things could slow down. But they haven't slowed down. New models keep surpassing us (in some cases the whole human race) dramatically in new areas of greater generality, while their "weaknesses" also improve dramatically. It's hard to imagine where a fully multi-modal model, with long context, and a sense of information confidence, and ability to manage its own notes/whiteboard information, will not exceed us. On top of improving in all the areas it already outdoes us. People are working on each of those improvements right now. (By fully multi-modal I mean text, audio, image, video, simulated and real physics, touch, motor control, team communication, software/internet access, and whatever other senses or decision forms are helpful.) I don't see a general AI vastly smarter than any one of us, or all of us together, taking longer than 2030-2033 time frame. |
But...they have.
How many stories have there been about how GPT-3 and GPT-4 have gotten worse over the period they've been out?
And it's not like we got GPT-3, and then GPT-4, and then, within the same time frame, GPT-5 with a similar increase in quality.
Sure, people are working on more improvements, but they're not here yet, and while that doesn't mean they will never come, it does mean that, compared to what appeared to be a rapid rush of "AI" progress, things have slowed down.
"Progress is still being made" and "progress has slowed down compared to the speed that generated all the hype" are not incompatible statements.