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this post was submitted on 03 Dec 2023
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Keep in mind, though, AI progress is often more like punctuated equilibrium.
Each new approach gets you much further, and polishing each approach gets you slight improvements until the next approach comes along. Improvements to chatgpt might plateau until the next big breakthrough architecture. Or maybe not.
Without the base model changing at all, research into better use of the models has, depending on the measurement, gone from around 35% success rates to 85% success rates.
I wouldn't define that as slight.