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Can one suggest a good explation why? The model is trained and stays "as is". So why? Does opensi uses users rating (thumb up/down) for fine tuning or what?
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AI trains on available content.
The new content since AI contai s a lot of AI - created content.
It's learning from its own lack of fully understood reality, which is degrading its own understanding of reality.
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GPT is a pretrained model, "pretrained" is part of the name. It assumed to be static.
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There is no gpt5, and gpt4 gets constant updates, so it's a bit of a misnomer at this point in its lifespan.
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It's possible to apply a layer of fine-tuning "on top" of the base pretrained model. I'm sure OpenAI has been doing that a lot, and including ever more "don't run through puddles and splash pedestrians" restrictions that are making it harder and harder for the model to think.
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They don’t want it to say dumb things, so they train it to say “I’m sorry, I cannot do that” to different prompts. This has been known to degrade the quality of the model for quite some time, so this is probably the likely reason.
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more users means less computing power per user
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Hm... Probably. I read something about chatgpt tricks in this area. Theoretically, this should impact web chat, not Impact API (where you pay for usage of the model).
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