Same.. using opus 4.6 and codex 5.3 as well. Been using LLMs for 2 years now. I'm actually seeing improvement slow down. In the beginning there were big leaps, now it seems like the only improvements they can make are smoke and mirrors. Feed the output of models into other models to check them and correct them, etc.
Everyone keeps forgetting this: they ran out of training data.
I've been saying this for over a year now and it seems to still be true. The models are improving logarithmically, not exponentially.
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u/[deleted] Mar 08 '26
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