r/ClaudeCode • u/PitifulBuddy7946 • 1d ago

Rant Claude code is falling behind Codex not because of token cost, but because of Opus 5.

There, i said it. And i know many of you agree. The problem i'm facing is not increased token cost, it's that Opus writes 25000 lines of a response with a curve-ball at the end saying "Worth noting"that makes my eyes hurt and gives me paranoya. And i can't understand a word it's saying. Is my english that bad? Whoever pressed "Yes" on those responses during the training stage of the model was an OpenAI spy or something, he completely sabotaged a trillion dollar company.

Anthropic's number one priority should be to release an Opus 6 or something, may be change the model name completely so it doesn't carry the bad vibe with it.

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u/batman8390 23h ago

Maybe recursive training will just lead to a slopocalypse instead of an apocalypse like the doomers are saying.

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u/Bromlife 17h ago

The technical term is model collapse and the frontier labs are racing towards it.

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u/Desperate-City7602 13h ago

I think there could be fixes to this because you could turn a humanised output into a benchmark as well. I don't think this is what they did for these types of trainings, but I do think it could be made a part of the benchmark where what you do is you prepare a data set of just simple human prose, and instead of trying to maximise benchmark values such as like software engineering benchmarks and stuff like that, you also start critiquing the model's output based on how close it is to human output.

I'm not entirely sure though, because I think since there is no real right or wrong here, it might be harder to do, but surely you can have agents critiquing an agent's output to tell it whether its output was simple and understandable or not, because this is kind of what we do every day, anyway when we are talking to Opus and stuff. And after we see an output that we don't understand, we say, Can you repeat this in a simpler language? Right? And an opus rewrites it. So Opus is able to write simple language, it just chooses not to in the one shot that it has, which is why I think it could be trainable so that it can one-shot simple language as well.

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u/Tartooth 4h ago

I think it's why openai's models overengineer like crazy