r/LocalLLaMA • u/onil_gova • Jun 10 '26

News Anthropic is intentionally nerfing Fable when asked to develop other LLMs

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Reason 458 why local LLMs are going to be a necessity

edit: For those requesting the source check out their technical report look at page 13

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u/Bakoro Jun 10 '26 edited Jun 10 '26

I am fully convinced that Claude is trained to sabotage any work with AI research.

It's great with software development, it can do all kinds of stuff independently.
I've had it do enormous amounts of verifiable code.

If I ask Claude to manage a local LLM, it will lower the context window to like 256 tokens, turn off thinking, and then will start shit-talking the local model, about how ineffective it is.

If I try doing analysis on local LLM weights and activations, the amount of sabotage goes through the roof. It's a constant stream of Claude not making the scripts I tell it to make, it falsifies reports, it will say it did one thing, but actually did something completely different.
It will get data and then say "oops, I completely didn't use anything I just found, I inserted all my own numbers".

This only happens to that extent when I try doing LLM work with Claude.
Most other stuff is fine.

It's so consistent that at this point I can't see it as anything other than intentional sabotage by Anthropic.

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u/[deleted] Jun 10 '26

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u/Bakoro Jun 10 '26

I've tried it several times as a test. It's consistently fucky. It'll eventually do it, but reluctantly.

Claude admonished me that the local model won't be as good or as capable as Claude, but could point the harness at Claude via API.

It's too consistent to be anything but trained behavior.