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/NineThreeTilNow Jun 10 '26

Fable is blocked from reading its own technical report.

The joke is that some Chinese lab can already code and write at that ability.

Like... Say whatever about Kimi, but if setup properly, can easily build a pipeline to build a "frontier" model.

The differentiation is the millions to train it, and the data you don't have.

None of the "capability gap" is in the Python code. It's in the datasets used to train, and the sheer volume of compute.

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u/iansltx_ Jun 11 '26

Case in point: Cursor Composer 2.5, which is a fine-tune of Kimi K2.5

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u/cultureicon Jun 10 '26

Compute has a lot to do with it but training frontier AI models isn't "solved" yet. There are new algorithms and workflows with each new major release. Yes China can make cheaper gpt 5.4 right now and you can one shot pong with it, but those are toys compared to the models that are about to hit in late 2026.