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None of those other LLM tooling made the claims they're too dangerous to be released and used though, unlike Anthropic did with Mythos.

What it highlights, is that Mythos doesn't seem so much better than other LLM driven tooling at finding security issues, which was the strongest claim Anthropic made in the first place.

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People love defending Anthropics shortcomings…

“Mythos isn’t supposed to be that good at security, because actually Anthropic was referring more about running llms than mythos specifically”

“The opus model is worse because they have no compute because they are training mythos. The degraded performance is justified!”

“All the bugs in Claude code is just because the models are so good they are just looping and are shipping fast”

Constantly see people crawl out of the woodwork to defend a trillion dollars company overhyping every press release it gives

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Actually, OpenAI made a similar claim about one of their GPT models a while ago…

Funnily enough that was while Dario Amodei was their research director.

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