2026-04-23 20:07 UTC
Immediately after the big announcements about Mythos there were followups by other teams that were able to find most of the same vulnerabilities with other existing models. I think the main takeaway there was that it's just a matter of actually *looking*. Anthropic's advantage may have been in the framework that let them do so in industrial-scale quantity rather than the cleverness of the particular model they used.
This sort of security scan is still new and important to pay attention to, but it's not something that's unique to Anthropic or that can be kept "contained." Shades of how [GPT-2 was considered "too dangerous to release"](https://techcrunch.com/2019/02/17/openai-text-generator-dangerous/) back when it first appeared. Comical in hindsight, and impossible to prevent anyway.
Replies (1)
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@General_Effort@lemmy.world 2026-04-24 08:56
> followups by other teams that were able to find most of the same vulnerabilities with other existing models The one I saw was marketing hype by a company claiming to be able to do the same thing but cheaper. But when you read the fine print, you could tell that it was all just fudged. It's comical how people who *need* to believe that it's all just marketing hype bought that marketing hype hook, line, and sinker. The implication that this would mean that LLMs are far, far more capable than anyone gives them credit for, completely slipped past them. Stochastic parrots with no understanding.