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thefp.com2026-04-16

How Dangerous Is Anthropic’s New AI Model? Its Chief Science Officer Explains.

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So Anthropic has decided that the best way to handle a model they themselves call a 'culmination' of AI reasoning and scientific capabilities is to release it to only 40 corporations under the cuddly-sounding 'Project Glasswing'. Jared Kaplan, the chief science officer, explains this isn't about hiding the toy—oh no—it's about 'analyzing capabilities and preparing countermeasures'. Because when you've built something so advanced that you need to pre-plan the countermeasures, the obvious move is to hand it to a select club of global giants who definitely won't find any... creative applications. It's like selling a new strain of smallpox to only the world's top biotech firms for 'research purposes'—what could possibly go wrong?

The model, dubbed Claude Mythos, is positioned as the pinnacle of general capabilities in software engineering and scientific research, which is precisely the sort of dual-use toolkit that makes regulators break out in a cold sweat. But fear not, because Anthropic has thoughtfully limited access to 'leading corporations'—a group whose track record on responsible innovation includes such hits as 'move fast and break things' and 'ask forgiveness, not permission'. The idea that these entities will dutifully analyze threats and not, say, integrate Mythos into their own competitive arms races is the kind of optimistic fiction that would make a PR intern blush.

This follows the pattern we highlighted with their previous release, where Anthropic admitted Opus didn't advance the frontier compared to the then-unreleased Mythos—a bit of foreshadowing we noted. Now that Mythos is real, they've swapped incrementalism for a velvet-rope exclusivity model that does nothing to address the core issue: if it's dangerous enough to require 'countermeasures', maybe don't give it to anyone until you've actually built those countermeasures. But that would require a level of restraint apparently incompatible with staying relevant in the AI hype cycle. Cheers to progress, one carefully managed catastrophe at a time.

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