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Levie (2026-06-28) claims 'mythos level' cybersecurity models will soon be open…

2026-06-28 · 15:23 UTC ·@levie ·1 min read

Brief

Levie (June 28, 2026) warns that imminently open 'mythos level' cyber-security models will spawn alternative tech stacks and shift economic/control leverage away from the US; he says withholding models won’t make the US safer and instead risks asymmetric disadvantage, and points to a Polymarket claim that Zhipu AI matches Claude Mythos at bug-finding as proof China can catch up.

Why it matters

Levie (2026-06-28) claims 'mythos level' cybersecurity models will soon be open and available to anyone, which will enable alternative tech stacks that shift economic value and control away from the US tech stack.

Key details

  • He argues that gatekeeping advanced models (not releasing them) won’t improve security or strategic position if such models become public anyway, and that creating gates asymmetrically disadvantages the gatekeepers versus staying at the frontier and driving future AI architectures.
  • Polymarket reports a new Chinese model from Zhipu AI reportedly matches Claude Mythos’ performance at finding security bugs, which Levie cites as evidence China can catch up and that regulators should not assume China will fall behind.
Source evidence

It should be 100% obvious that there will soon be mythos level models on cyber security that are open and available to anyone. As a byproduct of this, alternative tech stacks will emerge that also drive more economic value and control away from the US’s tech stack.

This is what should be considered when thinking through the gate keeping you want to have in AI. If advanced models will become open and available regardless, then by not allowing the release of models you’re neither more secure nor better off strategically.

So much of the regulatory approach to AI has to assume China can’t catch up, when all current evidence suggests they can and are. And further, hard to imagine a higher priority than winning in AI for China; so you’re basically betting against their long term ingenuity, talent and motivation. Seems like a bad bet.

So your options are either to create gates around your best models, which means you’re asymmetrically disadvantaging yourself, or you work to ensure you’re always at the frontier and driving the future architectures of AI.

Polymarket (@Polymarket)

JUST IN: A new Chinese AI model from Zhipu AI reportedly matches Claude Mythos’ performance at finding security bugs.

— https://nitter.net/Polymarket/status/2071039148484378891#m