Open release of GLM-5.3 yields no major attacks yet, defying Anthropic's high cyber‑risk warnings and dampening bans push
anthropic
| Source: Techmeme | Original article
GLM-5.3's open release has not yet led to major attacks, despite Anthropic's warnings of Mythos‑level cyber risk, weakening arguments for banning open models.
GLM‑5.3, the latest large language model from the Chinese AI lab, has been released with fully open weights. The rollout has so far not triggered the large‑scale cyber incidents that Anthropic warned could arise from a “Mythos‑level” risk profile. Anthropic’s advisory, which warned that the model’s openness could make it a potent tool for malicious actors, has been used by some policymakers to argue for bans on open‑source AI. The absence of any reported major attacks since GLM‑5.3’s debut undercuts those calls, suggesting that the relationship between openness and immediate threat may be more nuanced.
The debate touches on broader questions of ideology and trade‑offs in AI development. Proponents of open models argue that transparent weights enable independent auditing, innovation, and community‑driven safety research. Critics counter that the same transparency can lower barriers for weaponisation, especially when a model is described as having “Mythos‑level” cyber risk—a term Anthropic uses to denote a high potential for misuse.
What to watch next are the early signals from security researchers and industry watchdogs. If the model remains unexploited, it could bolster the case for keeping advanced AI openly available, while any future breach would likely revive bans and stricter export controls. Regulators in Europe and North America are also monitoring the situation, and the next few months may see new guidelines on responsible publishing of open‑weight models. The unfolding story will test whether openness can coexist with robust safeguards in the rapidly evolving AI landscape.
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