Anthropic CEO: open-weight models risky, but not calling for ban

Amodei's clarification arrives amid broader debate over how the US should regulate open-weight models. His position is nuanced: he accepts that some open models create public benefit while maintaining that capable ones pose distinct risks compared to closed alternatives. His reasoning centers on the irreversibility of released models—once distributed, they cannot be recalled—and the absence of safeguards that closed-model operators can enforce. The imbalance he emphasizes is particularly stark for biological threats, where defensive measures lag far behind offensive capabilities in timeline.

The credibility of Amodei's arguments is anchored in his track record: he has previously warned about the capabilities of his own models, warnings that contributed to a US ban, indicating consistency in his risk framing rather than opportunistic positioning. However, critics interpret his stance differently, suggesting that Anthropic's public caution about open weights may also serve its business interests by discouraging cheaper open-source competition. The letter signed by major tech companies opposing US restrictions on Chinese open-weight models, alongside reports that OpenAI continues lobbying against open weights despite signing that same letter, suggests the industry's stated positions do not always align with its lobbying efforts.