Anthropic CEO Dario Amodei clarifies Anthropic's stance on open AI models
He reveals Anthropic has never backed banning open-weight AI models
Anthropic CEO Dario Amodei said the artificial intelligence company has never supported banning open-weight AI models, responding to criticism that it wants tighter control over the technology.
In a blog post published Monday, Amodei clarified Anthropic's position after a coalition of technology companies urged US policymakers to avoid placing "premature restrictions" on open-weight AI models.
Amodei clarifies Anthropic's position
"To summarize my and Anthropic's position, we have not and are not advocating for a ban on open-weights models as a category," Amodei wrote.
Instead, he said policymakers should focus on preventing advanced AI chips from reaching authoritarian governments, stopping large-scale AI model distillation and requiring safety testing for sufficiently capable AI models, whether open or closed.
Anthropic develops the proprietary Claude family of AI models. Rival OpenAI, which also primarily develops closed models, later signed the industry letter, while Anthropic did not.
Debate over open AI models continues
The industry letter, signed by companies including Nvidia, Microsoft, Meta and Palantir, argued that concerns about unlawful AI model distillation should be addressed through targeted legal and commercial measures rather than restrictions on open-weight models.
Amodei said he agreed with that approach and also supported claims that open-weight models can expand access to AI technology, increase customer control and strengthen competition.
However, he disagreed with suggestions that open-weight models inherently benefit cyber defenders more than attackers or make it easier to develop safety protections.
Focus should remain on AI safety
Amodei reiterated that Anthropic does not support banning open-weight AI models.
"Protectionist bans would not address my most serious national security concerns," he wrote.
His comments come as governments and AI companies continue debating how best to regulate increasingly powerful artificial intelligence systems while balancing innovation, competition and security.