Comment by Amos Toh

The primary goal of such regulation is to ensure that frontier models meet stringent safety standards before they are launched on the public market. But this would not address the conditions that triggered the recent hacks: namely, when developers and their trusted partners deploy models that are not intended for broad public use, either because they come with experimental capabilities or deliberately fewer guardrails. [...] A more realistic approach would be to establish a gold standard for how developers and partners should handle risk, depending on what AI activity they are engaged in, and limit privileged deployment to those who meet this standard. [...] Biosafety-style risk assessments ensure privileged deployers dial up the level of mitigation to match the elevated risks of any given activity.