tl;dr: Anthropic's Dario Amodei argues that framing AI regulation as a binary between regulatory capture and open distribution is false, noting that well-designed rules can constrain frontier labs while advantaging smaller competitors—citing SB53 and SB1047's revenue exemptions as examples. He contends AI structurally concentrates power due to scaling laws, so open-weights alone can't solve it, and expresses support for the Trump administration's reported approach of pre-deployment testing for frontier models plus a FINRA-like oversight entity.