Co-authors Nathan Lambert and Kevin Xu argue that banning open-source AI development would cripple technical transparency. Restricting access to weights prevents independent safety audits and slows academic iteration. This policy shift would consolidate power among a few closed-model providers. Researchers need open access to verify claims and ensure model alignment.