Nathan Lambert and Kevin Xu argue against restricting open-source AI development. They contend that closed-model mandates stifle transparency and academic scrutiny. This policy shift would concentrate power among a few corporations. Researchers lose the ability to audit weights, which directly impairs the development of robust AI safety protocols and independent verification.