Co-authors Nathan Lambert and Kevin Xu argue that restricting open-source AI development stifles critical safety research. Closed-source models create a transparency vacuum that hinders independent auditing. This policy shift would concentrate power among a few corporations. Researchers need open weights to identify vulnerabilities and build robust alignment frameworks before deployment.