Authors Nathan Lambert and Kevin Xu argue that restricting open-source AI development stifles critical safety research. Closed-source models create a dangerous knowledge monopoly. This lack of transparency prevents independent auditors from identifying systemic vulnerabilities. Practitioners must maintain open access to ensure a diverse, verifiable security landscape for all future model architectures.