Author Nathan Lambert argues that banning open-source AI models stifles essential transparency and security audits. Closed systems concentrate power and hide critical flaws from public scrutiny. This approach limits the ability of independent researchers to verify safety claims. Practitioners must fight for open weights to ensure a competitive and verifiable AI ecosystem.