Open source AI development prevents a small group of corporations from controlling critical model weights. Nathan Lambert and Kevin Xu argue that restrictive licensing stifles transparency and security audits. This approach ensures researchers can scrutinize vulnerabilities. Practitioners gain essential access to base models without relying on proprietary black-box APIs.