Stanford HAI: Science Needs Truly Open Source AI, Not Just Open Weights
StanfordHAI · x · 2026-08-14
James Landay, Denning Director at Stanford HAI, argues that nearly every major architectural leap in modern AI stems from published research. As frontier models move behind closed doors, the foundation for upcoming researchers is at risk.
The article highlights that Chinese open-weight models (like DeepSeek, Alibaba's Qwen, and Moonshot's Kimi K3) are rapidly closing the performance gap with top U.S. models at lower costs. Landay suggests that policymakers should look beyond open weights and advocate for truly open-source AI to benefit science and society.
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