Open-Source AI Reading List: Get Up to Speed on Open Models

Open-Source AI and Open Models Reading List

Nathan Lambert curates a reading list on open-source AI and open models, covering foundations, business strategy, safety, and US-China competition. It includes Meta's Llama rationale, the gradient of openness, economics of open vs. closed models, and Chinese models like Kimi K3 and GLM-5.2. The post does not disclose specific model benchmarks or policy recommendations but offers a comprehensive set of references and perspectives.