Nathan Lambert publishes 50+ article reading list on open models and open-source AI
natolambert · x · 2026-09-13
Nathan Lambert, author of Interconnects, has published a curated reading list of 50+ of the best articles and resources on open models and open-source AI from recent years, compiled while preparing public-audience and policy-facing writing, and updated as of Sep 13, 2026.
The list is organized thematically:
- Foundation: how open-source AI strategy works (Bill Gurley, May 2026), Zuckerberg's rationale for open-sourcing Llama (Jul 2024), Irene Solaiman's framing of open models as a gradient rather than binary based on licenses, compute cost, and data access (Feb 2023), and Lambert's own piece on open models powering custom enterprise agentic workflows (Mar 2026).
Lambert invites comments suggesting additions and plans to keep the list updated, aiming to give readers a comprehensive overview of the state of open models.
Related event: Nathan Lambert Curates 50+ Must-Read Articles on Open AI(2 posts)→
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