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Nathan Lambert — Interconnects

About #

ML researcher at the Allen Institute for AI (Ai2) who leads post-training work and has authored prominent open-model research including OLMo, Tulu 2/3, RewardBench, Zephyr-Beta, and the Open LLM Leaderboard, and wrote the first RLHF textbook. Through Interconnects he provides technical, insider-level analysis of frontier AI lab economics, training methods, and reasoning models, positioned against industry hype. A leading voice on the open-vs-closed model ecosystem, including geopolitical dynamics.

How this journal works #

Checked every 4 days: each new post or episode in Nathan Lambert’s own feeds (newsletter, podcast) becomes one entry, dated by publication and summarised in a few bullets.

Entries