Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. Nathan is the post-training lead at the Allen Institute for AI (Ai2) and the author of The RLHF Book. Sebastian Raschka is the author of Build a Large Language Model (From Scratch) and Build a Reasoning Model (From Scratch).
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Mentioned Books
- “Apple in China” by Patrick McGee
- “Build a Large Language Model from Scratch by Nathan Lambert”
- “Build a Reasoning Model from Scratch by Nathan Lambert”
- “Reinforcement Learning from Human Feedback by Nathan Lambert”
- “Season of the Witch by David Talbot
- “The Bitter Lesson by Richard Sutton (Essay)”
- “The Scaling Laws of Reinforcement Learning with Human Feedback” by Nathan Lambert (Essay)
- Based on the podcast transcript, here are the books and essays that are clearly referenced or implied:
- Other mentions like Nathan’s “Starlight Jeffbook” and references to “social choice theory” from economics are not specific enough to infer exact titles
- The transcript contains no explicit or clearly implied references to specific books or essays. The mention of “excellent books” by the guests is too vague, and the Einstein quote is a standalone remark, not a title. Themes discussed (AI, future society, human agency) are not tied to any identifiable written works