Summaries
Short AI and tech summaries with source links, signal scores, and why each update matters for builders, founders, and Malaysian tech workers.
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| Date | Provider | Score | Summary |
|---|---|---|---|
| 10 Aug 2026, 9:02 PM | Interconnects | 6.5 | 5 useful things you'll learn in my new post-training textbook (shipping now!)
Nathan Lambert's post-training textbook 'Reinforcement Learning from Human Feedback: Aligning and Post-training LLMs' is now published by Manning and freely available online, accompanied by a 12-hour video course, slides, a codebase with exercises, and model comparison examples. It covers topics like rejection sampling, outcome reward models, and character training at a foundational level, targeting readers with a CS background rather than beginners. The print edition is 50% off until August 19 with code PBLambert. Why: If you're an AI/ML learner or developer moving from model usage to model fine-tuning, the free online book plus 12-hour course gives you a structured path into RLHF and post-training techniques that are otherwise thinly documented. The 50% discount code expires Aug 19, so decide before then if you want the print version. |