language: videos

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1. 1▶The ShopRadio Atlas28:19Notes
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2. 2▶The ShopRadio Atlas28:19Notes
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3. 3▶Everything Has Its Own StoryRadio Atlas3:13Notes
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4. 4▶Everything Has Its Own StoryRadio Atlas3:13Notes
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5. 5▶Coding a text editor in Odin and Raylib on Raspberry Pi 4 that talks to Odin Language ServerContext FreeNotes
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6. 6▶Has He Been Standing There All Along?Radio Atlas4:46Notes
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7. 7▶Has He Been Standing There All Along?Radio Atlas4:46Notes
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8. 8▶Attis in CaledonRadio Atlas20:02Notes
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9. 9▶Attis in CaledonRadio Atlas20:02Notes
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10. 10▶Juror No. 10Radio Atlas56:21Notes
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11. 11▶Juror No. 10Radio Atlas56:21Notes
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12. 12▶Benchmarking LuaJIT vs Odin speed on Raspberry Pi and Intel, plus Python and Rust!Context FreeNotes
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13. 13▶10 Years of Radio AtlasRadio Atlas38:47Notes
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14. 14▶10 Years of Radio AtlasRadio Atlas38:47Notes
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15. 15▶Just the Three of UsRadio Atlas3:40Notes
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16. 16▶Just the Three of UsRadio Atlas3:40Notes
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17. 17▶MondayRadio Atlas7:06Notes
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18. 18▶MondayRadio Atlas7:06Notes
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19. 19▶Yay Yay Conf raffle at Palmilla ValleyLambda WorldNotes
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20. 20▶LindaRadio Atlas4:29Notes
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21. 21▶LindaRadio Atlas4:29Notes
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22. 22▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 15: Mid/Post-TrainingStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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23. 23▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 14: DataStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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24. 24▶When did computers peak? Commodore 64 vs Raspberry Pi 4 vs ...Context FreeNotes
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25. 25▶MIT 6.S191: Secrets of Massively Parallel TrainingAlexander AminiNotes
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26. 26▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 13: Data (Sources, Datasets)Stanford CS336: Language Modeling from Scratch | Spring 2026Notes
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27. 27▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 12: EvaluationStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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28. 28▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 11: Scaling LawsStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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29. 29▶No More ShameRadio Atlas6:58Notes
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30. 30▶No More ShameRadio Atlas6:58Notes
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31. 31▶MIT 6.S191: AI for ScienceAlexander AminiNotes
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32. 32▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 10: InferenceStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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33. 33▶MIT 6.S191: The Three Laws of AIAlexander AminiNotes
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34. 34▶Cross-language *libraries* with Temper: Interview with Mike Samuel, Shaw Summa, and Tom PalmerContext FreeNotes
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35. 35▶MIT 6.S191: Language Models and New FrontiersAlexander AminiNotes
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36. 36▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 9: Scaling LawsStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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37. 37▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 8: ParallelismStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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38. 38▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 7: ParallelismStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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39. 39▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 6: Kernels, Triton, XLAStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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40. 40▶MIT 6.S191: Reinforcement LearningAlexander AminiNotes
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41. 41▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 5: GPUs, TPUsStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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42. 42▶MIT 6.S191: Deep Generative ModelingAlexander AminiNotes
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43. 43▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 4: Attention AlternativesStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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44. 44▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 3: ArchitecturesStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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45. 45▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 2: PyTorch (einops)Stanford CS336: Language Modeling from Scratch | Spring 2026Notes
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46. 46▶Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 1: Overview, TokenizationStanford CS336: Language Modeling from Scratch | Spring 2026Notes
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47. 47▶MIT 6.S191: Convolutional Neural NetworksAlexander AminiNotes
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48. 48▶MIT 6.S191: Recurrent Neural Networks, Transformers, and AttentionAlexander AminiNotes
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49. 49▶MIT Introduction to Deep Learning | 6.S191Alexander AminiNotes
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50. 50▶I BUILT A FULLY AUTOMATIC MANSPLAINERYannic KilcherNotes
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