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  1. IM 884: Cyber Jim - Why Critical Infrastructure Depends on Obsessive Code ReviewsIntelligent Machines (Video)2:35:33Notes
  2. Intelligent Machines 884: Cyber JimTotal Leo (Video)2:35:33Notes
  3. Windows Weekly 997: Bear Swamp & The BoathouseTotal Leo (Video)2:30:32Notes
  4. Security Now 1092: Restraint AbliterationTotal Leo (Video)2:49:05Notes
  5. MacBreak Weekly 1038: The Silicon-Controlled RectifierTotal Leo (Video)2:29:36Notes
  6. This Week in Tech 1097: Gina and the GlueballsTotal Leo (Video)2:55:48Notes
  7. Krokodil, 1972Far Out CompanyNotes
  8. IM 883: Gates-Gate - AI Model WatermarksIntelligent Machines (Video)2:35:27Notes
  9. Intelligent Machines 883: Gates-GateTotal Leo (Video)2:35:27Notes
  10. Windows Weekly 996: Security Through Lack of FeaturesTotal Leo (Video)2:21:57Notes
  11. Security Now 1091: The Post BlackHat State of AITotal Leo (Video)2:51:12Notes
  12. MacBreak Weekly 1037: Mechanical DonutTotal Leo (Video)2:39:44Notes
  13. This Week in Tech 1096: Fluff for ArmorTotal Leo (Video)2:48:18Notes
  14. Everybody Rides the Carousel, 1976Far Out CompanyNotes
  15. Security Now 1090: Black HatTotal Leo (Video)2:05:11Notes
  16. Windows Weekly 995: The Greatest DepressionTotal Leo (Video)2:43:45Notes
  17. IM 882: AI Rubberz? - From Fart Apps to AI Agents The Journey of a Tech RulemakerIntelligent Machines (Video)2:29:59Notes
  18. Manson’s Hand-Embroidered VestFar Out CompanyNotes
  19. IM 881: Curtains for Zoosha? - Why Newsrooms Must Rethink Journalism in the AI AgeIntelligent Machines (Video)2:08:48Notes
  20. Talk: Modelling Multimodal Human Cognition with VLMs (Raquel Fernández)LxMLS Lisbon Machine Learning SchoolNotes
  21. Lecture 6: Vision and Language (Desmond Elliott / Bruno Martins)LxMLS Lisbon Machine Learning SchoolNotes
  22. Talk: Dynamic Sparse Attention at Scale (Marcos Treviso)LxMLS Lisbon Machine Learning SchoolNotes
  23. Lecture 5: Causality (Adèle Ribeiro)LxMLS Lisbon Machine Learning SchoolNotes
  24. Lecture 4: Transformers and Large Pretrained Models (André Martins)LxMLS Lisbon Machine Learning SchoolNotes
  25. Talk: The ladder of intelligence (Eric Xing)LxMLS Lisbon Machine Learning SchoolNotes
  26. IM 880: The Beans are in the Mail - Can American AI Compete When China Gives It Away?Intelligent Machines (Video)2:38:40Notes
  27. Lecture 3: Introduction to Sequence Models (Noah Smith)LxMLS Lisbon Machine Learning SchoolNotes
  28. Talk: The Fiction Machine (Leon Bottou)LxMLS Lisbon Machine Learning SchoolNotes
  29. Lecture 2: Introduction to Deep Learning (Bhiksha Raj)LxMLS Lisbon Machine Learning SchoolNotes
  30. Lecture 1: Learning with Linear Models (Mário Figueiredo)LxMLS Lisbon Machine Learning SchoolNotes
  31. The Model Couple, William KleinFar Out CompanyNotes
  32. Donovan, Cornwall, 1967Far Out CompanyNotes
  33. IM 879: Alex Karp, Alex Karp, Alex Karp - Beyond Fable: Are Open Models Ready for Prime Time?Intelligent Machines (Video)2:24:26Notes
  34. Alex Damian - Understanding Optimization in Deep Learning with Central FlowsOne world theoretical machine learningNotes
  35. Felix Dennis, Oz MagazineFar Out CompanyNotes
  36. Vashti Bunyan, 1977Far Out CompanyNotes
  37. Donovan Presents Father Yod, 1977Far Out CompanyNotes
  38. IM 878: The 1AM Bus to Chinatown - Robots, Bison, and the Art of Savoring Small StuffIntelligent Machines (Video)3:05:44Notes
  39. Big Sur Scenes, 1972Far Out CompanyNotes
  40. Minshuo Chen - Unlocking Adaptive Generative Decision-Making with Diffusion ModelsOne world theoretical machine learningNotes
  41. IM 877: Model Now Available - The Race for Smarter, Freer AI ModelsIntelligent Machines (Video)2:47:26Notes
  42. IM 876: It's No Melania - Section 230 on TrialIntelligent Machines (Video)2:44:51Notes
  43. IM 875: Florida Dad - Amazon, Anthropic, and the AI Power StruggleIntelligent Machines (Video)2:15:12Notes
  44. Tizian Wenzel: On the optimal shape parameter for kernel methods and beyondOne world theoretical machine learningNotes
  45. Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 8 - Trending TopicsStanford CME296: Diffusion & Large Vision ModelsNotes
  46. Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 8 - Trending TopicsLarge Language Models (LLMs)Notes
  47. Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 7 - EvaluationStanford CME296: Diffusion & Large Vision ModelsNotes
  48. Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 7 - EvaluationLarge Language Models (LLMs)Notes
  49. Nicolas Boffi - Flow map language modelsOne world theoretical machine learningNotes
  50. MIT 6.S191: Secrets of Massively Parallel TrainingAlexander AminiNotes