basic

Pick anything below and it plays in the bar at the foot of the window — and keeps playing while you go on browsing the directory.

1. 1▶Word Processors in BASIC, Part 1The People's Permacomputer ProjectNotes
   +Watch later
2. 2▶Transcribing handwritten diary entries into Day OneSpoken Like a GeekNotes
   +Watch later
3. 3▶Home-made Random DigitsWe Saw a Chicken …Notes
   +Watch later
4. 4▶SKETCH.BASThe People's Permacomputer ProjectNotes
   +Watch later
5. 5▶GOBLINS.BAS Live Coding SessionThe People's Permacomputer ProjectNotes
   +Watch later
6. 6▶Watch Me Code A Procedurally Generated Game in BASIC!The People's Permacomputer ProjectNotes
   +Watch later
7. 7▶Do You Know What You've Lost?The Snap ForwardNotes
   +Listen later
8. 8▶The Hidden Climate Advantages of Being YoungThe Snap ForwardNotes
   +Listen later
9. 9▶AtmosphericBrio2:33:59Notes
   +Listen later
10. 10▶AtmosphericBrio2:33:59Notes
    +Listen later
11. 11▶Fractal of clave sonBrio7:00Notes
    +Listen later
12. 12▶Fractal of clave sonBrio7:00Notes
    +Listen later
13. 13▶Fractal of basic rhythmsBrio7:00Notes
    +Listen later
14. 14▶Fractal of basic rhythmsBrio7:00Notes
    +Listen later
15. 15▶Modern dramaBrio6:00Notes
    +Listen later
16. 16▶Counting rhythmsBrio3:43Notes
    +Listen later
17. 17▶Modern dramaBrio6:00Notes
    +Listen later
18. 18▶Counting rhythmsBrio3:43Notes
    +Listen later
19. 19▶IndustrialBrio2:00Notes
    +Listen later
20. 20▶Twelve-tone canonBrio1:16Notes
    +Listen later
21. 21▶IndustrialBrio2:00Notes
    +Listen later
22. 22▶Twelve-tone canonBrio1:16Notes
    +Listen later
23. 23▶UofT GenAI Course -- Lecture 14: Maximum Likelihood LearningUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
24. 24▶UofT GenAI Course -- Lecture 13: Explicit Distribution Learning - SamplingUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
25. 25▶UofT GenAI Course -- Lecture 12: Naive Bayes -- Most Basic Generative ModelUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
26. 26▶UofT GenAI Course -- Lecture 11: Discriminative vs Generative LearningUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
27. 27▶UofT GenAI Course -- Lecture 10: Generic Problem of Data Generation -- Basic DefinitionsUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
28. 28▶UofT GenAI Course -- Lecture 9: Prompt Design for Task-specific Sampling from LLMsUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
29. 29▶UofT GenAI Course -- Lecture 8: Statistical View on Fine-Tuning and LoRAUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
30. 30▶UofT GenAI Course -- Lecture 7: Pre-training and Fine-tuningUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
31. 31▶UofT GenAI Course -- Lecture 6: Examples of LLMs -- Size, Data and Practical ConsiderationsUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
32. 32▶UofT GenAI Course -- Lecture 4: Extracting Language Context by Self-AttentionUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
33. 33▶UofT GenAI Course -- Lecture 5: LMs -- Transformer-based LMsUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
34. 34▶UofT GenAI Course -- Lecture 2: LMs -- Definition and Basic Bi-Gram ModelUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
35. 35▶UofT GenAI Course -- Lecture 3: Context-Aware LMs --Recurrent LMsUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
36. 36▶UofT GenAI Course -- Lecture 1: LMs -- Tokenization and EmbeddingUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
37. 37▶UofT GenAI Course -- Lecture 0: Course Overview and LogisticsUofT -- Deep GenAI Course -- Summer25Notes
    +Watch later
38. 38▶The magic of NotebookLM (and my first podcast)Brett's Random MusingsNotes
    +Listen later
39. 39▶Lesson 13: Principles of Data Science by Mohammad Hajiaghayi: Data Science Ethics and Best PracticesPrinciples of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
40. 40▶Lesson 12: Principles of Data Science by Mohammad Hajiaghayi: Information VisualizationPrinciples of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
41. 41▶Lesson 10: Principles of Data Science by Mohammad Hajiaghayi: Entity Resolution, Missing DataPrinciples of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
42. 42▶Lesson 9: Principles of Data Science by Mohammad Hajiaghayi: Data Wrangling and CleaningPrinciples of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
43. 43▶Lesson 8: Principles of Data Science by Mohammad Hajiaghayi: Data Modeling, SQL & NoSQLPrinciples of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
44. 44▶Lesson 7: Principles of Data Science by Mohammad Hajiaghayi: Data Modeling & Computation ToolsPrinciples of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
45. 45▶Lesson 6: Principles of Data Science by Mohammad Hajiaghayi: Data Collection and Loading ToolsPrinciples of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
46. 46▶Lesson 5: Principles of Data Science by Mohammad Hajiaghayi: Basic Statistics and ML AlgorithmsPrinciples of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
47. 47▶Lesson 4: Principles of Data Science by Mohammad Hajiaghayi: Basic Concepts and Tools, Part 2Principles of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
48. 48▶Lesson 3: Principles of Data Science by Mohammad Hajiaghayi: Basic Concepts and Tools, Part 1Principles of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
49. 49▶Lesson 2: Principles of Data Science by Mohammad Hajiaghayi: Introduction and Further MotivationsPrinciples of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later
50. 50▶Lesson 1: Principles of Data Science by Mohammad Hajiaghayi: Introduction to Data SciencePrinciples of Data Science Course by Mohammad HajiaghayiNotes
    +Watch later