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Nerdcast Is All You Need

PODCAST · technology

Nerdcast Is All You Need

AI Podcast for AI Nerds--Created with NotebookLM

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  1. 57

    Era_of_Experience

  2. 56

    [Research] The Era of Experience

  3. 55

    [Product] Llama4-Natively Multimodal AI

  4. 54

    [Nature] Google DeepMind DreamerV3

  5. 53

    [Research] Meta MoCha

  6. 52

    [Product] GPT-4o Native Image Generation

  7. 51

    [Research] Gemini Robotics

  8. 50

    [Research] GSM-∞

  9. 49

    [Research] AI CUDA Engineer

  10. 48

    [Research] Mixture of Block Attention

  11. 47

    [Research] NSA

    Natively Trainable Sparse Attention for Long Contexts

  12. 46

    [Research] LIMO: Less is More

  13. 45

    [Research] S1: Simple Test-Time Scaling

  14. 44

    [Blog] Reward Hacking

  15. 43

    [Research] Kimi K1.5

    Kimi K1.5 - Scaling Reinforcement Learning with LLMs

  16. 42

    [Research] DeepSeek-R1

    DeepSeek-R1: Reasoning via Reinforcement Learning

  17. 41

    [Ebooks] The Founders

  18. 40

    [Ebooks] Life After Google

  19. 39

    [Ebooks] Cryptonomicon

  20. 38

    [Ebooks]The Hard Thing About Hard Things

  21. 37

    [Ebooks] The Sovereign Individual

    Peter Thiel's Book Recommendations

  22. 36

    [Ilya's reading list] Kolmogorov Complexity and Algorithmic Randomness

  23. 35

    [Ilya's reading list] A Tutorial Introduction to the MDL Principle

  24. 34

    [Ilya's reading list] Scaling Laws for Neural Language Models

  25. 33

    [Ilya's reading list] Deep Speech 2

  26. 32

    [Ilya's reading list] Neural Turing Machines

  27. 31

    [Ilya's reading list] The Coffee Automaton

  28. 30

    [Ilya's reading list] Relational recurrent neural networks

  29. 29

    [Ilya's reading list] VARIATIONAL LOSSY AUTOENCODER

  30. 28

    [Ilya's reading list] A simple neural network module for relational reasoning

  31. 27

    [Ilya's reading list] Identity Mappings in Deep Residual Networks

  32. 26

    [Ilya's reading list] NEURAL MACHINE TRANSLATION

  33. 25

    [Ilya's reading list] Neural Message Passing for Quantum Chemistry

  34. 24

    [Ilya's reading list] MULTI-SCALE CONTEXT AGGREGATION BY DILATED CONVOLUTIONS

  35. 23

    [Ilya's reading list](ResNet)Deep Residual Learning for Image Recognition

  36. 22

    [Ilya's reading list] GPipe

  37. 21

    [Ilya's reading list] Order matters: sequence to sequence for sets

  38. 20

    [Ilya's reading list] ImageNet Classification with Deep CNNs

  39. 19

    [Ilya's reading list] Pointer Networks

  40. 18

    [Ilya's reading list] Keeping NN Simple by MDL

  41. 17

    [Ilya's reading list] RNN Regularization

  42. 16

    [Ilya's reading list] Understanding LSTM Networks

  43. 15

    [Ilya's reading list] The Unreasonable Effectiveness of RNNs

  44. 14

    [Ilya's reading list] The First Law of Complexodynamics

  45. 13

    [Ilya's reading list] The Annotated Transformer

    Ilya sutskever gave john carmack this reading list of approx 30 research papers and said, "If you really learn all of these, you’ll know 90% of what matters today."

  46. 12

    [MultiModal] MAE

  47. 11

    [MultiModal] CLIP

  48. 10

    [MultiModal] ViT

  49. 9

    GPT-o1

  50. 8

    GPT-4o

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ABOUT THIS SHOW

AI Podcast for AI Nerds--Created with NotebookLM

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HiTechK

CATEGORIES

technology
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