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  1. Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust (Explained)

    Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust (Explained)

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  2. GPT-4 is here! What we know so far (Full Analysis)

    GPT-4 is here! What we know so far (Full Analysis)

    11
  3. [YTalks] Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)

    [YTalks] Siraj Raval - Stories about YouTube, Plagiarism, and the Dangers of Fame (Interview)

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  4. How to make your CPU as fast as a GPU - Advances in Sparsity w/ Nir Shavit

    How to make your CPU as fast as a GPU - Advances in Sparsity w/ Nir Shavit

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  5. [ML News] Multiplayer Stable Diffusion | OpenAI needs more funding | Text-to-Video models incoming

    [ML News] Multiplayer Stable Diffusion | OpenAI needs more funding | Text-to-Video models incoming

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  6. The New AI Model Licenses have a Legal Loophole (OpenRAIL-M of BLOOM, Stable Diffusion, etc.)

    The New AI Model Licenses have a Legal Loophole (OpenRAIL-M of BLOOM, Stable Diffusion, etc.)

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    1
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  7. Tree of Thoughts: Deliberate Problem Solving with Large Language Models (Full Paper Review)

    Tree of Thoughts: Deliberate Problem Solving with Large Language Models (Full Paper Review)

    15
  8. [ML News] Nvidia renders CEO | Jurassic-1 larger than GPT-3 | Tortured Phrases reveal Plagiarism

    [ML News] Nvidia renders CEO | Jurassic-1 larger than GPT-3 | Tortured Phrases reveal Plagiarism

    68
  9. [ML News] DeepMind does Nowcasting | The Guardian's shady reporting | AI finishes Beethoven's 10th

    [ML News] DeepMind does Nowcasting | The Guardian's shady reporting | AI finishes Beethoven's 10th

    46
  10. ALiBi - Train Short, Test Long: Attention with linear biases enables input length extrapolation

    ALiBi - Train Short, Test Long: Attention with linear biases enables input length extrapolation

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  11. Neural Networks are Decision Trees (w/ Alexander Mattick)

    Neural Networks are Decision Trees (w/ Alexander Mattick)

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    47
  12. CICERO: An AI agent that negotiates, persuades, and cooperates with people

    CICERO: An AI agent that negotiates, persuades, and cooperates with people

    5
    1
    60
  13. [ML News] NVIDIA GTC'21 | DeepMind buys MuJoCo | Google predicts spreadsheet formulas

    [ML News] NVIDIA GTC'21 | DeepMind buys MuJoCo | Google predicts spreadsheet formulas

    21
  14. How Apple scans your phone (and how to evade it) - NeuralHash CSAM Detection Algorithm Explained

    How Apple scans your phone (and how to evade it) - NeuralHash CSAM Detection Algorithm Explained

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  15. Self-driving from VISION ONLY - Tesla's self-driving progress by Andrej Karpathy (Talk Analysis)

    Self-driving from VISION ONLY - Tesla's self-driving progress by Andrej Karpathy (Talk Analysis)

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  16. Autoregressive Diffusion Models (Machine Learning Research Paper Explained)

    Autoregressive Diffusion Models (Machine Learning Research Paper Explained)

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    132
  17. [ML News] De-Biasing GPT-3 | RL cracks chip design | NetHack challenge | Open-Source GPT-J

    [ML News] De-Biasing GPT-3 | RL cracks chip design | NetHack challenge | Open-Source GPT-J

    19
  18. Did Google's LaMDA chatbot just become sentient?

    Did Google's LaMDA chatbot just become sentient?

    64
  19. Open Assistant Inference Backend Development (Hands-On Coding)

    Open Assistant Inference Backend Development (Hands-On Coding)

    26
  20. Yann LeCun - Self-Supervised Learning: The Dark Matter of Intelligence (FAIR Blog Post Explained)

    Yann LeCun - Self-Supervised Learning: The Dark Matter of Intelligence (FAIR Blog Post Explained)

    33
  21. Topographic VAEs learn Equivariant Capsules (Machine Learning Research Paper Explained)

    Topographic VAEs learn Equivariant Capsules (Machine Learning Research Paper Explained)

    41
  22. Symbolic Knowledge Distillation: from General Language Models to Commonsense Models (Explained)

    Symbolic Knowledge Distillation: from General Language Models to Commonsense Models (Explained)

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  23. [ML News] New ImageNet SOTA | Uber's H3 hexagonal coordinate system | New text-image-pair dataset

    [ML News] New ImageNet SOTA | Uber's H3 hexagonal coordinate system | New text-image-pair dataset

    69
  24. ROME: Locating and Editing Factual Associations in GPT (Paper Explained & Author Interview)

    ROME: Locating and Editing Factual Associations in GPT (Paper Explained & Author Interview)

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  25. Efficient Streaming Language Models with Attention Sinks (Paper Explained)

    Efficient Streaming Language Models with Attention Sinks (Paper Explained)

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