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  1. GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton's Paper Explained)

    GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton's Paper Explained)

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  2. Do As I Can, Not As I Say: Grounding Language in Robotic Affordances (SayCan - Paper Explained)

    Do As I Can, Not As I Say: Grounding Language in Robotic Affordances (SayCan - Paper Explained)

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  3. 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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  4. FNet: Mixing Tokens with Fourier Transforms (Machine Learning Research Paper Explained)

    FNet: Mixing Tokens with Fourier Transforms (Machine Learning Research Paper Explained)

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  6. Memory-assisted prompt editing to improve GPT-3 after deployment (Machine Learning Paper Explained)

    Memory-assisted prompt editing to improve GPT-3 after deployment (Machine Learning Paper Explained)

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  7. This Week in Crypto: Cardano, $600m Hack, ETFs & More!! 📰

    This Week in Crypto: Cardano, $600m Hack, ETFs & More!! 📰

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  8. OpenAI tackles Math - Formal Mathematics Statement Curriculum Learning (Paper Explained)

    OpenAI tackles Math - Formal Mathematics Statement Curriculum Learning (Paper Explained)

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  10. Efficient and Modular Implicit Differentiation (Machine Learning Research Paper Explained)

    Efficient and Modular Implicit Differentiation (Machine Learning Research Paper Explained)

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  11. Pretrained Transformers as Universal Computation Engines (Machine Learning Research Paper Explained)

    Pretrained Transformers as Universal Computation Engines (Machine Learning Research Paper Explained)

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  12. EfficientZero: Mastering Atari Games with Limited Data (Machine Learning Research Paper Explained)

    EfficientZero: Mastering Atari Games with Limited Data (Machine Learning Research Paper Explained)

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  13. This Week in Crypto: Cardano, $600m Hack, ETFs & More!! 📰

    This Week in Crypto: Cardano, $600m Hack, ETFs & More!! 📰

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  14. RWKV: Reinventing RNNs for the Transformer Era (Paper Explained)

    RWKV: Reinventing RNNs for the Transformer Era (Paper Explained)

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  16. EXPLAIN BY NOT EXPLAINING EDITION - TIM POOL ALWAYS WRONG, ATTACK HELICOPTER, TIFFANY DOVER, STOCKS

    EXPLAIN BY NOT EXPLAINING EDITION - TIM POOL ALWAYS WRONG, ATTACK HELICOPTER, TIFFANY DOVER, STOCKS

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  17. More Proof Bitcoin Was Created By Jesuits

    More Proof Bitcoin Was Created By Jesuits

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  19. 1st #Crypto #Privacy Coin That WASN'T Monero or Zcash? FIRO! (replay)

    1st #Crypto #Privacy Coin That WASN'T Monero or Zcash? FIRO! (replay)

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  20. ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning (Paper Explained)

    ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning (Paper Explained)

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  21. This Week in Crypto: Dogecoin, AVAX, BTC Millions & More!! 📰

    This Week in Crypto: Dogecoin, AVAX, BTC Millions & More!! 📰

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  22. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)

    NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)

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  23. DDPM - Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained)

    DDPM - Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained)

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  24. 🛑LIVE🛑 Bitcoin & Crypto Get Ready For This. [trader explains] May 2021 Price Prediction & News

    🛑LIVE🛑 Bitcoin & Crypto Get Ready For This. [trader explains] May 2021 Price Prediction & News

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