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Escaping the Dark Forest
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MEV and Me | Paradigm Research
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June Huh, High School Dropout, Wins the Fields Medal | Quanta Magazine
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Head of Growth at Otter.ai on PLG meets Sales, US vs China and building a winning growth team💪🏻
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Product Strategy - Google Docs
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Activating Cash Back
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2023 Product strategy - Google Docs
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The worminator project postpreprint
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Cowley group at CSHL
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Simulating Evolution in 3D! - YouTube
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The Self-Assembling Brain" by Peter Hiesinger - Google Search
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What is a UMAP? - Allen Institute
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Michael Levin - Google Scholar
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Introducing Dreamer: Scalable Reinforcement Learning Using World Models
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Dream to Control: Learning Behaviors by Latent Imagination
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GitHub - ccli3896/RLWorms: Setting up C elegans as an RL environment.
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GitHub - cristianocapone/biodreaming
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GitHub - basile6/MetaLearnBiologicallyPlausibleRules: Example code for: A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
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Why I Keep Failing Candidates During Google Interviews… | by Alexander Nguyen | Level Up Coding
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The Making of a Forecasting Bot
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By default, capital will matter more than ever after AGI — EA Forum
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In defense of the certifiers - by Lewis Bollard
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When life is a metaphor - by Espen Slettnes
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Forecasting & Prediction - LessWrong
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Why AI Safety Needs More Science Fiction: Proposing the AI Safety Fiction Challenge
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Writing is one of the best ways to learn. We’re building something to help you learn faster - here’s how to get involved! – BlueDot Impact
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How To Write Headlines Readers Can’t Help But Click
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Recovering from Rejection — EA Forum
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The AI regulator’s toolbox: A list of concrete AI governance practices - Adam Jones's Blog
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Coherent Extrapolated Volition - LessWrong
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Outer Alignment - LessWrong
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Gradual Disempowerment: Systemic Existential Risks from Incremental AI Development — EA Forum
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[2501.12405] Scopes of Alignment
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[2406.09264] Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions
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Thoughts from March 2025
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Shunyu Yao – 姚顺雨
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Understanding Rotary Positional Encoding | by Ngieng Kianyew | Medium
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DeltaNet Explained (Part II) | Songlin Yang
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Understanding Reasoning LLMs
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Inference-Time Compute Scaling Methods to Improve Reasoning Models
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The State of Reinforcement Learning for LLM Reasoning
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Horace He
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LLM入门指南 - 知乎
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The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
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ThunderKittens: A Simple Embedded DSL for AI kernels · Hazy Research
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Tracing the Thoughts of a Large Language Model — LessWrong
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The Hidden Bottleneck: How GPU Memory Hierarchy Affects Your Computing Experience | DigitalOcean
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Introducing Triton: Open-source GPU programming for neural networks | OpenAI
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Layer Normalization — Triton documentation
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fla-org/flash-linear-attention: 🚀 Efficient implementations of state-of-the-art linear attention models in Torch and Triton
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