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Papers
Papers 250
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introducing the @tastelabs research fellowship!
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What seminal papers should every grad student in deep learning know?
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A visually convincing rollout is not the same thing as a useful world model.
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tldr; in 2026, phd'ing can be really fun! an opinion you don't hear that often
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Really big fan of @jsuarez’s work on PufferLib.
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Have an idea for an experiment?
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@AishIdiot There are cool memory papers coming out every week!
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introducing Autoreason, a reasoning method inspired by @karpathy's AutoResearch which extends the st
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Its crazy more people don't know about Tandem Training.
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Strongly recommend the LLM-as-a-Verifier writeup.
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Sharing a very simple Claude skill I created for ML literature survey. My experience with existing s
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Currently in BLR to help build our model training team!
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I am not sure how you learn LLM/DL. The only way for me is to run the code, check the input/output a
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We open-sourced the full workshop we gave at @aiDotEngineer Europe with @pauliusztin_ and @towards_A
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lowkey one of the best things about ML right now is how many legit research paths exist outside the
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Interested in getting into AI safety research? Applications are open for the PRISM Fellowship!
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The human brain🧠 is incredibly efficient because it only activates the specific neurons needed for a
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Normally I'd read a paper every morning, but today read this article on X instead.
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New blog on RL scaling laws coming out tomorrow morning. Scaling is one of the most impactful concep
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I trained an LLM to reason from scratch with reinforcement learning (GRPO) - GSM8K 45% -> 73% on a s
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🏹 Job alert: Research Fellow in Machine Cognition at UCL
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"Pen and Paper Exercises in Machine Learning"
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"Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training"
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After interviewing for Research Scientist roles at DeepMind, Isomorphic, Meta, Cohere and more, I wr
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