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Bowman-Sam-thesis-final-2016.pdf
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[2505.15813] Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
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[2505.20172] A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation
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Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
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2110.11216
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[2507.05526] Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
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[2506.13690] Meta-learning how to Share Credit among Macro-Actions
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[2509.13341] Imagined Autocurricula
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Inkhaven postmortem 😵
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Thought Anchors: Which LLM Reasoning Steps Matter? — LessWrong
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[2505.12075] Do different prompting methods yield a common task representation in language models?
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Scanford, a Robot-Powered Data Flywheel
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Mixed selectivity: when neurons stopped looking like specialists | Nature Reviews Neuroscience
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The Etiology and Treatment of Childhood
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merajmehrabi/puppeteer-mcp-server: This MCP server provides browser automation capabilities through Puppeteer, allowing interaction with both new browser instances and existing Chrome windows.
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WeirdML
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Will AI convincingly mimic Scott Alexander's writing in style, depth, and insight before 2026? | Manifold
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The Apollo Almanac — LessWrong
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deepfx/netlens: A toolkit for interpreting and analyzing neural networks (vision)
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[2402.15911] PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails
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Tracing Model Outputs to the Training Data \ Anthropic
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[1703.04730] Understanding Black-box Predictions via Influence Functions
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[2508.06811] Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
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[2510.09023] The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
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[2402.04249] HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
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[2211.14946] Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models
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TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering | OpenReview
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Mnestics — LessWrong
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Open Source Automated Interpretability for Sparse Autoencoder Features | EleutherAI Blog
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chastronomic on X: "If you're an “ML Engineer” and you think attention means “the model focuses on relevant parts of the input,” you’re missing the actual math that makes Transformers work. Concept 22: Attention Is All You Need, a different perspective. The core attention equation: Attention(q," / X
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[2402.10962] Measuring and Controlling Instruction (In)Stability in Language Model Dialogs
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deniel_kiz_elcernon_ucun_guller_eng.pdf
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Ryan Ferris on X: "J⧉nus (@repligate) is mapping the psychology of synthetic minds. They offer a different path to AI alignment, arguing that models exhibit forms of agency and emotional states. 0:00:00 - LLM vs human cognition & what it is like to be J⧉nus 0:06:30 - Cyborgism, The Dreaming, https://t.co/D7pQvU6ljX" / X
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txt.fyi
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[Final Circulation] State of Brain Emulation Report
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Tianyi Alex Qiu
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MIT CSAIL – Scene Representation Group
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Why We Won’t Fund Research Towards the Creation of Mirror Organisms — Renaissance Philanthropy – A brighter future for all through science, technology, and innovation
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Optimal Learning – CASTLE
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October readlog - by Yoyo - Isoglutamine
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[2301.02679] Grokking modular arithmetic
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Andrej Karpathy Academic Website
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[1906.06669] One Epoch Is All You Need
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EleutherAI/pythia: The hub for EleutherAI's work on interpretability and learning dynamics
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Boolean Cubes | Iconic Math
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劉
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tylertracy.com
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Wicked problem - Wikipedia
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Letters to Boys | Gretta Duleba | Substack
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Empty Ideas in Philosophy - by Tommy Blanchard
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