Sarah

on the atlas — 64

• The Most Forbidden Technique — LessWrong1 savers
• Alignment Is Proven To Be Solvable - by SE Gyges1 savers
• Research as a Leisure Activity, Summer 2026 — Ultralight School1 savers
• Teaching | David Tong1 savers
• Consciousness is a Mathematical Pattern: Max Tegmark at TEDxCambridge 2014 (Full Transcript) – The Singju Post1 savers
• Perspective Distortions: Why Normal Cameras Make Faces Look Weird | Aaron Hertzmann’s blog1 savers
• Import AI | Jack Clark | Substack1 savers
• SLT for AI Safety – Jesse Hoogland1 savers
• Towards the explainability of protein language models | Nature Machine Intelligence1 savers
• bv_cvxbook.pdf2 savers
• Rafael Gomez-Bombarelli: The bittersweet lesson of scaling in AI for materials | Bakar Institute of Digital Materials for the Planet1 savers
• sula - Google Search1 savers
• when we cease to understand the world - Google Search1 savers
• Nikhil Prakash | books1 savers
• Are.na21 savers
• Lines and Minds: Visual Abstraction in Art, Psychology, and Computer Graphics - SIGGRAPH 20261 savers
• I knew my writing students were using AI. Their confessions led to a powerful teaching moment | AI (artificial intelligence) | The Guardian2 savers
• Curius / Onboarding2507 savers
• Why books don't work60 savers
• Do Thing, Do One Thing45 savers
• No one can teach you to have conviction | benkuhn.net38 savers
• The Old World Is Dying: Advice for 2026 graduates36 savers
• The Persona Selection Model: Why AI Assistants might Behave like Humans28 savers
• Career Advice That Doesn’t Suck27 savers
• How To Scale Your Model26 savers
• What 81,000 people want from AI \ Anthropic25 savers
• How to write a cold email24 savers
• How to win a best paper award (or, an opinionated take on how to do important research)24 savers
• No One is Really Working21 savers
• Tracing the thoughts of a large language model \ Anthropic18 savers
• If you let AI do your writing, I will come to your house and kill you17 savers
• Emotional management15 savers
• Modular Manifolds - Thinking Machines Lab15 savers
• trees are harlequins, words are harlequins — the void14 savers
• Your Life is Driven by Network Effects13 savers
• No One is Even Trying | Applied Divinity Studies12 savers
• How to walk through walls - by Henrik Karlsson11 savers
• Shtetl-Optimized » Blog Archive » The First Law of Complexodynamics10 savers
• Natural Language Autoencoders \ Anthropic9 savers
• Capital, AGI, and Human Ambition - The Intelligence Curse9 savers
• Using Self-Correcting Search to Accelerate Materials Discovery8 savers
• On the Tradeoffs of SSMs and Transformers | Goomba Lab8 savers
• WEB 4.0: The birth of superintelligent life8 savers
• Recommendations for Technical AI Safety Research Directions7 savers
• Best Of Moltbook - by Scott Alexander - Astral Codex Ten7 savers
• Intentionally Designing the Future of AI7 savers
• On Grand Ambitious Theories6 savers
• Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data6 savers
• Teaching Claude why \ Anthropic6 savers
• Useful Vices for Wicked Problems5 savers
• Emotion Concepts and their Function in a Large Language Model5 savers
• Attention is all we have - David Bessis5 savers
• Some Advice for a 22-Year-Old Just Getting Started4 savers
• search art with art4 savers
• Import AI4 savers
• Wetware computer4 savers
• The Bitter Lesson is coming for Tokenization | ⛰️ lucalp4 savers
• Neel Nanda on Mechanistic Interpretability: Progress, Limits, and Paths to Safer AI — EA Forum3 savers
• How AI Is Learning to Think in Secret3 savers
• Excited altruism - The GiveWell Blog3 savers
• Days are enormous - by Henrik Karlsson - Escaping Flatland2 savers
• Import AI 431: Technological Optimism and Appropriate Fear2 savers
• Generalist - The Dark Matter of Robotics: Physical Commonsense2 savers
• I am worried about near-term non-LLM AI developments — LessWrong2 savers