Miguel Villa Floran

on the atlas · 298

• The Anatomy of Determination9 savers
• What failure looks like - LessWrong15 savers
• Tacit Labs2 savers
• Founding Sales1 savers
• About | Eric Jang3 savers
• The Rise and Fall of American Growth: A summary2 savers
• A Simulation-enabled Scaling Paradigm for Robot Learning — Moonlake1 savers
• Why K-Scale Wins1 savers
• Pantheon Design - High Speed 3D printers2 savers
• GPU-accelerated Weight Teleportation | humans&3 savers
• The Commanding Heights19 savers
• The Hitchhiker’s Guide to Training on Compute Islands | Core Automation7 savers
• Top Performers are Pathologically Ambitious - by Matt Beard35 savers
• I don't care (anymore) if your writing got a Pangram false positive9 savers
• Psycholinguistics and Transformer Circuits | Nathan's Notes1 savers
• There Really is No Time - by Scott Stevenson9 savers
• Chris von Csefalvay1 savers
• SimReadyBench: OpenUSD Asset Generation Benchmark1 savers
• Jane Street Blog - Can you use autoregressive diffusion to generate market data?1 savers
• Iraq: The Great Scud Hunt3 savers
• Being Serious | Nathan's Notes2 savers
• How To Design A Chip, From Scratch - Jacob Peake4 savers
• The Thinking Game | Full documentary | Tribeca Film Festival official selection - YouTube13 savers
• Agents in Games · Labs3 savers
• Deep Learning Speedrun — Deep Learning Speedrun1 savers
• Welcome Le Chonk: Mistral Large 4 on Hugging Face1 savers
• XSub-XPub - NetMQ1 savers
• The Sane Asylum - Colossus21 savers
• Six Months of Managing2 savers
• PCBs without the magic smoke, using agents8 savers
• Better MoE model inference with warp decode · Cursor7 savers
• Introducing Instant Robot Learning | Machenta2 savers
• Hunger beats tenure: Advice for junior engineers21 savers
• MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives1 savers
• research review: aella girl - erika milktea4 savers
• Walden Robotics | Call for Help: Teaching Robots to Request Assistance1 savers
• GELLO2 savers
• SE3 Labs — Real-World RL Environments for Physical AI1 savers
• Agentic World Action Models1 savers
• Pretraining at scale without a pretraining team — Mirendil4 savers
• Poke & Wiggle2 savers
• Consider chilling out in 2028 — LessWrong8 savers
• The Ultimate Neolab List3 savers
• Look Ma, No Bubbles! Designing a Low-Latency Megakernel for Llama-1B · Hazy Research9 savers
• Library of Babel11 savers
• Dyna-2.1: A Physical Agent for End-to-End Workflows — DYNA1 savers
• A petabyte a day, into anyone’s cloud · microagi1 savers
• VR Teleoperation Stack for Robot Manipulation · Aurel Arnold1 savers
• two years of robotics, one year of intelligent robots — atharva / ksagar2 savers
• Coyote V. Acme | The New Yorker1 savers
• Overnight Success: It Takes Years2 savers
• SONIC-K11 savers
• berserk - Google Docs2 savers
• This Is Just To Say by William Carlos Williams | Poetry Foundation4 savers
• Doom, compiled into a transformer — Out of Distribution2 savers
• Zero-Shot to New Robots: Introducing Dream-1 | Dream Labs1 savers
• Helix 2.5: Zero-Shot 30-Home Generalization1 savers
• I'm not doing 996. - by Elena Verna - Elena's Growth Scoop1 savers
• Portfolio · Mark Saroufim2 savers
• How to Run Turing-Complete Malware in PyTorch's Backward Pass | Elements of a Vector Space7 savers
• Jane Street Blog - Can you reverse engineer our neural network?7 savers
• Empires of AI: The Rise and Fall of a New Global Order3 savers
• Mirror: Self-Improving Video-to-Action Models2 savers
• Why We Started with JAX but Moved to PyTorch1 savers
• does it get lonely, chasing your dreams? - by vincent huang2 savers
• Increase your slope4 savers
• My plan for reviewing PRs in Open Source Projects in the age of AI | Andrew A Lamb1 savers
• K-Scale Business Plan1 savers
• Photon 2.0: Inference engine for Physical AI | Moondream2 savers
• Unfolding Robotics: Open-Source Shirt Folding from Data to Deployment - a Hugging Face Space by lerobot5 savers
• openpi / π0.5 Fine-Tuning: How-To and Tips — PrismaX Blog1 savers
• IROS 2026 Recap — PrismaX Blog1 savers
• π0.7 inference · Kuan Yi Wang1 savers
• the game - by kaylee - kleerants1 savers
• justinzwu.com5 savers
• Dhruv Sheth1 savers
• Scaling a No-Search Chess Engine1 savers
• hi, i'm rohan1 savers
• Period2 savers
• Introduction | ØMQ - The Guide1 savers
• RAPIDS - Robot AI Agents Pipeline for Intelligent Data Collection & Skill Learning1 savers
• You could have invented transformers from memory | Alex Wang13 savers
• All the Work That Keeps Us Warm - by Kendall Waldman1 savers
• The Management Secret That Makes SNL’s Chaotic Writers Room Succeed - Fast Company2 savers
• You can design a chip to run Kimi K3 at 87000 tps???8 savers
• Tiny Tapeout :: Quicker, easier and cheaper to make your own chip!3 savers
• wafer.space - Budget silicon manufacturing.1 savers
• π0.7 training · Kuan Yi Wang2 savers
• How To Plant A Meme · Do Not Research7 savers
• Twenty Years from RSI to Takeoff: Slow Learning, Scaling Slowdown, Industrial Explosion — LessWrong3 savers
• Wayback Machine2 savers
• PostTrain Arena · The open arena for post-training2 savers
• We Trained China’s AI Researchers. Now We Risk Being Surpassed in AI Innovation.1 savers
• jrin771.github.io/nanosystems.html3 savers
• Saturn Robotics: High-Performance Motors & Actuators | Saturn Robotics2 savers
• Apple in Colour | sheets.works1 savers
• All iPhone Models by Year: Every iPhone, 2007 to 2026 (55)1 savers
• Every LEGO Color, Born and Died · The Data Drop1 savers
• The people holding up the internet | Data Drop3 savers
• Reiner Pope – The math behind how LLMs are trained and served6 savers