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Dhruv Sheth
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on the atlas — 79
- Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries3 savers
- Blog - Aleksa Gordić2 savers
- [2602.10098] VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model1 savers
- [2507.12549] The Serial Scaling Hypothesis1 savers
- Read Something Wonderful - The Extended Internet Universe1 savers
- Sending Samples Without Bits-Back1 savers
- Seoul World Model: Grounding World Simulation Models in a Real-World Metropolis1 savers
- The ultimate guide to RL environments: building and scaling them in the LLM era - a Hugging Face Space by AdithyaSK5 savers
- A guide to the AI tribes - by Michel Justen - What is this1 savers
- Computer Vision and Geometry Group | Robot Learning1 savers
- The Smol Training Playbook: The Secrets to Building World-Class LLMs - a Hugging Face Space by HuggingFaceTB13 savers
- State of RL for reasoning LLMs | A. Weers6 savers
- The Unreasonable Effectiveness of LLMs in Mathematics1 savers
- Building a Reasoning Machine - Ph.D. thesis | Edward Hu1 savers
- Lucas Maes1 savers
- stevengongg (@stevengongg) / X1 savers
- Open Source Alternatives to Popular Software1 savers
- Open Source Alternatives to Popular Software1 savers
- Cached Thoughts1 savers
- Occam’s Razor1 savers
- The Hidden Complexity of Wishes1 savers
- What comes next with open models - by Nathan Lambert1 savers
- Everyone is Gambling and No One is Happy - by kyla scanlon1 savers
- State of Vision-Language-Action (VLA) Research at ICLR 2026 – Moritz Reuss3 savers
- Inside vLLM: Anatomy of a High-Throughput LLM Inference System - Aleksa Gordić7 savers
- Sporks of AGI - by Sergey Levine - Learning and Control8 savers
- Too Much Information - by Ben Recht - arg min2 savers
- The Intelligence Age13 savers
- Theory of Change (Aaron Swartz's Raw Thought)82 savers
- An Opinionated Guide to ML Research50 savers
- escaping flatland: career advice for CS undergrads41 savers
- Andrej's advice for success39 savers
- Mini Blog Post 3: Become a person who Actually Does Things — Neel Nanda38 savers
- Defeating Nondeterminism in LLM Inference - Thinking Machines Lab37 savers
- A Mathematical Framework for Transformer Circuits36 savers
- Reflections on OpenAI33 savers
- LoRA Without Regret - Thinking Machines Lab32 savers
- The Persona Selection Model: Why AI Assistants might Behave like Humans28 savers
- How To Scale Your Model26 savers
- A Survival Guide to a PhD26 savers
- Making Deep Learning Go Faster25 savers
- How to win a best paper award (or, an opinionated take on how to do important research)24 savers
- How to Optimize a CUDA Matmul Kernel for cuBLAS-like Performance: a Worklog23 savers
- The Last Question20 savers
- How to Land a Frontier Lab Job17 savers
- How To Understand Things - Nabeel S. Qureshi16 savers
- The Shigalyovist Turn16 savers
- What are Diffusion Models? | Lil'Log16 savers
- Automated Weak-to-Strong Researcher15 savers
- Six (and a half) intuitions for KL divergence - LessWrong14 savers
- RLHF & Post-Training Course by Nathan Lambert14 savers
- The best general advice on earth « the jsomers.net blog14 savers
- Alexey Guzey admits to being wrong on sleep13 savers
- Diffusion is spectral autoregression – Sander Dieleman12 savers
- The Technium: You Are Not Late - https://kk.org/thetechnium/you-are-not-late/10 savers
- On neural scaling and the quanta hypothesis10 savers
- Approximating KL Divergence9 savers
- 192 Weeks8 savers
- An Ambitious Vision for Interpretability — AI Alignment Forum8 savers
- The flavor of the bitter lesson for computer vision - Vincent Sitzmann7 savers
- Feature Visualization6 savers
- How to Create Luck6 savers
- PiTorch: ML on Baremetal Raspberry Pis | projects6 savers
- The Decade of Deep Learning | Leo Gao6 savers
- State of Robot Learning, December 20256 savers
- ACT-1: A Robot Foundation Model Trained on Zero Robot Data | Sunday | The helpful robotics company5 savers
- Language Models in Plato's Cave - by Sergey Levine4 savers
- ⭐️ Fast LLM Inference From Scratch4 savers
- Home - Joe Carlsmith4 savers
- Diffusion Meets Flow Matching4 savers
- Flow Matching Policy Gradients4 savers
- Unfolding Robotics: Open-Source Shirt Folding from Data to Deployment - a Hugging Face Space by lerobot4 savers
- Memory makes computation universal, remember?4 savers
- Loss of plasticity in deep continual learning | Nature3 savers
- Video models are zero-shot learners and reasoners2 savers
- AINews | AINews2 savers
- Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models | NVIDIA Technical Blog2 savers
- [2601.19897] Self-Distillation Enables Continual Learning2 savers
- MAI-Thinking-1: Building a Hill-Climbing Machine2 savers