Meet the people behind the posts.

Andrej Karpathy

AI researcher and educator

@karpathy

Explains how language models change software development, from his original description of vibe coding to experiments where an agent changes training code and measures the result.

François Chollet

AI researcher; co-founder of Ndea and ARC Prize

@fchollet

Created Keras and ARC, and examines how to distinguish learned task performance from the ability to solve unfamiliar problems.

Illia Polosukhin

NEAR co-founder and NEAR AI founder

@ilblackdragon

Blockchain and AI design, from coauthored machine-learning papers to NEAR's approach to programmable money.

Jason Wei

AI researcher at Meta Superintelligence Labs

@_jasonwei

Coauthored research on prompting models to produce intermediate reasoning steps and on testing whether short factual answers are correct.

Lilian Weng

Machine learning researcher; author of Lil’Log

@lilianweng

Connects reasoning and reinforcement learning methods to their failure modes, including models that improve an evaluator's score without completing the intended task.

Nathan Lambert

Post-training researcher; co-founder and executive director of Trillium Labs

@natolambert

Explains how training examples, preference comparisons and verifiable rewards turn a pretrained language model into a more useful assistant.

Noam Brown

Research scientist at OpenAI

@polynoamial

Researches reasoning, reinforcement learning and multi-agent systems, with earlier coauthored work on poker search and language-guided negotiation.

Sasha Rush

ML researcher at Cursor

@srush_nlp

Makes model research inspectable through annotated code and training reports, from a Transformer implementation to the training and evaluation of a coding model.

Sebastian Raschka

LLM research engineer and author

@rasbt

Explains language models through small implementations, connecting tokens and attention to the code for building, training and adapting a GPT-style model.

Stella Biderman

AI researcher and executive director of EleutherAI

@BlancheMinerva

Studies how model behavior develops during training, using public checkpoints and controlled experiments on memorization and capabilities.

Thomas Wolf

Hugging Face cofounder and Chief Science Officer

@Thom_Wolf

Connects open model research and software to questions about what an AI benchmark measures, with work on model compression and scientific reasoning.

Tri Dao

Chief Scientist at Together AI; ML systems researcher

@tri_dao

Studies how model algorithms and GPU hardware fit together, with coauthored explanations of faster attention and alternatives to a growing attention cache.