Inspired by 18+ years of real-world AI/ML events & projects

A blog about AI that's actually about people

Articles, interviews, and news coverage about AI brought to you by a team of AI researchers and builders.

I contextualize and explain important topics in AI research.

News at the intersection of Artificial Intelligence, technology and business including Op-Eds, research summaries, guest contributions and valuable info about A.I. startups.

Tabular foundation models, ML interpretability, and beyond by a statistician turned machine learner.

The cutting edge of AI, from inside the frontier AI labs, minus the hype. The border between high-level and technical thinking. Read by leading engineers, researchers, and investors.

A weekly deep dive into the latest AI / ML research, projects & repos.

The AI Engineer newsletter + Top technical AI podcast. How leading labs build Agents, Models, Infra, & AI for Science. See https://latent.space/about for highlights from Greg Brockman, Andrej Karpathy, George Hotz, Simon Willison, Soumith Chintala et al!

Covering the important ideas in AI from all angles- technical, social, and economic. Read in over 200 countries. Useful to everyone who wants to learn AI. Critical to anyone trying to see what happens next. Sister Publication to Tech Made Simple.

mathematics ∪ machine learning

ML Engineer writing about GenAI | Open Sourcerer (BERTopic, PolyFuzz, KeyBERT) | Author of "Hands-On Large Language Models".

Short, fundamental ideas that will help you engineer machine learning systems.

Gradient Ascent is your weekly guide to AI, trusted by Silicon Valley's top tech firms and the best academic labs worldwide.

I write about interesting new developments in AI.