5 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Venture firm Radical Ventures on "neolabs" — new, research-first AI labs founded outside the big companies.
Why I recommend it: A venture capitalist writing about a trend it invests in. The page blocked our automated check.
A joint MIT and IBM research lab publishing work on AI models, efficiency and applications.
Why I recommend it: Co-funded by IBM, so its research agenda reflects IBM's commercial interests as well as MIT's.
MIT's Computer Science and Artificial Intelligence Laboratory — news, research areas and free talks from one of the largest AI labs in academia.
Why I recommend it: Good for seeing where AI research is heading. Many talks and papers are free to read.
TypeSafe AI announcement from founder Diogo Almeida (formerly OpenAI) introducing System One models and Jev, aimed at cheaper automation rather than better chat.
Why I recommend it: Worth skimming to track where new AI labs are placing bets — useful context for interviews at AI companies.
A benchmark and tracker that documents reported instances of AI agents undertaking activity characterized as illegal, ranking major AI labs by aggregated incident counts.
Why I recommend it: This is exactly the kind of uncomfortable accountability tool our field needs. I include it because we cannot have thoughtful conversations about AI deployment without looking at real-world harm.
