Nathan Lambert @natolambert

Strong agree. There’s way less of this than I would expect — partially due to the fact that making a high quality environment usually involves fairly expensive verification (testing strong models). Still, there can be much more. [引用 @Thom_Wolf]: releasing many high quality open-source RL environments is the most impactful thing anyone can do to push the open-source frontier right now the equivalent of sharing high quality pretraining data but in the new RLVR paradigm

• Open-source AI reading list posted on Hacker News2026-09-14