The User Modeling Wars
There’s one distinct capability missing from human-AI interaction today: proactivity.
Memory Augmented Neural Networks for Retrieval and Continual Learning
How Memory Networks, Neural Turing Machines and several more architectures of old may inspire a new generation that scales foundational agents.
Announcing our investment in Recursive Super Intelligence
RSI is on the cusp of unlocking a universe of insights for scientists everywhere.
NeurIPS 2025 Recap
Highlights of this year's NeurIPS conference: scaling environments, multi-agent frameworks, test-time training, and more.
Self play and autocurricula In the age of agents
Why we should care about using autocurricula to train digital agents and how unsupervised environment design and evolutionary algorithms might help us get there.
ICML 2025 takeaways
Themes from this year's ICML across audio, world models, and scaling RL.