The labs’ RLVR bet is that enough training on containerized, reproducible environments will yield a general agent that can execute plans, rapidly learn from new information, and acquire skills within one session.

“The last are betting that RLV yard will generalize. That is that if you train on enough containerized reproducible environments,”

“you will develop a very general agent that can make it execute plans and learn rapidly from new information and even pick up new skills, all within a single session.”