THE NEXT PARADIGM

Summary from the TLDR AI newsletter

AI labs are betting that scaling reinforcement learning from verifiable rewards (RLVR) across millions of diverse tasks will achieve artificial general intelligence, but this paradigm hits a wall in domains that lack deterministic simulators. True continual learning requires moving past temporary in-context memory and shifting back into the model's weights themselves.