The Scaling Law Everyone Ignored: Why Reinforcement Learning Won’t Get Smarter No Matter How Much Compute You Throw At It
The AI industry’s faith in compute scaling is about to hit a wall. Reinforcement learning’s bottleneck isn’t model size—it’s the combinatorial explosion of environments needed for exploration. No amount of GPUs can solve the exploration-exploitation trade-off. The real breakthrough will come from smarter exploration, not bigger datacenters.