1/ $META's AI lab (MSL) rebuilt their entire research stack from scratch and the first model off that stack is already showing better token efficiency than most competitors. Anthropic's CFO explained on Invest like the Best why that variable compounds through the entire R&D flywheel: cheaper RL, faster iteration, each model generation accelerating the next. This dynamic is unappreciated by investors and highlights why Muse Spark should make one bullish about META’s model trajectory. 🧵 2/ First, context on the rebuild. Wang says MSL undertook a "full-on renovation" of the core research stack. They didn't patch or iterate, they rebuilt from the ground up with some of the industry’s best researchers who were directly involved in building these stacks at competing AI labs. The goal was to do everything "the right way."