The focus of frontier AI development has shifted from massive training runs to letting models calculate their way through complex problems before answering.
As traditional scaling laws hit a wall, the industry is pivoting to models that 'think' before they speak—and the open-source community is leading the charge.
As tech companies run out of high-quality web data to train larger systems, they are finding that letting models spend more time calculating before they speak yields massive leaps in logic.
