When "Discoveries" Are Just Big Labyrinths: What an AI Exercise Teaches Us in Pure Math for Education, Evidence, and Hype

A recent wave of coverage claimed that Reinforcement Learning (RL) had leaped pure math by navigating the notoriously thorny Andrews-Curtis landscape, downplaying long-term potential counterexamples and hinting – breathlessly – at tools that could one day predict stock crashes, pandemics, and even climate disasters years in advance. The research team made progress: by combining the RL standard with intelligent motion compression ("supermoves"), they found paths through cases that had resisted search for decades.