How AI Models Work

A model solves a difficult logic puzzle, earns a high reasoning score, and still contradicts itself in an ordinary conversation. Reasoning benchmarks test structured problems under fixed conditions. They can show real progress—but what do they actually measure, and how much of human thinking remains outside the test?

A model tops a leaderboard, beats last month’s score, and earns a “state-of-the-art” label. Then it struggles with an ordinary question that the test never asked. AI benchmarks can reveal real progress, but each score measures a narrow task under controlled conditions. What do those numbers prove—and what important weaknesses can they leave completely hidden?