Состояние прогресса искусственного интеллекта
Вычисления, модели, чипы, дата-центры и бенчмарки: полная траектория ИИ в цифрах, обновляемая постоянно.
Каждая отслеживаемая модель с известным объёмом вычислений на обучение, с 1950 по 2026 год — 25 порядков величины в логарифмическом масштабе.
Almost nothing here is disclosed by the labs. Training compute is reconstructed from hardware counts and training time; data-center capacity is inferred from construction permits, satellite imagery and power contracts; chip supply is modelled from earnings and shipment data. So every estimate carries its uncertainty with it — a confidence tag on an attribution, a 5th-to-95th percentile band on a supply figure, a note on how a compute number was derived. Those qualifiers are kept on the page rather than rounded away.
The underlying research is Epoch AI's, published under a Creative Commons Attribution license. What is added here is structure: one durable URL per model, per data center, per cluster, per chip, per benchmark — server-rendered, cross-linked and citable, instead of locked inside an interactive explorer.