Chart of the day

Training AI doubles every six months

The computing power used to train notable AI systems has grown astronomically — doubling roughly every six months since 2010, and about a billionfold since 2012. Measured in floating-point operations (FLOP).

Logarithmic scatter chart of training compute for notable AI systems from 1950 to 2025, rising from about 10^2 operations to over 10^26, with landmark models Perceptron (1960), AlexNet (2012), AlphaGo (2016), GPT-3 (2020), GPT-4 (2023) and Grok 4 (2025) highlighted.

by Mara EllisonRead the full story →

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