Data source: The data comes from [Epoch](https://epoch.ai/data/notable-ai-models), a research organization that tries to understand where AI might be headed by analyzing trends in computation, data, investments, and more. They maintain one of the most comprehensive datasets on AI available.
Tools used: I downloaded an .svg version of the chart and data from Epoch, and then used Figma to remix it in our style at Our World in Data (where I work).
![[OC] Since 2010, the training computation of notable AI systems has doubled every six months](https://www.europesays.com/wp-content/uploads/2025/01/u02ql12ldbee1-1920x1024.png)
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Data source: The data comes from [Epoch](https://epoch.ai/data/notable-ai-models), a research organization that tries to understand where AI might be headed by analyzing trends in computation, data, investments, and more. They maintain one of the most comprehensive datasets on AI available.
Tools used: I downloaded an .svg version of the chart and data from Epoch, and then used Figma to remix it in our style at Our World in Data (where I work).
If you’re interested, you can [read more](https://ourworldindata.org/scaling-up-ai) about how scaling AI systems has driven a lot of recent progress.
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