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Google Scholar·scholar.google.com/scholar?q="Epoch+AI"+compute+trends

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4/5

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High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: Google Scholar

This is a Google Scholar search query rather than a primary source; use it to discover papers citing or related to Epoch AI's compute scaling research, which underpins many AI timelines and forecasting discussions.

Metadata

Importance: 30/100otherreference

Summary

A Google Scholar search aggregating academic and research publications related to Epoch AI's work on AI compute trends. This search surfaces empirical studies and analyses tracking the growth of computational resources used in AI training over time, relevant to forecasting AI development trajectories.

Key Points

•Aggregates scholarly citations and papers referencing Epoch AI's compute trend analyses
•Useful for finding peer-reviewed work on training compute scaling and hardware trends
•Supports research into historical and projected growth rates of AI training resources
•Relevant for understanding the empirical basis behind AI timelines and forecasting arguments

Cited by 1 page

Page	Type	Quality
Epoch AI	Organization	51.0

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