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Epoch AI: Papers & Reports

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Epoch AI·epochai.org/blog

Credibility Rating

4/5
High(4)

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

Rating inherited from publication venue: Epoch AI

Epoch AI is a frequently cited empirical research organization in AI safety discussions; their compute and scaling trend data informs both near-term capability forecasts and longer-term existential risk assessments.

Metadata

Importance: 72/100blog posthomepage

Summary

Epoch AI is a research organization focused on investigating trends in AI development, including compute scaling, dataset growth, algorithmic progress, and AI forecasting. Their blog and reports provide empirical analysis to inform predictions about AI timelines and capabilities trajectories. It serves as a key reference for quantitative research on the pace of AI advancement.

Key Points

  • •Tracks historical and projected trends in AI training compute, model parameters, and dataset sizes
  • •Produces forecasts and empirical analyses relevant to AI timelines and transformative AI risk assessments
  • •Publishes research used widely in AI safety and governance communities to ground capability predictions
  • •Covers algorithmic efficiency improvements alongside hardware scaling trends
  • •Serves as a primary data source for arguments about compute governance and AI policy interventions

Cited by 1 page

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Epoch AIOrganization51.0

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Papers & Reports | Epoch AI 

 
 

 
 

 

 
 Publications

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 Report Aug. 20, 2024 Can AI scaling continue through 2030? Report Sep. 16, 2025 What will AI look like in 2030? Report Feb. 10, 2026 Where Autonomy Works: Evaluating Robot Capabilities in 2026 Filter

 Type Report Update Paper Viewpoint Topic Compute Trends Hardware Performance & Benchmarks Tools & Resources Organizational Updates Algorithmic Progress Scaling Laws Math Training Data Economics of AI Model Development Data Centers Energy Inference Accessibility + More 
 
 
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 Explore Epoch AI's latest insights on the trajectory of AI, including topics like compute, data, algorithmic advances, economics, and forecasting.
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