Epoch

Research institute tracking AI trends with data-driven analysis and dashboards
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Epoch (Epoch AI) is an independent research institute focused on understanding the trends that shape the development and governance of artificial intelligence. Its work centers on careful empirical measurement—collecting and analyzing data about how AI systems are built, trained, and improved—and turning those observations into clear projections about where the field may be heading. In a domain where narratives can move faster than evidence, Epoch aims to ground discussion in quantifiable indicators such as training compute, dataset scale, model parameters, and the pace of algorithmic progress.

Epoch publishes articles, research reports, and datasets designed to help both technical and non-technical audiences track the AI landscape. A key offering is its Machine Learning Trends dashboard, which visualizes important metrics and makes it easier to compare changes over time. These resources are especially useful for people who need to quickly assess “what’s actually happening” in AI—whether they are forecasting capability growth, evaluating claims about breakthroughs, or looking for historical baselines.

A major goal of Epoch’s research is to support better decision-making about AI governance. By translating technical trends into accessible insights, it helps policymakers, journalists, and researchers reason about questions like: How fast are frontier systems advancing? What inputs appear most correlated with performance gains? What constraints—compute, data, energy, hardware supply—might shape future progress? Epoch’s materials can also inform evidence-based debates about regulation, safety, and strategic planning.

To use Epoch, explore its website to browse publications and trend analyses, use the search function to find specific topics, and subscribe to its newsletter to receive new research updates. For support or general inquiries, contact [email protected].

Review summary

Features

  • Research reports and articles on AI trends and governance
  • Data-driven analyses and forward-looking projections
  • Machine Learning Trends dashboard
  • Visualizations of compute, parameters, and data over time
  • Searchable library of publications and resources
  • Newsletter for research updates

How It’s Used

  • Tracking key trends in AI and machine learning over time
  • Informing AI policy and governance decisions with empirical evidence
  • Supporting evidence-based discussions on AI progress and risks
  • Benchmarking and contextualizing claims about AI breakthroughs
  • Studying drivers of capability gains (compute, data, algorithms)

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