Thomas I. Liao is an individual researcher focused on machine learning evaluation and foundation model transparency. He created the Foundation Model Tracker, which documents the release of large AI models including information about released weights, code, data, and other relevant characteristics. His broader research interests include evaluation standards in ML, distribution shifts, and the societal impacts of large language models. He is based in Berkeley, California, and is currently affiliated with Anthropic.
Funding Details
- Annual Budget
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $15,000
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Theory of Change
By tracking and documenting the release of large AI foundation models in real time, Liao's work provides transparency infrastructure that helps safety researchers, policymakers, and the broader AI governance community understand what systems are being developed and released. This monitoring function supports informed decision-making about AI risks and helps identify capability thresholds as they are crossed.
Grants Received
from Open Philanthropy
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Details
- Last Updated
- Apr 2, 2026, 9:52 PM UTC
- Created
- Mar 20, 2026, 2:34 AM UTC