The Distill Prize for Clarity in Machine Learning was established in 2017 to reward excellent communication of machine learning research, including tutorials, novel explanations, visualizations, and explorable explanations. Each prize is $10,000, and winners are selected annually for work completed before January 1 of that year. The prize is legally separate from the Distill journal and is funded by an initial $125,000 endowment from Chris Olah, Greg Brockman, Jeff Dean, DeepMind, and the Open Philanthropy Project, with logistics handled by Open Philanthropy.
Funding Details
- Annual Budget
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- Monthly Burn Rate
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $125,000
- Fiscal Sponsor
- Open Philanthropy Project
Theory of Change
The Distill Prize aims to reduce research debt in machine learning by incentivizing researchers and communicators to produce exceptionally clear, interactive, and accessible explanations of ML concepts. The causal chain is: better explanations reduce the time researchers spend confused or working from misunderstandings; this accelerates progress and enables researchers to build more reliably on prior work; clearer understanding of how ML systems function supports interpretability, safety research, and the development of beneficial AI. By financially rewarding clarity as a first-class research contribution, the prize also shifts academic culture toward valuing communication and understanding alongside raw novelty.
Grants Received
from Open Philanthropy
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Details
- Last Updated
- Apr 2, 2026, 9:52 PM UTC
- Created
- Mar 20, 2026, 2:35 AM UTC