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The Paradox of Reuse in 2026: A Case of Quasi-Enclosure, or "Subsidized Club Goods that Sort of Look Like Public Goods"
How we can understand, and react to, the complicated impacts of AI systems on online communities and knowledge commons
 • Nick Vincent
The Coding Agent Data Deal
On user data control, coding agents as retrievers, and the value of your coding transcripts
 • Nick Vincent
Coding agents are (1) a big deal, (2) very relevant to data leverage, and (3) able to help build tools that support data leverage!
Sharing an early reaction to recent coding agent discourse and two relevant projects
 • Nick Vincent
Almost Everybody -- Including Both Data Creators and AI Companies -- Stands to Benefit from Clearer "Data Rules".
In fact, anyone who doesn't think they will be a "big winner" long term benefits from clear rules, even if it means training data costs more in the…
 • Nick Vincent
How collective bargaining for information, public AI, and HCI research all fit together
Another recap post for the Data Leverage newsletter!
 • Nick Vincent
Which datasets should we assume are "in all the AI models"?
New model releases keep (re)sparking discussions about training data. What can we assume is upstream in the data river, and what do we want to see…
 • Nick Vincent
Algorithmic Collective Action With Two Collectives [crosspost]
This post was written by Aditya Karan, with support from Nick Vincent and Karrie Karahalios to accompany a FAccT 2025 paper. It was originally published…
 • Nick Vincent
Data Leverage
Data Leverage
Our data will define the future of AI, let's make it a good one.
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