Standard Reader

Data Leverage

Writings about healthy data flow for the AI age

@nickmvincent.bsky.social1readers42posts4d ago

LatestRecent writing

AI Dividends Without Taxing Compute, Automation, or Equity: A Presumptive Commons-Rent Tax Based on Capabilities and Data Dependence

A proposal for updating data dividend ideas around capability measurement, data provenance, and AI auditing.

The AI "Evaluation Crisis" Is an Opportunity to Get Data Flow Right

Why the AI evaluation crisis could force a reckoning on dataset provenance, attribution, and consent.

Attestation across the AI Supply Chain

A proposal for interoperable attestation objects that connect training data, evaluation labor, and AI-generated outputs across the AI supply chain.

"People First" Policy Ideas that Complement Each Other (through better data flow)

Reacting to a wide-ranging set of policy ideas from OpenAI.

AI is driving the cost of polish down; some musings on fancy versus terse artifacts

AI progress means the "polish" of a figure or website no longer proxies for quality. Can we try to turn this into a good thing for curation, attention allocation, and even AI progress itself?

Two natural allies of a "Data Transparency" agenda: capabilities forecasters and social simulators

Making an "if you like X, you might want to support Y" argument for data-focused policy

A Short Guide to Data Strikes and Conscious Data Contribution in the Context of 2026 Frontier AI

Back to the basics of data leverage.

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

The Coding Agent Data Deal

On user data control, coding agents as retrievers, and the value of your coding transcripts

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

How collective bargaining for information, public AI, and HCI research all fit together

Another recap post for the Data Leverage newsletter! (and a test of using Leaflet for blogging

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 short term.