Nick Vincent’s writing
Data Leverage
Public drafts
View all 8 →Work in progress.
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August 2026 notes on stubs
Longer focus posts I want to write or find
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Using AI kind of involves interacting with other people
A focused note on generative AI use as mediated interaction with upstream human contributors.
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Data work
Reacting to a story about Meta giving tech workers data labeling tasks.
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Scoping AI dividend policies
Independent AI auditors can help determine which firms and models should fall within AI-targeted economic policies.
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An AI Dividends Plan that Combines Capabilities Assessment and Data Attribution: Without Taxing Compute or Requiring State Ownership
Data dividends based on capability measurement, data provenance, and AI auditing.
Archive
View all 45 →Previously published articles, preserved with their original source links.
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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.
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April 2026 small points
A running collection of short ideas about sovereign AI, augmentation, evaluation labor, data pipelines, and quasi-enclosure.
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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.
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"People First" Policy Ideas that Complement Each Other (through better data flow)
Reacting to a wide-ranging set of policy ideas from OpenAI.
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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?