Archive

• AI Dividends Without Taxing Compute, Automation, or Equity: A Presumptive Commons-Rent Tax Based on Capabilities and Data DependenceJune 06, 2026
• The AI "Evaluation Crisis" Is an Opportunity to Get Data Flow RightApril 29, 2026
• Attestation across the AI Supply ChainApril 08, 2026
• "People First" Policy Ideas that Complement Each Other (through better data flow)April 05, 2026
• AI is driving the cost of polish down; some musings on fancy versus terse artifactsMarch 31, 2026
• Two natural allies of a "Data Transparency" agenda: capabilities forecasters and social simulatorsMarch 08, 2026
• A Short Guide to Data Strikes and Conscious Data Contribution in the Context of 2026 Frontier AIMarch 02, 2026
• The Paradox of Reuse in 2026: A Case of Quasi-Enclosure, or "Subsidized Club Goods that Sort of Look Like Public Goods"February 16, 2026
• The Coding Agent Data DealJanuary 11, 2026
• Coding agents are (1) a big deal, (2) very relevant to data leverage, and (3) able to help build tools that support data leverage!January 04, 2026
• How collective bargaining for information, public AI, and HCI research all fit togetherDecember 23, 2025
• Almost Everybody -- Including Both Data Creators and AI Companies -- Stands to Benefit from Clearer "Data Rules".November 25, 2025
• How collective bargaining for information, public AI, and HCI research all fit togetherOctober 10, 2025
• Which datasets should we assume are "in all the AI models"?September 23, 2025
• Algorithmic Collective Action With Two Collectives [crosspost]June 19, 2025
• On AI-driven Job Apocalypses and Collective Bargaining for InformationJune 04, 2025
• How do we know our AI output is good? Double checks, bar charts, vibes, and training data.May 29, 2025
• Each Instance of "AI Utility" Stems from Some Human Act(s) of Information Recording and RankingMay 27, 2025
• Google and TikTok rank bundles of information; ChatGPT ranks grains.May 26, 2025
• [microblog] One book is worth "0.06%" benchmark points to AI; is "no different from noise". What gives?April 20, 2025
• Public AI, Data Appraisal, and Data DebatesApril 02, 2025
• Evaluation Data Leverage: Advances like "Deep Research" Highlight a Looming Opportunity for Bargaining PowerMarch 01, 2025
• Tipping Points for Content EcosystemsFebruary 11, 2025
• AI Labs Should Open Source Data Protection TechnologiesJanuary 30, 2025
• Live by the free-content-for-training sword, die by the free-content-for-training swordJanuary 27, 2025
• Selling AGI like AG1: Will Consumers Push Back Against Proprietary Blends of Herbs and of Data?December 11, 2024
• Perplexity CEO's Interaction with Striking New York Times Workers Does Not Reflect Well on the AI IndustryNovember 08, 2024
• Is Zuckerberg right to say that your specific creative work has no value to AI?September 27, 2024
• "Many Models" and "Track Changes" for AI: Some Thoughts on LLM InterfacesAugust 07, 2024
• Building a Data Pipeworks for Democratic AI: From Human Knowledge to Records to AI SystemsNovember 12, 2023
• Will the New York Times Data Strike Have a Large Impact on ChatGPT?September 27, 2023
• A Harbinger of the Future of Content? The New York Times Starts a Data StrikeAugust 24, 2023
• The WGA Strike is a Canary in the Coal Mine for AI Labor ConcernsMay 04, 2023
• Reddit, StackOverflow, and Europe: All Trending Towards Data DignityApril 30, 2023
• Data Leverage Recap: December 2022 - April 2023April 17, 2023
• Bing Rewards for the AI AgeMarch 29, 2023
• Plural AI Data AlignmentMarch 01, 2023
• AI Technologies are System Maps, and You are a CartographerFebruary 02, 2023
• AI Artist or AI Art Thief? Innovation, Public Mandates, and the Case for Talking in Terms of LeverageDecember 15, 2022
• ChatGPT is Awesome and Scary: You Deserve Credit for the Good Parts (and Might Help Fix the Bad Parts)December 03, 2022
• The Paradox of Reuse, Language Models EditionDecember 01, 2022
• Don’t give OpenAI all the credit for GPT-3: You might have helped create the latest “astonishing” advance in AI tooSeptember 21, 2020