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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…
Jun 20
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Nick Vincent
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Algorithmic Collective Action With Two Collectives [crosspost]
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On AI-driven Job Apocalypses and Collective Bargaining for Information
Reacting to a fresh wave of discussion about AI's impact on the economy and power concentration, and reiterating the potential role of collective…
Jun 5
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Nick Vincent
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On AI-driven Job Apocalypses and Collective Bargaining for Information
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May 2025
How do we know our AI output is good? Double checks, bar charts, vibes, and training data.
Connecting evaluation and dataset documentation via the lens of "AI as ranking".
May 30
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Nick Vincent
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How do we know our AI output is good? Double checks, bar charts, vibes, and training data.
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Each Instance of "AI Utility" Stems from Some Human Act(s) of Information Recording and Ranking
It's ranking information all the way down.
May 28
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Nick Vincent
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Each Instance of "AI Utility" Stems from Some Human Act(s) of Information Recording and Ranking
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Google and TikTok rank bundles of information; ChatGPT ranks grains.
Google and others solve our attentional problem by ranking discrete bundles of information, whereas ChatGPT ranks more granular chunks. This lens can…
May 27
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Nick Vincent
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Google and TikTok rank bundles of information; ChatGPT ranks grains.
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April 2025
[microblog] One book is worth "0.06%" benchmark points to AI; is "no different from noise". What gives?
Commenting on recent coverage of, and discussion about, Meta's arguments about training data value quantification.
Apr 21
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Nick Vincent
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[microblog] One book is worth "0.06%" benchmark points to AI; is "no different from noise". What gives?
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Public AI, Data Appraisal, and Data Debates
A consortium of Public AI labs can substantially improve data pricing, which may also help to concretize debates about the ethics and legality of…
Apr 3
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Nick Vincent
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Public AI, Data Appraisal, and Data Debates
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March 2025
Evaluation Data Leverage: Advances like "Deep Research" Highlight a Looming Opportunity for Bargaining Power
Research agents and increasingly general reasoning models open the door for immense "evaluation data leverage".
Mar 2
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Nick Vincent
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Evaluation Data Leverage: Advances like "Deep Research" Highlight a Looming Opportunity for Bargaining Power
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February 2025
Tipping Points for Content Ecosystems
Our AI design choices in 2024 could preclude "Powerful AI" in 2030.
Feb 12
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Nick Vincent
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Tipping Points for Content Ecosystems
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January 2025
AI Labs Should Open Source Data Protection Technologies
There's still incredible tension in the current data paradigm, but sharing "data protection" technologies, like those used by OpenAI to accuse DeepSeek…
Jan 31
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Nick Vincent
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AI Labs Should Open Source Data Protection Technologies
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Live by the free-content-for-training sword, die by the free-content-for-training sword
There's deep tension in the current ask-for-forgiveness-free-for-all approach to acquiring data for model training. Will "open" models cause this…
Jan 28
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Nick Vincent
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Live by the free-content-for-training sword, die by the free-content-for-training sword
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December 2024
Selling AGI like AG1: Will Consumers Push Back Against Proprietary Blends of Herbs and of Data?
The race to produce premiere AI products with high price tags might change the standards around data disclosure.
Dec 12, 2024
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Nick Vincent
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Selling AGI like AG1: Will Consumers Push Back Against Proprietary Blends of Herbs and of Data?
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