Who's Who of AI

Chad Topaz Queer DEI Race Traitor

90 trust researcher @chadtopaz.bsky.social · 9,186 followers
AI research
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Researcher with public evidence across AI research.

AI signals
2
past 30d
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1
distinct domains
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7
past 30d
Latest signal
19h ago
View every signal from Chad Topaz Queer DEI Race Traitor →
Data science + math for social justice. Violist, yogi, husband, dad to human & dogs. 🏳️‍🌈 Views do not represent my employers. Author of Unlocking Justice: The Power of Data to Confront Inequity and Create Change. Preorder at: https://bit.ly/4nT7qUh
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I'm grateful to have been in (asynchronous) communication with @kylesiler.bsky.social about his important paper, "The diffusion of large language models in published academic articles." A colleague and I had comments; Siler had great responses. Read his insightful work and the…

pnas.org
AI Weekly's analysis →
  • By 2025 roughly 57% of articles across 7.3 million sampled papers showed LLM-associated language, up from about 12% in 2023.
  • The study, by Kyle Siler of the University of Toronto in PNAS, spans full texts from Elsevier, Frontiers, MDPI, and PLoS from 2020 to 2025.
  • Lower-ranked institutions, young for-profit publishers, and regions further from English as a primary language showed the highest LLM-associated language rates.
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View on Bluesky · ♥ 3 ↻ 0 ↩ 2 · 3 from the directory shared this · 19h ago

I am very excited to have this out in PNAS as of right now. This one is a case of: I can believe a thing to be true (increased LLM usage) but I can also believe that a particular set of evidence does not demonstrate that truth. www.pnas.org/doi/10.1073/...

pnas.org
View on Bluesky · ♥ 7 ↻ 4 ↩ 0 · 2 from the directory shared this · 1d ago
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