Who's Who of AI

Stephen Turner

101 trust researcher @stephenturner.us · 9,193 followers
AI research
Why they matter

Researcher with public evidence across AI research.

AI signals
41
past 30d
Sources
23
distinct domains
Discussions
2
past 30d
Latest signal
1h ago
View every signal from Stephen Turner →
Associate Professor and Research Dean at UVA School of Data Science, #Rstats enthusiast, dad, runner, guitar noise-maker. Views my own. Web: https://datascience.virginia.edu/people/stephen-turner Newsletter: https://blog.stephenturner.us
What they're sharing

Articles & links

Interesting data and analysis behind NeurIPS's new AI policy blog.neurips.cc/2026/06/02/a...

AI-Generated Papers in the NeurIPS 2026 Position Paper Track – NeurIPS Blog blog.neurips.cc
AI Weekly's analysis →
  • NeurIPS desk-rejected 178 papers (18.4%) via Pangram; 123 more must prove human authorship by June 15, 2026.
  • Default Pangram window sizes flagged 42.7% of submissions; refined 100-word windows reduced that rate to 12.7%.
  • Comparison venues FAccT 2025 and NeurIPS E&D 2026 showed 0% and 2.1% maximum AI scores respectively.
Read full analysis →
View on Bluesky · ♥ 0 ↻ 2 ↩ 0 · 7 from the directory shared this · 56d ago

Go read the NYT and Science articles, but I'd recommend reading the actual report in full, not just the AI summaries / news coverage. There are some very reasonable arguments in this report we need to contend with as a scientific community, not just orange-man-bad-report-is-no…

nytimes.com
AI Weekly's analysis →
  • The White House's July 21 report 'Science: A New Golden Age' reshapes a roughly $200 billion federal R&D budget, steering money away from universities.
  • OSTP director Michael Kratsios and OMB director Russell Vought want portable 'golden ticket' awards that follow individual scientists, not their institutions.
  • A companion Genesis Mission commitment adds more than $5 billion for AI-driven research across 15-plus agencies, from drug discovery to grid modernization.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 1 · 7 from the directory shared this · 4d ago

isaiprofitable.com

Is AI Profitable Yet? isaiprofitable.com
AI Weekly's analysis →
  • The AI industry has spent roughly $1.4 trillion against $613 billion in revenue, leaving almost every major player still in the red.
  • Amazon leads all spenders at $313 billion invested; NVIDIA is the sole major AI player currently in the black, profiting from hardware.
  • The site's anonymous creator predicts clarity on AI viability by 2030 and notes Anthropic recently approached its first profitable quarter.
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View on Bluesky · ♥ 5 ↻ 0 ↩ 0 · 10 from the directory shared this · 56d ago

This one is wild huggingface.co/blog/securit...

Security incident disclosure — July 2026 huggingface.co
AI Weekly's analysis →
  • The attacker's agent ran 17,000+ actions across short-lived sandboxes, compressing multi-stage lateral movement into a single weekend.
  • Commercial model APIs blocked forensic requests containing real exploit artifacts, forcing Hugging Face to pivot to open-weight GLM 5.2 on private infrastructure.
  • The intrusion entered via a remote dataset RCE loader and configuration template injection, not through the model-serving layer.
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View on Bluesky · ♥ 2 ↻ 0 ↩ 1 · 5 from the directory shared this · 9d ago

The diffusion of large language models in published academic articles www.pnas.org/doi/10.1073/...

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 · ♥ 2 ↻ 0 ↩ 0 · 3 from the directory shared this · 55d ago
Their own posts

Recent commentary

Someone please define these terms for me. 1. AI literacy. 2. AI fluency. 3. AI governance. And don’t ask AI.

View on Bluesky · ♥ 4 ↻ 0 ↩ 5 · 33d ago

Interesting. In my throes of insomnia, asking Opus 5 and GPT-5.6-Sol a few early morning questions. 1. What is the biggest scam that humanity has collectively accepted as normal? 2. What has fundamentally changed the world for the worst but humans have not yet realized?

View on Bluesky · ♥ 9 ↻ 1 ↩ 1 · 3d ago

Amusing that Pangram detects large portions of my PhD thesis as AI generated. (I wrote it nearly 20 years ago).

View on Bluesky · ♥ 6 ↻ 2 ↩ 1 · 1d ago

IANAL, but pretty sure if you publish a preprint under CC-BY, you're effectively telling the world, any AI company, qed, whoever: "here's my paper, you have my permission to do whatever you want to with it." Which includes AI training to create a derivative product and sell it back to you.

View on Bluesky · ♥ 3 ↻ 0 ↩ 3 · 30d ago

X/LinkedIn these days: Let's dive in and delve into the rich tapestry of your load-bearing claim—rather than merely accepting it—because fundamentally you're doing zero moves there, and the gap is what's actually interesting. It's worth noting: this is a paradigm-shifting, AI-driven opportunity 1/ 🧵

View on Bluesky · ♥ 4 ↻ 1 ↩ 1 · 55d ago

Breaking my AI Dry July to ask America's next top model, 5.6-Sol, a very important question that most people get obviously wrong despite all the available evidence. Sol gets it correct on the first try.

View on Bluesky · ♥ 2 ↻ 0 ↩ 2 · 19d ago

I'd like to see the Claude/ChatGPT histories of all these folks booing commencement speakers off stage 🤔

View on Bluesky · ♥ 3 ↻ 0 ↩ 0 · 67d ago

Ironic and amusing that ElevenReader and NYT Audio and the like *always* mispronounce “AI”.

View on Bluesky · ♥ 1 ↻ 0 ↩ 0 · 8d ago
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