www.anthropic.com/news/fable-m...
Who's Who of AI
Stephen Turner
Why they matter
Researcher with public evidence across AI research.
- AI signals
- 225 past 30d
- Sources
- 28 distinct domains
- Discussões
- 5 past 30d
- Latest signal
- 1d ago
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
Statement on the US government directive to suspend access to Fable 5 and Mythos 5 anthropic.com
Is AI ruining our skills? Early results are in — and they’re not good nature.com
nytimes.com
Anthropic announces its molecular research group and laboratory anthropic.com
Security incident disclosure — July 2026 huggingface.co
Mathematics in the age of AI arxiv.org
Company Offering ‘100% Human-Written, Never AI’ Medical Research Is Entirely AI 404media.co
nytimes.com
AI-Generated Papers in the NeurIPS 2026 Position Paper Track – NeurIPS Blog blog.neurips.cc
Is AI Profitable Yet? isaiprofitable.com
nytimes.com
Claude Science, an AI workbench for scientists anthropic.com
Articles & links
www.nature.com/articles/d41...
Do you actually need the instructor at all then? www.nytimes.com/2026/08/22/b...
Probably the wrong platform to post anything remotely positive about AI, but reading through this and Dario’s X post, it’s pretty exciting stuff www.anthropic.com/news/claude-...
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This one is wild huggingface.co/blog/securit...
AI Weekly's analysis
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- 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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Terence Tao: Mathematics in the age of AI arxiv.org/abs/2608.16753
AI Weekly's analysis
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- Terence Tao's ICM 2026 essay sidesteps the debate over AI's math capability and focuses on how results are verified, communicated and digested by the community.
- In the First Proof evaluation Tao cites, seven of ten novel problems got at least one passing grade from an AI system, at tens to hundreds of dollars each.
- Tao would block publication if authors cannot give a clear, expert-level talk on their own AI-assisted result, and requires disclosure of any tool use.
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Is there any genuine 100% human-written text on the internet anymore? www.404media.co/company-offe...
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Meanwhile in New York www.nytimes.com/2026/09/01/n...
Interesting data and analysis behind NeurIPS's new AI policy blog.neurips.cc/2026/06/02/a...
AI Weekly's analysis
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- 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.
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isaiprofitable.com
AI Weekly's analysis
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- 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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Good weekend to be headed to Washington for the Global Challenges Project biosecurity workshop 😬 www.nytimes.com/2026/09/10/u...
Blog: www.anthropic.com/news/claude-...
Their own posts
Recent commentary
Went on live TV news last night talking about AI safety and #biosecurity
New definition of "zero-shot" in AI: when a single prompt chews through an entire session limit before getting responding and returns nothing. #astra #fable
Someone please define these terms for me. 1. AI literacy. 2. AI fluency. 3. AI governance. And don’t ask AI.
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?
Amusing that Pangram detects large portions of my PhD thesis as AI generated. (I wrote it nearly 20 years ago).
A couple of years ago I was pitching a major poultry industry company on AI enabled precision genome editing. Two hours into the meeting I learned that “AI” to them obviously referred to Avian Influenza. Know your audience.
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.
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/ 🧵
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.
I just reviewed a job application where the applicant provided a Google Drive link to a 5 minute video recording of herself talking about her background, research, why she's interested in the position. In this era of post-a-job-get-1000s-of-AI-applicants, this is a **great** way to stand out.
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