www.anthropic.com/news/fable-m...
Stephen Turner
Researcher with public evidence across AI research.
- AI signals
- 37 past 30d
- Sources
- 24 distinct domains
- Discusiones
- 3 past 30d
- Latest signal
- 3h ago
Articles & links
www.nature.com/articles/d41...
Is there any genuine 100% human-written text on the internet anymore? www.404media.co/company-offe...
Interesting data and analysis behind NeurIPS's new AI policy blog.neurips.cc/2026/06/02/a...
- 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.
This one is wild huggingface.co/blog/securit...
- 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.
Blog: www.anthropic.com/news/claude-...
isaiprofitable.com
- 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.
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…
- 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.
support.claude.com/en/articles/... Acknowledged limitations: content touched at any point by Claude could pop a positive. Content that returns negative could still be Claude-generated. Fully human written text may be marked as Claude-generated. 🤷♂️
- Anthropic has committed to the EU AI Act's Article 50(2) Code of Practice on Transparency of AI-Generated Content, per its Claude support docs.
- Claude models released on or after August 2, 2026 support machine-readable marking at launch; earlier models are still being retrofitted.
- Text gets an imperceptible watermark; .svg, .png, and .jpg outputs get signed C2PA provenance metadata, but Anthropic says detection is not conclusive.
Good essay from Cal Newport (Deep Work, Slow Productivity, ...) www.nytimes.com/2026/06/17/o... (gift link 🎁)
Data visualization of the week right here www.insidehighered.com/news/faculty...
Technical report: github.com/MoonshotAI/K... Weights: huggingface.co/moonshotai/K...
Recent commentary
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.
I'd like to see the Claude/ChatGPT histories of all these folks booing commencement speakers off stage 🤔
Ironic and amusing that ElevenReader and NYT Audio and the like *always* mispronounce “AI”.
In Stephen Turner's orbit
Center = Stephen Turner. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.