www.anthropic.com/news/fable-m...
Stephen Turner
Articles & links
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.
Ehhh, I wouldn't call this FOMO. "48% said that they feel negative towards AI...Only 23% of the respondents felt that AI tools were having a positive impact on research, whereas 31% said that the technology was negatively affecting science." www.nature.com/articles/d41...
The diffusion of large language models in published academic articles www.pnas.org/doi/10.1073/...
isaiprofitable.com
Good essay from Cal Newport (Deep Work, Slow Productivity, ...) www.nytimes.com/2026/06/17/o... (gift link 🎁)
Claude Opus 4.8 - if this honesty thing is real that'd be nice www.anthropic.com/news/claude-...
- Opus 4.8 matches Opus 4.7 pricing at $5/$25/M tokens; Effort Modes replace pricing tiers as the cost-quality dial.
- Dynamic Workflows impose hard ceilings: 1,000 total subagents, 16 concurrent; workflow plans live in JavaScript variables outside Claude's context window.
- SWE-bench Pro score jumps from 64.3% (Opus 4.7) to 69.2% (Opus 4.8); the model flags its own code flaws 4x more often than its predecessor.
140,000 fake citations in 2025 alone 😱 www.nature.com/articles/d41...
AI Chatbot Use and Disclosure for Mental Health Among US Adolescents and Young Adults: jamanetwork.com/journals/jam... 20% of 12- to 21-year olds use ChatGPT and the like for mental health advice, most without telling anyone about it.
This one hits hard www.newyorker.com/news/fault-l...
LifeSciBench: Evaluating Language Models on Realistic, Expert-Level Tasks in the Life Sciences (PDF): cdn.openai.com/pdf/b4299379... Blog post: openai.com/index/introd...
Recent commentary
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/ 🧵
I'd like to see the Claude/ChatGPT histories of all these folks booing commencement speakers off stage 🤔
In Stephen Turner's orbit
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