Except in the new study the signal came from healthy lung tissue, sensing the pre-cancerous devp't
Point to emphasize is this finding in non-smokers--such as the Taiwan cohort 93% non-smokers who had the 14-protein signature
The body of work included human samples, wild-type and mutant mice, human lung organoids, exposure to air pollution
A very impressive study for how we could prevent lung cancer more than 5 years before it is diagnosed. Using machine learning, discovery of a 14-plasma protein signature of risk that predicts responsiveness to an antibody therapy to interleukin, IL-1β
Validated across 8 cohorts
@CellCellPress@CharlesSwanton
https://t.co/qpPtgs1dH0
Identifying an inflection point for Alzheimer's disease from the brains of 80 and 100 year old individuals. Microglia transition is key; initially it is protective vs inflammatory changes triggered by amyloid.
But microglia can turn destructive linked to tau. Resilience in older age, via two divergent pathways, prevents that transition. @NatureMedicine
https://t.co/cyiHYetCVt
A real problem with feeling the acceleration viscerally is that current models are really good and it is hard to feel the vibe difference on most individual tasks with new models, even as AIs continue to increase in ability by large amounts (which they actually are doing).
"As of May 2026, more than 80% of the code we merge into Anthropic’s codebase was authored by Claude."
Matches independent measures. There really is no sign this is slowing down (which doesn't mean there aren't organizational challenges to absorbing this much productivity gain)
I think it is really worth reading this piece on RSI at Anthropic.
There is a bit of navel-gazing, some marketing, and a lot of very sincere beliefs about what Anthropic thinks is likely in the near future of AI that you probably want to be aware of. https://t.co/A5yxryBjHv
Based on anecdotal conversations with peers, there is enthusiasm for AI among academics in the humanities (while still being worried - rightly - about the negative consequences as well), but they generally don't post their opinions about it on social media, for obvious reasons.
🚨I have a new book coming out October 20: Co-Existence!
It is about how we live & work with AIs that are sometimes (but not always) smarter than we are. And it has a cool cover.
You can pre-order: https://t.co/Ti5jo6ksfI
And here is a post with context: https://t.co/YpWvCG4dUD
I spent 13h 54m listening this month. How much time did you listen on Audible this month? Discover your own listening stats in the Audible app! https://t.co/jako2rW9nV
The capabilities of Claude Code and Codex have expanded a lot in recent months, they added many ways to approach work (subagents, skills, goal, workflows, plugins, etc).
Given the AI labs can use their own AI to help documentation, a surprising amount is effectively undocumented
Celebrating the milestone of a massive 150+ million downloads of Gemma 4 with the release of the new Gemma 4 12B model! It's incredibly powerful for such a small model and it’s tiny enough to run locally on a laptop with just 16GB VRAM. Apache 2.0 license - happy building!
A slew of new papers on ultraprocessed foods, likening the food companies to the tobacco industry, and emphasizing the link to dementia @AMJPublicHealth
https://t.co/pgD1yHxa7E
https://t.co/CQF25scTdn
If we are going to make more headway vs neurodegenerative diseases, we need potent brain anti-inflammatory agents. This new review @jclinicalinvest explores targeting the cGAS-STING pathway, which is in clinical trials for other conditions
https://t.co/tWZ5c9OhW9
We believe AI can be a dedicated research partner to help discover the next breakthrough.
Enter Co-Scientist: our latest Gemini-based multi-agent system that can generate, debate and evolve novel hypotheses for complex scientific problems 🧵
There are good things and bad things about AI in education & research just like everywhere else, but it’s also true that it’s not going away and that AI increasingly is becoming part of the tool set available to research & teaching, as well as a subject for both study & learning
My timeline seems to have people surprised that U Chicago is getting Claude, but tons of schools (including U Penn where I teach) have school-wide AI
There are lots of things that need to be figured out about AI & scholarship but safe & equitable access is a necessary foundation