The best write up on the state of AI in a while, from James Somers, with input from my Princeton colleagues Ken Norman, Uri Hasson, Jon Cohen, and many others. Coding with LLMs was a striking moment for me too www.newyorker.com/magazine/202...

Checking out the Princeton trails on our lab retreat

There are still open desks in our new Human & Machine Intelligence lab at Princeton. Express your interest in joining us: lake-lab.github.io/apply/

Today in Nature Machine Intelligence, Kazuki Irie & I discuss 4 classic challenges for neural nets — systematic generalization, catastrophic forgetting, few-shot learning, & reasoning. We argue there is a unifying fix: the right incentives & practice. rdcu.be/eLRmg

Our new lab for Human & Machine Intelligence is officially open at Princeton University! Consider applying for a PhD or Postdoc position, either through Computer Science or Psychology. You can register interest on our new website lake-lab.github.io (1/2)

For much more, see the paper! arxiv.org/abs/2508.05776 By Tom Griffiths, Brenden Lake, Tom McCoy, Ellie Pavlick, and Taylor Webb (@cocoscilab.bsky.social‬, @brendenlake.bsky.social‬, ‪@rtommccoy.bsky.social‬, Ellie Pavlick, @taylorwwebb.bsky.social‬) 9/9

Getting the lab + alums together at CogSci!

I'm joining Princeton University as an Associate Professor of Computer Science and Psychology this fall! Princeton is ambitiously investing in AI and Natural & Artificial Minds, and I'm excited for my lab to contribute. Recruiting postdocs and Ph.D. students in CS and Psychology — join us!

Fantastic new work by @johnchen6.bsky.social (with @brendenlake.bsky.social and me trying not to cause too much trouble). We study systematic generalization in a safety setting and find LLMs struggle to consistently respond safely when we vary how we ask naive questions. More analyses in the paper!

Failures of systematic generalization in LLMs can lead to real-world safety issues. New paper by @johnchen6.bsky.social and @guydav.bsky.social, arxiv.org/abs/2505.21828

Before LLMs, neural nets were task-specific (while humans were task-general). Shockingly, LLMs changed that. How do LLMs represent a task, and do different prompts lead to the same task rep.? Love this by @guydav.bsky.social, and the function vectors of @ericwtodd.bsky.social @davidbau.bsky.social

🤔 Interested in models of social interaction and computational psychiatry? 🤗 If so, @shawnrhoadsphd.bsky.social and I are seeking a highly motivated and talented postdoc to work on these topics! Please share widely! apply.interfolio.com/165809

Despite the world being on fire, I can't help but be thrilled to announce that I'll be starting as an Assistant Professor in the Cognitive Science Program at Dartmouth in Fall '26. I'll be recruiting grad students this upcoming cycle—get in touch if you're interested!

New work in Nature Machine Intelligence by @guydav.bsky.social, @brendenlake.bsky.social, Todd Gureckis, Graham Todd, and Julian Togelius models how humans develop goals—research that could help bridge the gap between human intentions and AI systems. nyudatascience.medium.com/what-is-a-go...

I snuck a moment with my son Logan (2.5), ever the creative goal generator, into Fig. 1: "Papa, I made a Truck Carrier Truck!" How do people compose existing concepts to create new goals? Can models generate and understand goals too? nature.com/articles/s4225

@solimlegris.bsky.social and Wai Keen Vong estimated that average human performance on ARC is about 64%(public eval set). Thus, o3 is clearly better than the average crowd worker tested. Note that almost all tasks were solvable by at least one person who tried it on MTurk. arxiv.org/abs/2409.01374

I'm new here. I heard bluesky is like science Twitter back in the day, and there are fewer posts from Elon Musk. Did I come to the right place?