The Who's Who of AI

“George Pólya famously said that `it is better to solve one problem five different ways than five problems one way.' He'd be sad to learn what we found: RLVR pushes LLMs in exactly the opposite direction, toward solving each problem in just one way! 📜: arxiv…”

“🚨SciConBench accepted at #NeurIPS2026! Paper: arxiv.org/abs/2606.11337 Can AI *synthesize* scientific conclusions in health? We find that, on medical conclusions, we are far from it! Check out our live dashboard: sciconbench.cs.princeton.edu led by @hayoung…”

“The law doesn't force a choice between surveillance-driven feeds and an unusable firehose. A large design space remains, and my lab works on intentional feeds, for example, with Bonsai (CHI 2026). arxiv.org/abs/2509.10776”

“Somewhat hastily written in NJ transit! I argue that AI is great at finding flaws in paper but that peer reviewing is actually about the friends we make along the way (or something like this) doomscrollingbabel.manoel.xyz/p/ai-comes-f...”

“New blog post! I argue that the “stochastic parrots” metaphor dismisses LLM capabilities by reducing them to “haphazardly stitching together” text... ...but retreats to the trivially true claim that LLMs predict the next token when challenged. doomscrolling…”

“doomscrollingbabel.manoel.xyz/p/of-mottes-... most of you are better off reading this than arguing with whoever on here”

“What can other communities learn from WikiVault? We discuss how communities can navigate the uncertainties of adopting LLMs, learn from their use, and adapt governance along the way. Read more about these lessons and open questions in our preprint! 📄 arxiv.…”