1/ New @Nature! We study how powerful institutions shape the information environment for LLMs. Commercial LLM training is opaque, so we trace a path from state-coordinated media -> training data -> model responses.
LLMs have been widely reported as left-wing biased. The finding has shaped policy and debate — with Trump banning "Woke AI".
Our new paper challenges this story.
It's not that the models are biased. It's that they think the auditor is. 🧵
w/ michelleschimmel.bsky.social‬arxiv.org/pdf/2604.27633
My new post discusses the probable future of AI-assisted shopping!
Drawing on our recent paper, I argue that if LLMs become the interface through which we search, compare, and buy things, we need a much sharper line between advertising and advice!
doomscrollingbabel.manoel.xyz/p/when-the-a...
📝Excited to share our new preprint, “AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education”: arxiv.org/abs/2606.03095
A thread 🧵 1/8
New preprint!
We introduce a new benchmark, SciConBench, with 9.11k scientific questions derived from Cochrane Systematic Reviews.
We find evidence that frontier AI agents **cannot** synthesize scientific conclusions well.
A thread 🧵
w/ @hayoungjung.bsky.social & others!
Important thread and paper. This is one of my biggest worries about chatbots, especially when combined with roleplay and any kind of user-chatbot "relationship." And now imagine persuasion for politics and other topics, not just purchasing choices...
Brandon Stewart
Petter Törnberg
Manoel Horta Ribeiro
Manoel Horta Ribeiro
Romina Mahinpei
This post describes our recent paper: Commercial Persuasion in AI-Mediated Conversations
Our results show that conversational agents can covertly redirect consumer choices at scale, most users cannot tell when it is happening, and existing transparency mechanisms are insufficient. We call for further regulatory scrutiny and structural safeguards.
