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Studying multi-agent collaboration 🤝🧩🤖 PhD Candidate at Princeton CS with Tom Griffiths & Natalia Vélez @cocoscilab.bsky.social @velezcolab.bsky.social Prev: Cornell CS, MIT BCS
Elizabeth Mieczkowski



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Are the laws of thought woven from three golden threads? Tom @cocoscilab.bsky.social and I discuss some of the history and themes in logic, probability, and neural nets, in his new book The Laws of Thought. braininspired.co/podcast/233/
2mo
🚨New preprint and our results are rather concerning.. We find the "boiling frog" equivalent of AI use. Using large-scale RCTs, we provide *casual* evidence that AI assistance reduces persistence and hurts independent performance. And these effects emerge after just 10–15 minutes of AI use! 1/
2mo
CDS Faculty Fellow @sucholutsky.bsky.social co-authored a new paper arguing that teams of language models should be studied like distributed computer systems, with similar coordination and scaling challenges. arxiv.org/abs/2603.12229
Paul Middlebrooks
6d
Rachit Dubey
Large language models (LLMs) are growing increasingly capable, prompting recent interest in LLM teams. Yet, despite increased deployment of LLM teams at scale, we lack a principled framework for addre...
arxiv.org
Language Model Teams as Distributed Systems
Sycophantic AI distorts reality by returning responses that are biased to reinforce existing beliefs. "sycophantic AI distorts belief, manufacturing certainty where there should be doubt." Unbiased sampling produces discovery rates 5X higher! arxiv.org/pdf/2602.14270
3mo
NYU Center for Data Science
Jay Van Bavel, PhD