Aligning an AI with human preferences might be hard. But there is more than one AI out there, and users can choose which to use. Can we get the benefits of a fully aligned AI without solving the alignment problem? In a new paper we study a setting in which the answer is yes.

Come hang out with us at COLT 2025 and think about crafting and communicating your research agenda!

📣Join us at COLT 2025 in Lyon for a community event! 📅When: Mon, June 30 | 16:00 CET What: Fireside chat w/ Peter Bartlett & Vitaly Feldman on communicating a research agenda, followed by mentorship roundtable to practice elevator pitches & mingle w/ COLT community! let-all.com/colt25.html

What if there were a workshop dedicated to *small-scale*, *reproducible* experiments? What if this were at ICML 2025? What if your submission (due May 22nd) could literally be a Jupyter notebook?? Pretty excited this is happening. Spread the word! sites.google.com/view/moss202...

I'm at #ICLR2025 🇸🇬 and will be presenting Conformal Language Model Reasoning with Coherent Factuality (arXiv to come soon) this afternoon (4/24, poster session 2)! This work is with my amazing collaborators Max Rubin-Toles, Maya Gambhir, @aaroth.bsky.social, and @surbhigoel.bsky.social!

Suppose you and I both have different features about the same instance. Maybe I have CT scans and you have physician notes. We'd like to collaborate to make predictions that are more accurate than possible from either feature set alone, while only having to train on our own data.

The paper is here: arxiv.org/abs/2504.06075 and is joint work with the excellent @ncollina.bsky.social , @iraglobusharris.bsky.social , @surbhigoel.bsky.social , Varun Gupta, and Mirah Shi!

Super excited about this new paper on human/model collaboration via agreement protocols! Joint work with the amazing @ncollina.bsky.social @vgup.bsky.social @aaroth.bsky.social 🌸