Like (nearly) everyone else who worked on theory at some point in their academic career, I have some thoughts on the recent developments in AI and how it may impact the way that we perform and evaluate theoretical research.
1/6 🧵 Calibration is hard. Multicalibration—fixing errors across every possible subgroup—is usually impossible at scale. Until now. Introducing MCGrad: A production-ready multicalibration library from Meta, accepted at KDD 2026. 🚀 github.com/facebookincuba…
Cursor made me a chrome extension which redirects any html arxiv links that you stumble across on the internet to the pdf version of the arxiv paper instead. Could be useful for some others, but use at your own risk!
🚨 Position paper alert! 🚨
LLM uncertainty quantification (UQ) has been explored with the goal of enabling better reliance on LLMs by humans. However, we argue that common LLM UQ practices are detached from this human-centric aspiration.😭😭
arxiv.org/abs/2506.07461