Not for sale.

The Call for Papers is still open for the LXAI Workshop at ICML 2023! Just 9 days left until the deadline on May 12th AoE 🕘 For more info, and to submit, check the links below 👇 Submission site: buff.ly/3ATgIsE Workshop info: buff.ly/3ZPDJH2

Ilya Sutskever People building AGI unable to predict consequences of their actions 3 days in advance.

I am very happy to present my first *last-author* paper (advisory role) at #ICLR2024! Huge thanks to Meraj Juan Ramirez Rohan Sukumaran @ NeurIPS for all the hard work, and to Golnoosh Farnadi @NeurIPS2024 and Simon Lacoste-Julien for their support in this mentorship journey. Today 4.30 at Hall B #221!

I feel attacked by this meme 😂

🔥I am proud to now start @Entalpic_ai with the amazing Mathieu Galtier and Alexandre Duval. We'll focus chemistry & materials discovery for carbon intensive industries🌎🌍🌏 Currently hiring ~10👫 so feel free to spread the word around or join us yourself...😏 entalpic.notion.site/Entalpic-is-hi…

Interested in constraining your NN to be fair, safe, or sparse? Our #ICML2024 paper introduces the νPI algorithm for improved dynamics in Lagrangian optimization! 🚀 w/ Juan Ramirez Helen Zhang Simon Lacoste-Julien Jose Gallego-Posada at Mila - Institut québécois d'IA openreview.net/forum?id=1khG2… 🧵

Interested in NNs with improved tail performance? Our #AISTATS2025 paper introduces Feasible Learning, a sample-centric learning paradigm that bounds per-sample losses! Nacho Hounie Juan Elenter Jose Gallego-Posada Meraj A. Ribeiro Simon Lacoste-Julien arxiv.org/abs/2501.14912 🧵

🚨 New Workshop Alert! 🚨 COML NeurIPS Conference 2025 — The first Workshop on Constrained Optimization for Machine Learning is coming to San Diego, Dec 2–7! 🌴 Website: constrained-opt-ml.github.io 🧵