Come work with us at CMU! We're hiring tenure-track asst profs in the Dept of Statistics & Data Science cmu.edu/dietrich/stati…

#GenAI doesn’t have a coherent understanding of the world. New research from Ashesh Rambachan and 𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧 shows that even the best-performing LLMs don’t form a true model of the world and its rules, and can thus fail unexpectedly on similar tasks. bit.ly/40JJvON

New working paper with Ashesh Rambachan and Rahul Singh! Link to paper: arxiv.org/pdf/2411.10959 + slides: dviviano.github.io/projects/prese… More discussion and long thread on "Cielo Azzurro"

NBER Digital Economics and AI meeting at Stanford. Deadline December 16. nber.org/conferences/di…

New working paper with 𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧 and Jens Ludwig on using LLM outputs in empirical research. Thread coming soon. Link to paper: arxiv.org/abs/2412.07031…

Applications are open for the Machine Learning in Economics Summer Institute (MLESI) 2025 are open! If you're a graduate student, come learn about ML/AI and its uses throughout economics. Application and more info can be found here: chicagobooth.edu/research/cente…

MLESI Applications are NOW OPEN! We're excited for another transformative summer at the intersection of AI and Economics—we hope you are too! #MLESI25 Apply now: buff.ly/3CoaFkp

Are you PhD student interested in AI/ML & economics? Apply to the Machine Learning in Economics Summer Institute at Chicago Booth, Aug 7-13. Two-part program includes lectures from experts + 2-day conference on cutting-edge research. Deadline March 28, plz RT. Link in reply.

🚨Deadline extended!🚨 We have extended the MLESI application deadline to April 11th—If you were considering it, this is your sign to apply. docs.google.com/forms/d/e/1FAI…

Recently accepted by #QJE, “Structural Estimation Under Misspecification: Theory and Implications for Practice,” by Andrews, Barahona (Nano Barahona), Gentzkow, Rambachan (Ashesh Rambachan), and Shapiro: doi.org/10.1093/qje/qj…

Please submit your AI/ML + Econ work to the Machine Learning in Economics Summer Conference at Booth! Deadline: May 9 Link in reply. Please RT.

4 days left to apply! Submit your application today: docs.google.com/forms/d/e/1FAI…

Reminder to submit your papers to the Machine Learning in Economics Summer Conference (MLESC) at Chicago Booth. The deadline is May 9th. We would love to read your work! chicagobooth.edu/research/cente…

Excited to see our work on world models covered in the The Wall Street Journal! Thank you Christopher Mims 🤌 for highlighting these topics

The deadline to submit your work to the Machine Learning in Economics Summer Conference (MLESC) is in one week! Send us your work! chicagobooth.edu/research/cente…

Can an AI model predict perfectly and still have a terrible world model? What would that even mean? Our new ICML paper formalizes these questions One result tells the story: A transformer trained on 10M solar systems nails planetary orbits. But it botches gravitational laws 🧵

Really excited about this paper. Part of our continued efforts to make sense of what ML models are and aren’t doing.

Thread on a new paper about world models with ᴘᴇᴛᴇʀ ɢ. ᴄʜᴀɴɢ, Keyon Vafa, and 𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧!

#QJE Aug 2025, #3, “Structural Estimation Under Misspecification: Theory and Implications for Practice,” by Andrews, Barahona (Nano Barahona), Gentzkow, Rambachan (Ashesh Rambachan), and Shapiro: doi.org/10.1093/qje/qj…

Researchers from Harvard, Keyon Vafa (Keyon Vafa) and MIT, Peter Chang (ᴘᴇᴛᴇʀ ɢ. ᴄʜᴀɴɢ), Ashesh Rambachan (Ashesh Rambachan), and Sendhil Mullainathan (𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧) have published what I consider the most interesting study on the abilities of AI models in 2025. They wanted to address