I'm a member of technical staff at MIT CSAIL, where I work on economics, computing and machine learning. I'm also the Associate Director of Epoch. I hold an MPhil in Economics from the University of Cambridge, where I was awarded the Stevenson prize for top performance in the cohort.
Research
Economic impacts of AI-augmented R&D
Tamay Besiroglu, Nicholas Emery-Xu, Neil Thompson
Compute trends across three eras of machine learning
Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos
Algorithmic progress in computer vision
Ege Erdil, Tamay Besiroglu
Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Pablo Villalobos, Jaime Sevilla, Lennart Heim, Tamay Besiroglu, Marius Hobbhahn, Anson Ho
Inferring the effectiveness of government interventions against COVID-19
Jan M Brauner, Sören Mindermann, Mrinank Sharma, David Johnston, John Salvatier, Tomáš Gavenčiak, Anna B Stephenson, Gavin Leech, George Altman, Vladimir Mikulik, Alexander John Norman, Joshua Teperowski Monrad, Tamay Besiroglu, et al.
Parameter, Compute and Data Trends in Machine Learning
Jaime Sevilla, Pablo Villalobos, Juan Felipe Cerón, Matthew Burtell, Lennart Heim, Amogh B. Nanjajjar, Anson Ho, Tamay Besiroglu, Marius Hobbhahn Jean-Stanislas Denain, and Owen Dudney
Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, JB Rubinovitz, Tamay Besiroglu, et al.
Are models getting harder to find?
Tamay Besiroglu
Chimeric forecasting: combining probabilistic predictions from computational models and human judgment
Thomas McAndrew, Allison Codi, Juan Cambeiro, Tamay Besiroglu, David Braun, Eva Chen, Luis Enrique Urtubey de Cesaris, Damon Luk
Tools and aggregation techniques for epidemiological forecasting
Thomas McAndrew, Juan Cambeiro, Allison Codi, Tamay Besiroglu, David Braun, Eva Chen, Luis Enrique Urtubey de Cesaris, Damon Luk, Maimuna S Majumder, Andrew A Lover, Srini Venkatramanan, Paolo Bocchini, David Braun, Gaia Dempsey Sam Abbott, Sylvain Chevalier, Nikos I Bosse
Media
- My work on compute in Machine Learning was the first thing cited in Google's CEO Sundar Pichai's announcement of Bard.
- My work and datasets on the long-run history of AI feature in Our World In Data's The brief history of artificial intelligence
- An article I co-authored was on data-usage in AI was discussed in The Atlantic, New Scientist, and MIT Technology Review
- I was on 5 Quick Questions with James Pethokoukis of the American Enterprise Institute
- The Economist’s June 2022 cover article on AI featured our work on compute trends in machine learning, as did their coverage on Large Language Models
- The Financial Times and VentureBeat covered our work on promoting trustworthy AI development
- The University of Cambridge's economics faculty wrote about me and my work on my COVID-19-related work