I'm a member of technical staff at MIT CSAIL, where I work on economics, computing and machine learning. I hold an MPhil in Economics from the University of Cambridge, where I was awarded the Stevenson prize for top performance in the cohort.
Economic impacts of AI-augmented R&D
Tamay Besiroglu, Nicholas Emery-Xu, Neil Thompson
Please report your compute
Jaime Sevilla, Anson Ho, Tamay Besiroglu
Integrated assessment model for AI (work in progress)
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
Are models getting harder to find?
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, et al.