An interdisciplinary research group working to understand the economic and technical foundations of progress in computing @MIT_CSAIL & @mit_ide

Cambridge, Massachusetts
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Thank you to co-authors Matthias Martens, Adam Kuzee (@adamkuzee), Brittany Harris, Harry Lyu, Wensu Li (@li_wensu), Jonathan Rosenfeld, Meiri Anto, Martin Fleming (@Fleming_Martin), Neil Thompson (@ProfNeilT), as well as Substack collaborators Zachary Brown, Alexander Fogelson, Sebastian Sartor (@SartorSebastian), and Lucy Yan!
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Does automation look more like a crashing wave hitting some workers and not others, or a broadly rising tide? Our latest Substack post from @adamkuzee explains the concepts and data behind a recent MIT FutureTech paper on the shape of AI progress: mitfuturetech.substack.com/p… @MITSloan @MIT_CSAIL @ProfNeilT #AI #Automation #FutureOfAI #FutureOfWork #AIResearch #MITFutureTech
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@ylecun this should help - anyone can see for themselves how automation will effect occupations in our new tool: expertise.mit.edu. Based on expertise paper by @davidautor and @ProfNeilT tl;dr: in some jobs, automation eliminates expert tasks, reduces wages, and permits entry of less expert workers. In others, it eliminates inexpert tasks, boosts wages, and raises barriers to entry #AI #Automation #FutureOfWork #LaborEconomics
Dario is wrong. He knows absolutely nothing about the effects of technological revolutions on the labor market. Don't listen to him, Sam, Yoshua, Geoff, or me on this topic. Listen to economists who have spent their career studying this, like @Ph_Aghion , @erikbryn , @DAcemogluMIT , @amcafee , @davidautor
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@ProfNeilT kicks off the #google #MITFuturetech #AIfortheEconomyForum with our findings on AI automation from Thousands of Worker Evaluations of Labor Market Tasks. Read the full paper: arxiv.org/abs/2604.01363
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Can academic science keep up with the AI frontier? Our substack tracks the meteoric rise of AI foundation models in science and the constraints on future breakthroughs: mitfuturetech.substack.com/p… #AI #Science #AIResearch #FutureOfScience
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Can Academic Science Keep Up with the AI Frontier? Our newest substack tracks the meteoric rise of AI foundation models in science and the constraints on future breakthroughs. Read here: mitfuturetech.substack.com/p… #AIResearch #AIinScience #FoundationModels
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MIT FutureTech is hiring a Research Assistant to work with Dr. @DanialLashkari on projects at the intersection of technological progress, innovation, and AI Join us! futuretech.mit.edu/opportuni… #EconRA #AIEconomics #ResearchJobs #AIResearch
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That's a wrap on Automation in the Labor Market and Economy: AI Automation with Generative World Models! Thank you @du_yilun #GenerativeAI #AIResearch #MITFutureTech #AIConference
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Congratulations to @ProfDavidDeming on his new position: Danoff Dean of Harvard College @harvard! Fantastic presentation today at #MITFutureTech Conference "The Rapid Adoption of Generative AI", read it here: nber.org/papers/w32966
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Does change in expertise (caused by task automation) affect change in wages? @davidautor says YES! Read the full paper on expertise here: nber.org/papers/w33941 📷#TaskAutomation #EconomicsofAutomation #AIEconomics #LabourResearch
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#MITFutureTech Conference day 1 drew to a close with an inspirational discussion on Modern Challenges in Automating science led by @ta_broderick #AIResearch #AIAutomation #AutomationinScience
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#MITFutureTech Conference day 1 drew to a close with an inspirational discussion on Modern Challenges in Automating science led by @ta_broderick #AIResearch #AIAutomation #AutomationinScience
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Patrick Rich from @IBMResearch shares how foundation models accelerate scientific discovery: from experiments to algorithms. “We are at the dawn of a new algorithmic era powered by new representations of information” #foundationmodels #AIResearch #MITFutureTech
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AI Adoption in Biology is accelerating new approaches to Drug Discovery via methods such as Cell Painting, as discussed by @shantanuXsingh from The Broad Institute. Advances in technology don't necessarily result in decreased costs in drug discovery however, a phenenom dubbed "Eroom's Law" - the opposite of Moore's law.
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Excellent perspective from @KarianneBergen on educating the next generation of researchers in the context of #GenAI #AIConference #AIResearch #MITFutureTech
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@GaryMarcus delivers a bitter lesson on the bitter lesson - scaling works well only for some problems - mainly pattern recognition - but not others #AIExpert #Scaling #MITFutureTech #AIConference
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Why do consumers go with closed models when open options are often more powerful and less expensive? @frank_nagle points out people often think they can't use "open" models because the world would know their data - which is exactly backwards as open models can be run entirely privately #AIConference #AIExpert #MITFutureTech
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Can the entire scientific process be automated? Research Scientist Yutaro Yamada explores AI Scientists and Self Improving AI #AIScientist #AIResearch #MITFutureTech
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Are you a technology optimist or a technology pessimist? Speaker Kristina McElheran says Yes! Read her paper covering AI Adoption in America: nber.org/papers/w31788 #AIAdoption #AIResearch #AIConference #MITCSAIL
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Lab Director Dr. Neil Thompson kicks off the conference with key FutureTechs Research, get an overview on our new substack! substack.com/@mitfuturetech #AIResearch #AIEconomics
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