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        "event_title":"LSA@Play: Makers Series - Knotted Blankets",
        "occurrence_title":"",
        "combined_title":"LSA@Play: Makers Series - Knotted Blankets: College of LSA Student Event",
        "event_subtitle":"College of LSA Student Event",
        "event_type":"Social \/ Informal Gathering",
        "event_type_id":"19",
        "description":"Stop by this Makers Series event to create your own cozy knotted blanket and enjoy a free mac and cheese bar! Take a break, get creative, and treat yourself to a comforting meal.\n__________\nFor LSA undergrads only. Join us for LSA@Play, a series of events designed to bring students together, build community, and make time for fun, new experiences, and well-being. From creative activities and social events to opportunities to recharge and try something new, LSA@Play offers plenty of ways to get involved. And yes, there\u2019s free food and LSA swag, too!\n\nVisit the LSA@Play webpage: lsa.umich.edu\/play for more details, subscribe to receive text\/email updates, and check for additional events being added soon! Events are first-come, first-served, while supplies last. One swag item per student. You must be present with an MCard to receive swag.\n\nAccessibility: LSA values inclusion and access for all. Reasonable accommodations are available. Please email lsaatplay@umich.edu with accommodation requests or questions. Advance notice is appreciated to allow time to arrange accommodations.",
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        "tags":["Crafting","Free Food","Undergraduate Students","Well-being"],
        "website":"https:\/\/lsa.umich.edu\/lsa\/news-events\/events\/lsa-play",
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        "datetime_modified":"20261104T081003",
        "datetime_start":"20261110T113000",
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        "event_title":"The Race between AI Costs and Capabilities: Task-Based Automation When Machines Improve",
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        "combined_title":"The Race between AI Costs and Capabilities: Task-Based Automation When Machines Improve: Danial Lashkari, London School of Economics and Political Science",
        "event_subtitle":"Danial Lashkari, London School of Economics and Political Science",
        "event_type":"Workshop \/ Seminar",
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        "description":"What drives the patterns of AI automation: expanding capabilities or falling computing costs? We develop a quantitative task-based theory of production in which firms choose among various vintages of an automation technology (in this case, AI models) for each task, subject to adoption frictions. Larger models are more capable but require more computing, so automation of some tasks relies on models smaller than the frontier. An expanding frontier lowers costs only in tasks that may rely on new models, while cheaper computing lowers automation costs for all tasks that AI can perform. We measure the capabilities and costs of AI models across different tasks using a new survey: workers grade the output of 41 language models on samples of 7,400 production tasks in over 800 occupations. The token costs for producing each task\/model combination offer measures of the corresponding computing costs. Using this data, along with additional moments of AI spending and occupational adoption, we quantify our model and use it to project the future path of AI automation given trends in capabilities and computing costs. The model predicts that by 2050 AI will perform 54 percent of all work in the US economy. Halving the rate at which computing prices fall lowers this share to 39 percent, while halving the growth rate of frontier models leaves it almost unchanged.",
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        "tags":["Economics","Macroeconomics","seminar"],
        "website":"http:\/\/www.lsa.umich.edu\/econ",
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                "website":"http:\/\/www.lsa.umich.edu\/econ"                },             {
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