Podcast Atlas
entity Updated 2026-08-12 Topics: Economics

MIT

用 AI 让我们变笨了吗？｜S10E25 adds MIT through an MIT Media Lab writing experiment described by the source as arXiv-stage and not yet formally published. The episode uses the study to discuss lower neural coupling, weaker essay recall, and reduced authorship feeling among LLM-assisted writers, while keeping the small-sample and publication-status caveat attached to the claim.

The skyscrapers that NIMBYs and zoning couldn’t stop adds MIT through a working paper, cited with Princeton University, on Los Angeles permitting delays. The Planet Money episode uses that research to make Permitting Delay Cost part of Housing Affordability Supply Mechanics.

Chef vs. Robot adds MIT through Daron Acemoglu’s labor-economics explanation of automation. The Planet Money episode uses his distinction between Automation Displacement Effect and Automation Reinstatement Effect to connect a restaurant robot case to broader employment and wage effects.

MIT appears in Founder Mode: Sajith Wickramasekara, Founder & CEO, Benchling as the university context where Sajith Wickramasekara studied computer science and worked in biology labs before starting Benchling. In this source, MIT matters less as a credential than as a collision point between software-collaboration habits and scientific lab workflows.

Spenser Skates, Founder & CEO, Amplitude adds MIT as the formation context for Spenser Skates and Curtis Liu. The episode emphasizes dorm friendships, Battlecode, and exposure to founders such as Drew Houston and Arash Ferdowsi, making MIT a startup-network and fast-iteration environment before the Sonalight and Amplitude story begins.

The Benchling case makes MIT part of the wiki’s Vertical SaaS Domain Expertise branch: founder exposure to a specific research workflow revealed a software opportunity that outside investors initially underestimated. The source also connects MIT to Life Sciences Workflow Software because the gap Sajith saw was not a general productivity problem but a lab-specific need to design experiments, record data, analyze work, and collaborate.

Why the U.S. Has No Guaranteed Paid Vacation adds MIT through Tom Cohen, who explains the U.S. vacation gap as a labor-policy architecture problem. In that episode, MIT is the expert-institution context for the claim that vacation, pensions, and health insurance were left to Employer-Bargained Benefits rather than treated as universal rights.

Why economists got free trade with China so wrong adds MIT through David Autor’s labor-economics work on the China Shock. The episode uses Autor’s research with David Dorn and Gordon Hanson to connect regional labor-market data, import competition, and the policy debate over Trade Adjustment Assistance, Blanket Tariff Limit, and Strategic Industrial Policy.

149. 亲历中美 New Labs 资本狂潮，和清华刘子鸣聊：AI for AI、机制可解释性和 Max Tegmark adds MIT as Liu Ziming’s doctoral context under Max Tegmark. The episode uses MIT to connect AI for Physics, Mechanistic Interpretability, KAN, and Liu’s later Physics Of AI route.

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