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Artwork for Building 32 from MIT CSAIL Alliances

Building 32 from MIT CSAIL Alliances

Building 32
Artificial Intelligence
Generative AI
MIT
Healthcare
Cybersecurity
Robotics
Large Language Models
Data Privacy
Employment
Data Security
Education
Automation
The New York Times
Job Market
Income Inequality
Self-Supervised Learning
Productivity
Systalyze
Biodiversity
CSAIL

Welcome to Building 32 from MIT CSAIL Alliances. Building 32 is the iconic Stata Center, home to the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) where hundreds of curious researchers are building the future of computing. On Building 32, we go behind the research to explore the ideas, breakthroughs, and people behind MIT's largest lab, from technologies already shaping our l... more

PublishesMonthlyEpisodes78Founded11 years ago
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Artwork for Building 32 from MIT CSAIL Alliances

Latest Episodes

When The Jetsons imagined life in 2062, Rosie the robot maid seemed like pure science fiction. Today, chatbots can answer questions, analyze data and even crack jokes. But they still can't load the dishwasher. In this episode of Building 32, MIT CSAI... more

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Long before smartphones, social media, or ChatGPT, researchers at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) helped lay the groundwork for the modern internet. In this episode of Building 32, MIT CSAIL senior research scienti... more

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MIT has a new podcast. Announcing Building 32, from MIT CSAIL Alliances. Behind every technological breakthrough is a story. From email to the fax machine to the Roomba and even OkCupid, innovations that shape our daily lives trace back to MIT's Comp... more

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Professor Armando Solar-Lezama, MIT CSAIL Associate Director, says there are currently three camps in AI discourse: the utopian thinkers, the alarmists, and the skeptics. And all of them are wrong. Plus, hear his thoughts on AI Agents, neurosymbolic ... more

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Recent Guests

Vincent Sitzmann
Associate Professor at MIT; leads the Scene Representation Group at CSAIL
Massachusetts Institute of Technology (CSAIL)
Episode: Why AI Still Can't Load the Dishwasher
David Clark
Senior Research Scientist at MIT CSAIL
MIT CSAIL
Episode: Internet Pioneer David Clark’s Lessons for the AI Age
Armando Solar-Lezama
Associate Director and COO of CSAIL; Distinguished Professor in the MIT Schwarzman College of Computing
MIT CSAIL
Episode: How Enterprises are Getting AI Wrong with MIT CSAIL Armando Solar-Lezama
Andrew Lo
MIT Financial Economist and Professor
Massachusetts Institute of Technology (MIT)
Episode: Chalk Radio: MIT Economist Andrew Lo on Finance, AI, and Human Behavior (Guest Episode)
David Autor
Professor of economics at MIT
MIT
Episode: AI and Our Time at Work: Featuring MIT Neil Thompson and David Autor
Neil Thompson
Director of the FutureTech Research Project at CSAIL and a principal research scientist at the MIT Initiative on the Digital Economy
MIT CSAIL
Episode: AI and Our Time at Work: Featuring MIT Neil Thompson and David Autor
Russ Tedrake
Professor of Electrical Engineering and Computer Science at MIT and Senior Vice President of Robotics Research at Toyota Research Institute
Toyota Research Institute
Episode: The Future of Robotics: Hype, Breakthroughs, and Challenges with Professor Russ Tedrake
Manya Ghobadi
Principal Investigator at CSAIL, Professor in MIT's Department of Electrical Engineering and Computer Science
MIT
Episode: Bridging the AI Gap: Inside MIT’s Systalyze Startup with Associate Professor Manya Ghobadi
Bilal Zuberi
Founder and managing partner of the venture capital firm Red Glass, with a PhD in Physical Chemistry from MIT and previously worked at Lux and General Catalyst.
Red Glass
Episode: Investing in the Age of AI: Deep Tech, Risk, and Reward with Bilal Zuberi

Host

Karen Given
Host of Building 32, MIT CSAIL Alliances podcast, focusing on people, ideas, and technologies emerging from MIT CSAIL.

Reviews

5.0 out of 5 stars from 27 ratings
  • Very Informative

    Excellent resource that is accessible to all audiences

    Apple Podcasts
    5
    Chee-cha-ROO
    United States2 years ago
  • Access to experts in a short, add-free podcast.

    Highly recommend.

    Apple Podcasts
    5
    cryptopuzzler55
    United States2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Highly recommend for listeners seeking deep, credible insights.
Concise episodes with high-quality guests.
Access to experts in a short, add-free podcast.
Very informative and accessible to all audiences.

Chart Rankings

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Apple Podcasts
#158
Philippines/Technology
Apple Podcasts
#232
Brazil/Technology

Talking Points

Recent interactions between the hosts and their guests.

Why AI Still Can't Load the Dishwasher
Q: What are you most excited about in this field and what problems remain open, especially for robotics?
Excitement centers on open questions like continual learning and exploration, with robots that can adapt online to new environments; the conversation highlights the challenge of translating high-level descriptions into low-level motor actions and the potential unification of modalities under a single, interactive framework.
Why AI Still Can't Load the Dishwasher
Q: Well, it's exactly that change I sort of want to dig into with you and talk about when you first started studying computer vision, how did computers see the world back then?
The discussion covers the early view of computer vision as solving discrete, predefined tasks with input-output mappings, then shifting toward a more unified perspective where 3D understanding and perception are integrated, moving away from a bag-of-tricks approach to a broader, model-based framework.
Internet Pioneer David Clark’s Lessons for the AI Age
Q: You mentioned in a talk that you reject certain norms in voting and governance; can you explain what that meant in the context of rough consensus and decision-making for the Internet's standards?
The idea of rough consensus means you don't vote until everyone agrees; you build the code, debate, and reach a functional agreement through shared critique rather than formal majority voting, which was essential for moving complex standards forward amid diverse stakeholders.
Internet Pioneer David Clark’s Lessons for the AI Age
Q: So let's start with the bake-offs. Describe what happened at these events and what that process tells us about how the Internet was first developed.
The bake-offs were collaborative tests where multiple implementations of TCP/IP were interworked and refined against a common, evolving specification; the core lesson is that real interoperability comes from coordinating diverse implementations, not just writing a perfect spec on paper.
Chalk Radio: MIT Economist Andrew Lo on Finance, AI, and Human Behavior (Guest Episode)
Q: What is the Adaptive Markets Hypothesis and how does it differ from the Efficient Markets Hypothesis?
The Adaptive Markets Hypothesis suggests markets are generally efficient but can deviate when human behavior dominates, requiring an integration of behavioral insights with financial theory; it's not always true, but it explains why adaptation occurs in markets.

Audience Metrics

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Frequently Asked Questions About Building 32 from MIT CSAIL Alliances

What is Building 32 from MIT CSAIL Alliances about and what kind of topics does it cover?

Building 32 from MIT CSAIL Alliances covers the people, ideas, and technologies shaping AI, robotics, and the future of computing. Episodes frequently feature MIT CSAIL researchers and industry experts discussing real-world deployment, practical challenges, and the intersection of academia with startups, finance, and policy. Listeners can expect thoughtful conversations about how perception translates to action in robots, the evolving roles of AI tools in enterprises, and the social implications of digital technology. A notable strength is the blend of deep technical insight with accessible storytelling and concrete demonstrations, making it useful for researchers, engineers, operators, investors, and tech-forward executives evaluating AI a... more

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Building 32 from MIT CSAIL Alliances launched 11 years ago and published 78 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Building 32 from MIT CSAIL Alliances?

Recent guests on Building 32 from MIT CSAIL Alliances include:

1. Vincent Sitzmann
2. David Clark
3. Armando Solar-Lezama
4. Andrew Lo
5. David Autor
6. Neil Thompson
7. Russ Tedrake
8. Manya Ghobadi

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