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Artwork for Mystery AI Hype Theater 3000

Mystery AI Hype Theater 3000

Emily M. Bender and Alex Hanna
Artificial Intelligence
Chatgpt
Large Language Models
AI Ethics
Openai
AI Technology
Healthcare
Machine Learning
Education
Democracy
Labor Rights
AI Hype
Nursing
Open-Source AI
Meta
Data Privacy
Climate Change
UK Government AI Initiative
AI and Automation
Journalism

Artificial Intelligence has too much hype. In this podcast, linguist Emily M. Bender and sociologist Alex Hanna break down the AI hype, separate fact from fiction, and science from bloviation. They're joined by special guests and talk about everything, from machine consciousness to science fiction, to political economy to art made by machines.

PublishesTwice monthlyEpisodes87Founded3 years ago
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TechnologyNewsTech News

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Artwork for Mystery AI Hype Theater 3000

Latest Episodes

In the past year, tech companies have laid off thousands of employees. But when CEOs blame "AI innovation," they're redirecting attention from something much more predictable: job discrimination and gig-ification. Emily and Alex examine some narrativ... more

In the wake of OpenAI's announcement that its products caused a "cyber incident," Sam Altman is now claiming that we're already in the Singularity. And some media outlets are only too happy to help him advance that narrative! Alex and Emily tear up t... more

Lately, a new framework has been creeping into AI boosterism: "harm reduction," or "responsible use." Education technology scholar dr. sava saheli singh joins Alex and Emily to unpack narratives around automation inevitability in the classroom. Spoil... more

AI boosters want to hand off emergency services to the bullshit generators. And horrifyingly, some medical professionals want to help them! Join Emily and Alex for a deep dive on the latest automated horrors threatening our collective health and safe... more

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Recent Guests

Nathalie Maréchal
writer, researcher, and advocate fighting for democracy and human rights in the age of techno-fascism
Northeastern University's Institute for Information, the Internet, and Democracy
Episode: Bernie Goes Down the X-Risk Rabbithole (with Dr. Nathalie Maréchal), 2026.05.04
Carmen Maria Machado
Author of In the Dream House and Her Body and Other Parties
Author
Episode: There's No Ghost in the Machine (with Carmen Maria Machado), 2026.04.13
Niamh McIntyre
Senior reporter at the Bureau of Investigative Journalism in London, covering AI, labor and surveillance tech
Bureau of Investigative Journalism
Episode: Uber for Military Surveillance (with Niamh McIntyre), 2026.03.30
Maia Woluchem
Director of Data & Society's Trustworthy Infrastructures Program, urban planner and technologist
Data & Society
Episode: Data Centers Go Nuclear (with Maia Woluchem and Dr. Livia Garofalo), 2026.03.09
Livia Garofalo
Cultural and medical anthropologist, researcher with Data & Society
Data & Society
Episode: Data Centers Go Nuclear (with Maia Woluchem and Dr. Livia Garofalo), 2026.03.09
Adam Becker
Astr astrophysicist, journalist, author
author of More Everything Forever; launching Dreaming Against the Machine podcast
Episode: Data Centers in Space!? (with Dr. Adam Becker), 2026.03.02
Naomi Klein
Award-winning journalist and international best-selling author of nine books
The Guardian
Episode: How the War Department Learned to Stop Worrying and Love AI (with Naomi Klein), 2026.02.09
Sophie Song
Researcher, organizer, and advocate working at the intersection of Tech and Social Justice
Distributed AI Research Institute
Episode: You Talked to Workers for This Labor Research... Right? (with Sophie Song), 2025.11.17
Decca Muldowney
Journalist and writer in residence at DAIR
Distributed AI Research Institute
Episode: Crunching the Numbers (with Decca Muldowney), 2025.10.20

Hosts

Emily M. Bender
Host of the program; Professor of Linguistics
Alex Hanna
Host; Director of Research

Reviews

4.6 out of 5 stars from 229 ratings
  • Interesting points, abysmal delivery

    I was genuinely interested in an AI skeptic podcast in today’s naive AI optimist world. There were some genuinely interesting points brought up, but the hosts repeatedly defaulted to dumb slurwords and an unsufferable cynicism, basically reducing nuance of the topics to zero, echoing social media armchair arguments: “AI = BAD!1!1!1!” I was expecting a lot more nuance and critical thinking from academics. Unlistenable.

    If you want to be taken seriously, take the topic seriously and skip the cheap... more

    Apple Podcasts
    1
    Szaby1
    United Statesa month ago
  • ABSOLUTELY ABSOLUTIONIST!!

    If you don’t get it- you might just be an AI 😵‍💫

    Apple Podcasts
    3
    Eclectic Nightmare
    United States6 months ago
  • Too snarky, absent evidence

    Came here because of the Nonzero interview, which I enjoyed. Robert Wright pushed the cohosts for specific information and they did well. Left to their own devices, they fill their hour with snark and little else. Present information please! I’d love to know more about why AI is less impressive than it seems but what I’m getting from this is reading a Time article and a snarky response of “doubtful.”

    Apple Podcasts
    2
    Deejnarow
    United States7 months ago
  • We want our morphemes back

    Finally, a corner of the Internet where I don't have to pretend that a data center can spontaneously attain consciousness by feeding Unicode through a linear algebra function. Thank you, Alex and Emily!

    Apple Podcasts
    5
    GJ-1245
    United States9 months ago
  • Major WOOF

    Never made it through a full episode. Last episode was a major miss — you should probably have actual coders criticize vibe coding.

    Apple Podcasts
    1
    BrandongAwesome
    United Statesa year ago

Listeners Say

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

Some find delivery snarky but points land on substance.
Appreciate rigor and careful critique of narratives.
Helpful for understanding labor and policy angles.
Balanced perspectives from academics.
Insightful, skeptical take on AI hype and governance.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#154
United States/Technology
Apple Podcasts
#85
United Kingdom/Technology
Apple Podcasts
#223
Canada/Technology
Apple Podcasts
#78
Australia/Technology
Apple Podcasts
#193
Germany/Technology
Apple Podcasts
#204
France/Technology

Talking Points

Recent interactions between the hosts and their guests.

Uber for Military Surveillance (with Niamh McIntyre), 2026.03.30
Q: What is the core concern with the way these data labeling firms frame their work for AI?”,
The hosts push back on the marketing language like AI for Good and responsible AI, arguing that the actual end-use—often military or surveillance—undermines the ethical claims and disguises labor exploitation.
Data Centers Go Nuclear (with Maia Woluchem and Dr. Livia Garofalo), 2026.03.09
Q: What is the central economic argument used to push data center development in Pennsylvania?
Proponents frame data centers as a driver of job creation, tax revenue, and energy demand that will revitalize local economies, often pointing to large-scale investments and long-term contracts with tech giants as proof of sustained growth.
Data Centers in Space!? (with Dr. Adam Becker), 2026.03.02
Q: What does the Kardashev scale mean in this context, and is it a useful framework for assessing AI compute goals?
Becker explains the Kardashev scale as a speculative framework for energy usage across civilizations, notes that claiming space-based data centers would reach planetary to universal energy control is a misapplication, and argues the framework is not practically useful for evaluating current AI compute strategies.
Data Centers in Space!? (with Dr. Adam Becker), 2026.03.02
Q: What is a sentient sun, and why is this language used in the discussion of space-based AI?
Becker analyzes the sensational language around 'a sentient sun' and 'extension of the light of consciousness,' explaining these as metaphorical, hype-driven rhetoric rather than technical goals, and he contextualizes it within Musk's broader technoutopian messaging.
Data Centers in Space!? (with Dr. Adam Becker), 2026.03.02
Q: Adam, is there anything you've been burning to say already about space-based AI data centers?
Becker argues forcefully that the idea of moving data centers to space is fundamentally flawed due to physics, heat dissipation limits, radiation, and astronomical costs, and that the timelines proposed by tech leaders are irresponsible and not grounded in engineering reality.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Mystery AI Hype Theater 3000

What is Mystery AI Hype Theater 3000 about and what kind of topics does it cover?

The show routinely critiques AI hype through a critical, research-informed lens, pairing linguistics and social science perspectives with expert guests. Episodes dissect productivity claims, governance, labor, data labor, ethics, and the political economy of AI, often challenging corporate narratives and media framing. Notable strengths include rigorous analysis of real-world implications—from data-center infrastructure to education and publishing—and a sharp, often humorous critique that aims to separate marketing from measurable impact. A potential listener will find a thoughtful, evidence-driven stance that appeals to skeptics and policy-forward audiences, and may appreciate guests who bring empirical or ethnographic insight to AI govern... more

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Which podcasts are similar to Mystery AI Hype Theater 3000?

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1. Tech Won't Save Us
2. The 404 Media Podcast
3. This Machine Kills
4. Better Offline
5. Blood in the Machine

How many episodes of Mystery AI Hype Theater 3000 are there?

Mystery AI Hype Theater 3000 launched 3 years ago and published 87 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 Mystery AI Hype Theater 3000?

Recent guests on Mystery AI Hype Theater 3000 include:

1. Nathalie Maréchal
2. Carmen Maria Machado
3. Niamh McIntyre
4. Maia Woluchem
5. Livia Garofalo
6. Adam Becker
7. Naomi Klein
8. Sophie Song

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