Mystery AI Hype Theater 3000

Dr. Adam Becker, astrophysicist, journalist, and author of More Everything Forever, critiques proposals for space-based data centers. He dismantles cooling and heat-rejection claims. He explains maintenance, orbital debris, radiation, and launch realism problems. He debunks techno-utopian energy fantasies and exposes cost and engineering errors in StarCloud-style plans.

Naomi Klein, award-winning journalist and author focused on media and climate justice. She discusses the Pentagon’s GenAI.mil tie-ups with Big Tech. Conversations cover nuclear risk from military AI, frontier rhetoric that normalizes violence, and how autonomous weapons turn civilians into test subjects.

They dismantle flashy AI health marketing and the idea that chatbots can replace clinical judgment. They call out risky claims like AI scribes, diagnostic crutches, and opaque physician-in-the-loop workflows. They flag privacy, surveillance, model drift, and how AI hype sidelines structural fixes to healthcare.

A surreal supercut of improvised skits and songs that lampoon AI hype rituals, corporate PR and the labor behind large models. Characters include protesting demons, satirical news anchors, broken chatbots and musical numbers about mining content and commodifying suffering. The show stitches together absurdist scenes—from robotic pets to librarian blues—into a chaotic lore of AI Hell.

Emily and Alex tackle the controversial choice of AI architects as TIME's Person of the Year, exploring the hype surrounding artificial intelligence. They dissect inflated claims about AI’s economic impact, critique misleading narratives about neural networks, and highlight alarming incidents, like Adobe’s outputs for school assignments. The duo also reviews the disheartening decline in AI adoption in workplaces, and laugh at the absurdity of hologram lecturers. Expect thought-provoking commentary on the realities and fallacies of AI in today's society!

A new definition of artificial general intelligence is under fire for its flawed assumptions and weak scientific backing. The hosts deconstruct its ties to eugenics while mocking dubious cognitive assessments and biased test choices. They also celebrate a union win for journalists protecting against unconsulted AI uses. Intriguing critiques of flashy AI promotions and shocking revelations about companies cheating on evaluations add flavor. Plus, don't miss their hilarious takes on AI-related absurdities like intrusive pop-up alerts!

Explore the intriguing intersection of AI and democracy as the hosts dissect tech leaders' claims about algorithmic governance. They challenge the myth of unbiased algorithms and illustrate why democratic judgment cannot be replaced by automation. Analyzing global examples, they critique the opaque nature of AI decision-making and its effects on accountability. Delight in bizarre products like AI translation tools and odd dating cafes, while pondering the real solutions for democratic deficits.

Last month, Senate Democrats warned that "Automation Could Destroy Nearly 100 Million U.S Jobs in a Decade." Ironically, they used ChatGPT to come to that conclusion. DAIR Research Associate Sophie Song joins us to unpack the issues when self-professed worker advocates use chatbots for "research."Sophie Song is a researcher, organizer, and advocate working at the intersection of tech and social justice. They’re a research associate at DAIR, where they're working with Alex on building the Luddite Lab Resource Hub.References:Senate report: AI and Automation Could Destroy Nearly 100 Million U.S Jobs in a DecadeSenator Sanders' AI Report Ignores the Data on AI and InequalityAlso referenced:MAIHT3k Episode 25: An LLM Says LLMs Can Do Your JobHumlum paper: Large Language Models, Small Labor Market EffectsEmily's blog post: Scholarship should be open, inclusive and slowFresh AI Hell:Tech companies compelling vibe codingarXiv is overwhelmed by LLM slop'Godfather of AI' says tech giants can't profit from their astronomical investments unless human labor is replacedIf you want to satiate AI’s hunger for power, Google suggests going to spaceAI pioneers claim human-level general intelligence is already hereGen AI campaign against ranked choice votingChaser: Workplace AI Implementation BingoCheck out future streams on Twitch. Meanwhile, send us any AI Hell you see. Our merch store is now live on the DAIR website! Find our book, The AI Con, here. Subscribe to our newsletter via Buttondown. Follow us! Emily Bluesky: emilymbender.bsky.social Mastodon: dair-community.social/@EmilyMBender Alex Bluesky: alexhanna.bsky.social Mastodon: dair-community.social/@alex Twitter: @alexhanna Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Ozzy Llinas Goodman.

In a chilling Halloween special, the hosts dive into the dark side of AI, discussing its terrifying applications in education and politics. The AI market may be in a bubble larger than the dot-com crash, and ChatGPT faces profitability challenges amid heavy losses. They also explore environmental concerns of AI data centers and bizarre uses of AI in classrooms. Plus, a look at the murky ethics behind AI-generated reports and the alarming biases in medical AI tools. Is AI entering a new eugenics phase? Tune in for insights and laughs!

Decca Muldowney, a journalist and web editor at the Distributed AI Research Institute, explores the critical intersection of AI and data journalism. She highlights the urgent need for journalists to differentiate between AI hype and credible research methods. The discussion touches on the implications of 'vibe coding' for reporting practices, the reliability of LLMs in journalistic tasks, and the dangers of using AI tools without rigorous method verification. Decca warns against devaluing journalistic skills while emphasizing the importance of method transparency.