Episode 2531: Emily Bender and Alex Hanna on the AI Con

Is AI a big scam? In their co-authored new book, The AI Con, Emily Bender and Alex Hanna take aim at what they call big tech “hype”. They argue that large language models from OpenAI or Anthropic are merely what Bender dubs "stochastic parrots" that produce text without the human understanding nor the revolutionary technology that these companies claim. Both Bender, a professor of linguistics, and Hanna, a former AI researcher at Google, challenge the notion that AI will replace human workers, suggesting instead that these algorithms produce "mid" or "janky" content lacking human insight. They accuse tech companies of hyping fear of missing out (FOMO) to drive adoption. Instead of centralized AI controlled by corporations, they advocate for community-controlled technology that empowers users rather than exploiting them.

Five Takeaways (with a little help from Claude)

* Large language models are "stochastic parrots" that produce text based on probability distributions from training data without actual understanding or communicative intent.

* The AI "revolution" is primarily driven by marketing and hype rather than groundbreaking technological innovations, creating fear of missing out (FOMO) to drive adoption.

* AI companies are positioning their products as "general purpose technologies" like electricity, but LLMs lack the reliability and functionality to justify this comparison.

* Corporate AI is designed to replace human labor and centralize power, which the authors see as an inherently political project with concerning implications.

* Bender and Hanna advocate for community-controlled technology development where people have agency over the tools they use, citing examples like Teheku Media's language technology for Maori communities.

Dr. Emily M. Bender is a Professor of Linguistics at the University of Washington where she is also the Faculty Director of the Computational Linguistics Master of Science program and affiliate faculty in the School of Computer Science and Engineering and the Information School. In 2023, she was included in the inaugural Time 100 list of the most influential people in AI. She is frequently consulted by policymakers, from municipal officials to the federal government to the United Nations, for insight into into how to understand so-called AI technologies.

Dr. Alex Hanna is Director of Research at the Distributed AI Research Institute (DAIR). A sociologist by training, her work centers on the data used in new computational technologies, and the ways in which these data exacerbate racial, gender, and class inequality. She also works in the area of social movements, focusing on the dynamics of anti-racist campus protest in the US and Canada. She holds a BS in Computer Science and Mathematics and a BA in Sociology from Purdue University, and an MS and a PhD in Sociology from the University of Wisconsin-Madison. Dr. Hanna is the co-author of The AI Con (Harper, 2025), a book about AI and the hype around it. With Emily M. Bender, she also runs the Mystery AI Hype Theater 3000 series, playfully and wickedly tearing apart AI hype for a live audience online on Twitch and her podcast. She has published widely in top-tier venues across the social sciences, including the journals Mobilization, American Behavior