Episode notes

"AI is like the guy that showed up and started pissing in everyone's beer at the party."

Mike categorizes various groups resisting or critically engaging with generative AI, from total abstainers to 'scopers' who seek responsible use cases.

Global harms: While AI has become a hot button issue in the US, frustration in the states is a small part of a bigger movement.
Diverse coalitions: Like the buckets of AI overlords from episode three, the resistance consists of many desperate groups banding together.
Scoping AI: Mike briefly speaks to use cases that are narrow in scope and lower in their externalities to users and the public.

Deeper learning

The AI Resist List: airesistlist.org

Mike's thread on GenAI harms: bsky.app/profile/misaligned.markets/post/3migfnyvuak26

Ghost in the Machine Documentary: notaidoc.com

Ethical European model Apertus: infoworld.com/article/4051779/swiss-launch-open-source-ai-model-as-ethical-alternative-to-big-us-llms.html

EVO RNA GPT: hazyresearch.stanford.edu/blog/2024-03-14-evo

Inside Memphis’ fight against xAI: selc.org/news/inside-memphis-fight-against-xai/

Data centers in drought-region: newsweek.com/map-data-centers-built-drought-hit-areas-11997520

Jeff Geering AI and open source: jeffgeerling.com/blog/2026/ai-is-destroying-open-source

XKCD infrastructure meme: explainxkcd.com/wiki/index.php/2347:_Dependency

Distributed AI Research Institute: dair-institute.org

Dr. Fatima how to (Anti) AI better: youtube.com/watch?v=y85nqc2zm7M