Brian Chau is a mathematician by training and is tied for the youngest Canadian to win a gold medal at the International Olympiad in Informatics. He writes software for a living while posting on his spare time. He writes independently on American bureaucracy and political theory and has contributed to Tablet Magazine. His political philosophy can be summed up as “see the world as it is, not as you wish it to be.” Everything else is application.
Jim talks with Brian Chau about recent advancements in AI and viewing AI’s relationship to society and politics through a pluralistic lens. They discuss fixed frames on AI, the horseless carriage fallacy, AI as a million dumb people, how LLMs invert the film archetype, Jim’s ScriptHelper project, intuitive recombination, creating a fake political party, why AI threatens the legacy press, the significance of house style, incentivizing pluralism, why AI could power the periphery, the information agent concept, billboard measures in music, AI voice covers, the stultification of consensus, liquid democracy, applying statistical ML to prompt engineering, the need for on-the-ground testing of LLM applications, the problem of nanny rails, corrections in AI regulation, and much more.