Topic: Artificial Intelligence

5 chapters across the catalog

93: Higher Infinite Power
• 1:18:07 - 1:20:14

93: Higher Infinite Power

AI Music and the New Machine Battle

Mo Facts draws a parallel between John Henry's battle with the steam drill and the modern struggle against AI in music. He predicts a future where users can generate songs by typing prompts for artists like Drake. Adam Curry expresses skepticism, arguing that AI-generated content is merely a "regurgitation" and lacks the soul of true art.

92: White Lies
• 44:13 - 49:14

92: White Lies

AI Labor Replacement and the Normalization of Transgenderism

A tangent explores the idea that AI is being used as a "new country" for cheap labor, making large portions of the human population obsolete. Mo Facts discusses the normalization of transgenderism within the Black community, citing figures like Beyonce, Britney Griner, and Dwyane Wade's son. He argues that these cultural shifts were "beta-tested" in Black communities years before becoming mainstream political issues.

89: Mass Confusion
• 48:19 - 53:25

89: Mass Confusion

NOTAM System Failure and AI Violence

The FAA's NOTAM system recently experienced a rare outage, and the hosts notice the acronym has been changed from "Notice to Airmen" to "Notice to Air Missions." They use an AI chatbot to investigate whether "undue alteration" of text constitutes violence. The hosts conclude that AI and Wikipedia are tools of "linguistic violence" used to rewrite history and obscure human accountability.

67: Q-Hopium
• 23:35 - 24:57

67: Q-Hopium

Binary Programming and the Human-Machine Merge

The discussion shifts to a philosophical critique of how society is being programmed into binary "ones and zeros" thinking to facilitate a future merge with machines. The hosts argue that human nuance and "fuzzy logic" are being suppressed because they are difficult for AI to replicate. By reducing human thought to simple pro- or anti- positions, the population becomes easier to manage and eventually replace with automated systems.

59: Restoring Justice
• 19:10 - 23:25

59: Restoring Justice

Algorithmic Bias in Technology and Facial Recognition

The concept of algorithmic bias is explored through examples of technology failing to serve non-white users, such as Nikon cameras misidentifying Asian eyes as blinking and Google Photos mislabeling Black people. The discussion posits that while mathematics itself is neutral, the humans who program and feed data into AI systems introduce their own biases. These technological failures are contrasted with the companies' public support for social justice causes.