
Sign up to save your podcasts
Or


Send us Fan Mail
Professor Paul Bailes, a professor of computer science, discusses how coding is deeply philosophical, like Aristotle framing reality. During our chat we explore logic’s limits through Gödel’s theorems and classic paradoxes, then turn to AI’s rise—automating coding, exams, and desk jobs while sparing touch-based roles like dentistry.
If machines handle most “useful” work, what defines human worth?
Professor Bailes critiques pure utility, notes original sin’s everyday selfishness, and warns elites might see people as obsolete. He draws parallels to the secret Manhattan Project and hidden modern tech like drones and gait recognition.
Expect to Learn:
- Why programming is a form of metaphysics, not just technical work
- How Gödel’s incompleteness theorems and paradoxes reveal the limits of logic
- Why AI is automating intellectual jobs—and which ones might survive
- The case against judging people only by how “useful” they are
- How original sin explains persistent human flaws
- Historical secrets (Manhattan Project, early world war shots in Australia) and modern hidden tech parallels
- Why virtue and kindness matter most in a machine-dominated future
By Joe MasseySend us Fan Mail
Professor Paul Bailes, a professor of computer science, discusses how coding is deeply philosophical, like Aristotle framing reality. During our chat we explore logic’s limits through Gödel’s theorems and classic paradoxes, then turn to AI’s rise—automating coding, exams, and desk jobs while sparing touch-based roles like dentistry.
If machines handle most “useful” work, what defines human worth?
Professor Bailes critiques pure utility, notes original sin’s everyday selfishness, and warns elites might see people as obsolete. He draws parallels to the secret Manhattan Project and hidden modern tech like drones and gait recognition.
Expect to Learn:
- Why programming is a form of metaphysics, not just technical work
- How Gödel’s incompleteness theorems and paradoxes reveal the limits of logic
- Why AI is automating intellectual jobs—and which ones might survive
- The case against judging people only by how “useful” they are
- How original sin explains persistent human flaws
- Historical secrets (Manhattan Project, early world war shots in Australia) and modern hidden tech parallels
- Why virtue and kindness matter most in a machine-dominated future