Episode 1 · · 49m
Artificial General Intelligence? Wanna Bet?
Play Episode 1 on YouTube
Welcome to the very first episode of Philosophy, Programs and Prompts!
In this inaugural episode, hosts Casey Hart (a PhD ontologist building graph data models from @OntologyExplained ) and Carl Brown (a veteran software engineer from @InternetOfBugs ) team up to cut through the massive corporate hype and apocalyptic doom surrounding Artificial General Intelligence (AGI).
As two real humans with deep industry expertise, they place their bets on an AGI gambling line—explaining why we shouldn't expect human-level machine intelligence until at least 2075. They dive into the mechanics of how Large Language Models (LLMs) use multi-dimensional vector spaces, debate whether "usage" equals true "understanding," and look back at history to see how AI fits into the long legacy of human automation.
Chapters
- 0:00Prelude: When Will We Have AGI?
- 0:18Welcome to Philosophy, Programs, and Prompts
- 1:09How Casey and Carl Met (The YouTube Algorithm)
- 2:06Host Bios: Ontological Graphs vs. Software Rescue
- 6:50Full Disclosure: Financial Stakes in the AI Boom
- 10:14Defining AI and Navigating Changing Definitions
- 13:42What is AGI? (Narrow AI vs. General Intelligence)
- 18:00The Over/Under: Placing Bets on 2070–2075
- 22:46Why LLMs Don’t "Learn" Like Humans Do
- 24:50The Turing Test & Vector Spaces: Usage vs. Meaning
- 32:56History Repeats Itself: AI as an Automation Tool
- 36:49How the Internet Changed Programming Jobs
- 41:15OpenAI, Scaling Walls, and Moving Past "Attention"
- 44:00Lessons from Telephone Operators: Easing Social Transitions
- 47:43Wrap Up: Send Us Your Comments and Questions!