The speaker also discusses the implications of computation for AI, suggesting that while AIs can explore the ruliad, they will mostly do things humans don't connect with or care about unless guided. He argues that the key to defining what we want from AI is computational language, which allows us to conceptualize and define our goals. The speaker concludes by emphasizing the human-centeredness of this approach, as the way we humans sample the ruliad determines everything, even our physics.
Key takeaways:
- The speaker discusses the concept of the ruliad, the deeply abstract but unique object that is the entangled limit of all possible computational processes, and how it can be explored using computational language.
- Computational language, like the Wolfram Language, allows us to formalize our knowledge about the world in computational terms, enabling us to create truly new things and explore the ruliad.
- Artificial Intelligence (AI) can also use computational language as a tool to compute new facts, and the integration of this technology into AI systems is a powerful emerging workflow.
- The speaker emphasizes the human-centeredness of this exploration, as the particulars of human minds and their computational boundaries shape the laws of physics we perceive and the paths we chart in the ruliad.