Imagine a world where there are many powerful AI systems, working at cross purposes. You could suppose that different governments use AIs to manage their militaries, or simply that many powerful AIs have their own wills. At any rate, it seems valuable for them to be able to cooperatively work together and minimize pointless conflict. How do we ensure that AIs behave this way - and what do we need to learn about how rational agents interact to make that more clear? In this episode, I'll be speaking with Caspar Oesterheld about some of his research on this very topic.

Patreon: patreon.com/axrpodcast

Ko-fi: ko-fi.com/axrpodcast

Episode art by Hamish Doodles: hamishdoodles.com

Topics we discuss, and timestamps:

- 0:00:34 - Cooperative AI

- 0:06:21 - Cooperative AI vs standard game theory

- 0:19:45 - Do we need cooperative AI if we get alignment?

- 0:29:29 - Cooperative AI and agent foundations

- 0:34:59 - A Theory of Bounded Inductive Rationality

- 0:50:05 - Why it matters

- 0:53:55 - How the theory works

- 1:01:38 - Relationship to logical inductors

25 - Cooperative AI with Caspar Oesterheld

AXRP - the AI X-risk Research Podcast

25 - Cooperative AI with Caspar Oesterheld