Nathan explores the Guaranteed Safe AI Framework with co-authors Ben Goldhaber and Nora Ammann. In this episode of The Cognitive Revolution, we discuss their groundbreaking position paper on ensuring robust and reliable AI systems. Join us for an in-depth conversation about the three-part system governing AI behavior and its potential impact on the future of AI safety.
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CHAPTERS:
(00:00:00) About the Show
(00:04:39) Introduction
(00:07:58) Convergence
(00:10:32) Safety guarantees
(00:14:35) World model (Part 1)
(00:22:22) Sponsors: Oracle | Brave
(00:24:31) World model (Part 2)
(00:26:55) AI boxing
(00:30:28) Verifier
(00:33:33) Sponsors: Omneky | Squad
(00:35:20) Example: Self-Driving Cars
(00:38:08) Moral Desiderata
(00:41:09) Trolley Problems
(00:47:24) How to approach the world model
(00:50:50) Deriving the world model
(00:55:13) How far should the world model extend?
(01:00:55) Safety through narrowness
(01:02:38) Safety specs
(01:08:26) Experiments
(01:11:25) How GSAI can help in the short term
(01:27:40) What would be the basis for the world model?
(01:31:23) Interpretability
(01:34:24) Competitive dynamics
(01:37:35) Regulation
(01:42:02) GSAI authors
(01:43:25) Outro
