Challenges of Verification Processes in AI Safety

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The chapter explores the difficulties and limitations of verifying AI systems, particularly in ensuring safety and managing self-improving capabilities. It discusses the challenges of formal verifications, mathematical proofs, and the necessity of verifying AI itself. The conversation also touches on the role of uncertainty and self-doubt in controlling superintelligent AI systems for better decision-making.

Roman Yampolskiy is an AI safety researcher and author of a new book titled AI: Unexplainable, Unpredictable, Uncontrollable. Please support this podcast by checking out our sponsors:
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Transcript: https://lexfridman.com/roman-yampolskiy-transcript

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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(09:12) – Existential risk of AGI
(15:25) – Ikigai risk
(23:37) – Suffering risk
(27:12) – Timeline to AGI
(31:44) – AGI turing test
(37:06) – Yann LeCun and open source AI
(49:58) – AI control
(52:26) – Social engineering
(54:59) – Fearmongering
(1:04:49) – AI deception
(1:11:23) – Verification
(1:18:22) – Self-improving AI
(1:30:34) – Pausing AI development
(1:36:51) – AI Safety
(1:46:35) – Current AI
(1:51:58) – Simulation
(1:59:16) – Aliens
(2:00:50) – Human mind
(2:07:10) – Neuralink
(2:16:15) – Hope for the future
(2:20:11) – Meaning of life