Balancing AI Capabilities and Safety in a Capitalist Society

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Exploring the challenges of prioritizing AI safety over economic gain within a capitalist framework, emphasizing the need to align safety measures with capitalist motivations to avoid catastrophic consequences. Delving into defining explicit capabilities for AI systems to ensure safety while navigating the complexities of advancing AI performance and maintaining safety standards.

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