PhD AI Researcher Says P(Doom) is TINY — Debate with Michael Timothy Bennett
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Show Notes
Dr. Michael Timothy Bennett, Ph.D, is an award-winning young researcher who has developed a new formal framework for understanding intelligence. He has a TINY P(Doom) because he claims superintelligence will be resource-constrained and tend toward cooperation.
In this lively debate, I stress-test Michael’s framework and debate whether its theorized constraints will actually hold back superintelligent AI.
Timestamps
* 00:00 Trailer
* 01:41 Introducing Michael Timothy Bennett
* 04:33 What’s Your P(Doom)?™
* 10:51 Michael’s Thesis on Intelligence: “Abstraction Layers”, “Adaptation”, “Resource Efficiency”
* 25:36 Debate: Is Einstein Smarter Than a Rock?
* 39:07 “Embodiment”: Michael’s Unconventional Computation Theory vs Standard Computation
* 48:28 “W-Maxing”: Michael’s Intelligence Framework vs. a Goal-Oriented Framework
* 59:47 Debating AI Doom
* 1:09:49 Debating Instrumental Convergence
* 1:24:00 Where Do You Get Off The Doom Train™ — Identifying The Cruxes of Disagreement
* 1:44:13 Debating AGI Timelines
* 1:49:10 Final Recap
Links
Michael’s website — https://michaeltimothybennett.com
Michael’s Twitter — https://x.com/MiTiBennett
Michael’s latest paper, “How To Build Conscious Machines” — https://osf.io/preprints/thesiscommons/wehmg_v1?view_only
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