We’re delighted to announce the winners of the Essay competition on the Automation of Wisdom and Philosophy.
** Overview** The competition attracted 90 entries in total (only one of which was obviously just the work of an LLM!), taking a wide variety of angles on the topic. The judges awarded the top four prizes as follows:
$7,000 to Rudolf Laine for essays on wisdom, amortised optimisation, and AI:
Part I: Wisdom, amortised optimisation, and AI
Part II: Growth and amortised optimisation
Part III: AI effects on amortised optimisation
$6,000 to Thane Ruthenis for Towards the operationalization of philosophy & wisdom
$4,000 to Chris Leong for essays on training wise AI systems:
An Overview of “Obvious” Approaches to Training Wise AI Advisors
Some Preliminary Notes on the Promise of a Wisdom Explosion
$3,000 to Gabriel Recchia for Should [...]
Outline:
(00:22) Overview
(02:19) Judge introductions
(03:55) Top Prize Winners
(04:12) Wisdom, amortised optimisation, and AI — Rudolf Laine — $7,000
(04:44) Summary
(06:07) BS's comments
(06:45) CN's comments
(08:46) DM's comments
(12:13) Towards the operationalization of philosophy and wisdom — Thane Ruthenis — $6,000
(12:21) Summary
(13:59) DM's comments
(17:02) CN's comments
(19:24) BS's comments
(21:38) Essays on training wise AI systems — Chris Leong — $4,000
(22:11) Summary
(23:20) CN's comments
(24:34) BS's comments
(25:11) Should we just be building more datasets? — Gabriel Recchia — $3,000
(25:19) Summary
(26:07) CN's comments
(27:56) BS's comments
(28:44) Runner-up prizes
(28:48) Designing Artificial Wisdom: The Wise Workflow Research Organization — Jordan Arel
(29:21) Summary
(30:31) CN's comments
(30:51) Philosophys Digital Future — Richard Yetter Chappell
(30:56) Summary
(31:45) BS's comments
(32:43) CN's comments
(32:59) Synthetic Socrates and the Philosophers of the Future — Jimmy Alfonso Licon
(33:06) Summary
(33:52) CN's comments
(34:08) BS's comments
(34:28) The Web of Belief — Paal Fredrik S. Kvarberg
(34:34) Summary
(35:57) CN's comments
(36:21) Wise AI support for government decision-making — Ashwin Acharya and Michaelah Gertz-Billingsley
(36:29) Summary
(37:35) CN's comments
(38:04) Machines and moral judgement — Jacob Sparks
(38:10) Summary
(39:02) CN's comments
(40:00) The purpose of philosophical AI will be: to orient ourselves in thinking — Maximilian Noichl
(40:09) Summary
(40:49) CN's comments
(41:12) BS's comments
(41:40) Cross-context deduction: on the capability necessary for LLM-philosophers — Rio Popper and Clem von Stengel
(41:50) Summary
(42:40) CN's comments
(43:40) DM's comments
(46:21) Evolutionary perspectives on AI values — Maria Avramidou
(46:27) Summary
(47:16) CN's comments
(48:05) BS's comments
(48:14) Tentatively against making AIs wise — Oscar Delaney
(48:20) Summary
(49:18) CN's comments
(49:53) Concluding thoughts
(50:21) BS's thoughts
(53:27) DM's thoughts
(55:50) AS's thoughts
(57:35) Acknowledgements
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First published: October 28th, 2024
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