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Tag: Nate Soares

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Apr 30, 2026
acx
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11 min 1,687 words 438 comments 251 likes podcast (11 min)
Scott explores what constitutes a deontological bar (hard moral rule) by examining when consequentialist reasoning should be constrained, using debates within AI safety about working with AI companies versus pursuing regulation as his main examples. Longer summary
Scott examines the concept of deontological bars - hard moral rules that shouldn't be broken even for good consequences - and tries to develop a framework for determining what counts as such a rule. He starts with the classic example of not assassinating leaders, then explores various formulations like 'act as if your maxim would become a general law' and 'don't defect from functioning norms,' testing them against cases like military disarmament and spreading misinformation. The post is motivated by debates in AI safety between those working with AI companies and those pursuing pause/ban regulations, with each side suspecting the other might be violating deontological bars. Scott proposes that the rule might be 'don't do something which would be bad if universalized, unless the norm is non-functioning in such a way that you'd be playing cooperate while your enemy plays defect,' though he acknowledges this requires interpretive work and common sense to apply. Shorter summary
Sep 11, 2025
acx
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46 min 7,096 words 1,060 comments 480 likes podcast (43 min)
Scott reviews a new book by Yudkowsky and Soares that makes an uncompromising case for halting AI development to prevent human extinction, analyzing both its arguments and its potential impact as a call to action. Longer summary
Scott reviews Eliezer Yudkowsky and Nate Soares' upcoming book 'If Anyone Builds It, Everyone Dies' about AI safety. The book makes an uncompromising case that AI development will likely lead to human extinction and should be halted immediately through an international treaty and arms control regime. Scott analyzes both the book's arguments and writing style, finding the core message compelling but questioning some of the specific scenarios presented. He reflects on why many people reject existential AI risk warnings using similar dismissive patterns seen with other potential catastrophic risks. Shorter summary
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