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Consistently Candid
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#17 Fun Theory with Noah Topper

1 tim 26 min•8 november 2024

The Fun Theory Sequence is one of Eliezer Yudkowsky's cheerier works, and considers questions such as 'how much fun is there in the universe?', 'are we having fun yet' and 'could we be having more fun?'. It tries to answer some of the philosophical quandries we might encounter when envisioning a post-AGI utopia.

In this episode, I discussed Fun Theory with Noah Topper, who loyal listeners will remember from episode 7, in which we tackled EY's equally interesting but less fun essay, A List of Lethalities.

Follow Noah on Twitter and check out his Substack!


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#20 Frances Lorenz on the emotional side of AI x-risk, being a woman in a male-dominated online space & more
•52 min
#19 Gabe Alfour on why AI alignment is hard, what it would mean to solve it & what ordinary people can do about existential risk
•1 tim 37 min
#18 Nathan Labenz on reinforcement learning, reasoning models, emergent misalignment & more
•1 tim 46 min
#16 John Sherman on the psychological experience of learning about x-risk and AI safety messaging strategies
•53 min
#14 Buck Shlegeris on AI control
•49 min
#13 Aaron Bergman and Max Alexander debate the Very Repugnant Conclusion
•1 tim 54 min
#12 Deger Turan on all things forecasting
•54 min
#11 Katja Grace on the AI Impacts survey, the case for slowing down AI & arguments for and against x-risk
•1 tim 17 min
#10 Nathan Labenz on the current AI state-of-the-art, the Red Team in Public project, reasons for hope on AI x-risk & more
•1 tim 54 min
#9 Sneha Revanur on founding Encode Justice, California's SB-1047, and youth advocacy for safe AI development
•50 min

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