• #76 (Bonus) - Is P(doom) meaningful? Debating epistemology (w/ Liron Shapira)

  • 2024/11/08
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#76 (Bonus) - Is P(doom) meaningful? Debating epistemology (w/ Liron Shapira)

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  • Liron Shapira, host of [Doom Debates], invited us on to discuss Popperian versus Bayesian epistemology and whether we're worried about AI doom. As one might expect knowing us, we only got about halfway through the first subject, so get yourselves ready (presumably with many drinks) for part II in a few weeks! The era of Ben and Vaden's rowdy youtube debates has begun. Vaden is jubilant, Ben is uncomfortable, and the world has never been more annoyed by Popperians. Follow Liron on twitter (@liron) and check out the Doom Debates youtube channel (https://www.youtube.com/@DoomDebates) and podcast (https://podcasts.apple.com/us/podcast/doom-debates/id1751366208). We discuss Whether we're concerned about AI doom Bayesian reasoning versus Popperian reasoning Whether it makes sense to put numbers on all your beliefs Solomonoff induction Objective vs subjective Bayesianism Prediction markets and superforecasting References Vaden's blog post on Cox's Theorem and Yudkowsky's claims of "Laws of Rationality": https://vmasrani.github.io/blog/2021/thecredenceassumption/ Disproof of probabilistic induction (including Solomonov Induction): https://arxiv.org/abs/2107.00749 EA Post Vaden Mentioned regarding predictions being uncalibrated more than 1yr out: https://forum.effectivealtruism.org/posts/hqkyaHLQhzuREcXSX/data-on-forecasting-accuracy-across-different-time-horizons#Calibrations Article by Gavin Leech and Misha Yagudin on the reliability of forecasters: https://ifp.org/can-policymakers-trust-forecasters/ Superforecaster p(doom) is ~1%: https://80000hours.org/2024/09/why-experts-and-forecasters-disagree-about-ai-risk/#:~:text=Domain%20experts%20in%20AI%20estimated,by%202100%20(around%2090%25). The existential risk persuasion tournament https://www.astralcodexten.com/p/the-extinction-tournament Some more info in Ben's article on superforecasting: https://benchugg.com/writing/superforecasting/ Slides on Content vs Probability: https://vmasrani.github.io/assets/pdf/popper_good.pdf Socials Follow us on Twitter at @IncrementsPod, @BennyChugg, @VadenMasrani, @liron Come join our discord server! DM us on twitter or send us an email to get a supersecret link Trust in the reverend Bayes and get exclusive bonus content by becoming a patreon subscriber here (https://www.patreon.com/Increments). Or give us one-time cash donations to help cover our lack of cash donations here (https://ko-fi.com/increments). Click dem like buttons on youtube (https://www.youtube.com/channel/UC_4wZzQyoW4s4ZuE4FY9DQQ) What's your credence that the second debate is as fun as the first? Tell us at incrementspodcast@gmail.com Special Guest: Liron Shapira.
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あらすじ・解説

Liron Shapira, host of [Doom Debates], invited us on to discuss Popperian versus Bayesian epistemology and whether we're worried about AI doom. As one might expect knowing us, we only got about halfway through the first subject, so get yourselves ready (presumably with many drinks) for part II in a few weeks! The era of Ben and Vaden's rowdy youtube debates has begun. Vaden is jubilant, Ben is uncomfortable, and the world has never been more annoyed by Popperians. Follow Liron on twitter (@liron) and check out the Doom Debates youtube channel (https://www.youtube.com/@DoomDebates) and podcast (https://podcasts.apple.com/us/podcast/doom-debates/id1751366208). We discuss Whether we're concerned about AI doom Bayesian reasoning versus Popperian reasoning Whether it makes sense to put numbers on all your beliefs Solomonoff induction Objective vs subjective Bayesianism Prediction markets and superforecasting References Vaden's blog post on Cox's Theorem and Yudkowsky's claims of "Laws of Rationality": https://vmasrani.github.io/blog/2021/thecredenceassumption/ Disproof of probabilistic induction (including Solomonov Induction): https://arxiv.org/abs/2107.00749 EA Post Vaden Mentioned regarding predictions being uncalibrated more than 1yr out: https://forum.effectivealtruism.org/posts/hqkyaHLQhzuREcXSX/data-on-forecasting-accuracy-across-different-time-horizons#Calibrations Article by Gavin Leech and Misha Yagudin on the reliability of forecasters: https://ifp.org/can-policymakers-trust-forecasters/ Superforecaster p(doom) is ~1%: https://80000hours.org/2024/09/why-experts-and-forecasters-disagree-about-ai-risk/#:~:text=Domain%20experts%20in%20AI%20estimated,by%202100%20(around%2090%25). The existential risk persuasion tournament https://www.astralcodexten.com/p/the-extinction-tournament Some more info in Ben's article on superforecasting: https://benchugg.com/writing/superforecasting/ Slides on Content vs Probability: https://vmasrani.github.io/assets/pdf/popper_good.pdf Socials Follow us on Twitter at @IncrementsPod, @BennyChugg, @VadenMasrani, @liron Come join our discord server! DM us on twitter or send us an email to get a supersecret link Trust in the reverend Bayes and get exclusive bonus content by becoming a patreon subscriber here (https://www.patreon.com/Increments). Or give us one-time cash donations to help cover our lack of cash donations here (https://ko-fi.com/increments). Click dem like buttons on youtube (https://www.youtube.com/channel/UC_4wZzQyoW4s4ZuE4FY9DQQ) What's your credence that the second debate is as fun as the first? Tell us at incrementspodcast@gmail.com Special Guest: Liron Shapira.
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