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Kevin Dorst: Against Irrationalist Narratives

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Manage episode 429515462 series 2975159
内容由Daniel Bashir提供。所有播客内容(包括剧集、图形和播客描述)均由 Daniel Bashir 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Episode 131

I spoke with Professor Kevin Dorst about:

* Subjective Bayesianism and epistemology foundations

* What happens when you’re uncertain about your evidence

* Why it’s rational for people to polarize on political matters

Enjoy—and let me know what you think!

Kevin is an Associate Professor in the Department of Linguistics and Philosophy at MIT. He works at the border between philosophy and social science, focusing on rationality.

Find me on Twitter for updates on new episodes, and reach me at [email protected] for feedback, ideas, guest suggestions.

I spend a lot of time on this podcast—if you like my work, you can support me on Patreon :) You can also support upkeep for the full Gradient team/project through a paid subscription on Substack!

Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (01:15) When do Bayesians need theorems?

* (05:52) Foundations of epistemology, metaethics, formal models, error theory

* (09:35) Extreme views and error theory, arguing for/against opposing positions

* (13:35) Changing focuses in philosophy — pragmatic pressures

* (19:00) Kevin’s goals through his research and work

* (25:10) Structural factors in coming to certain (political) beliefs

* (30:30) Acknowledging limited resources, heuristics, imperfect rationality

* (32:51) Hindsight Bias is Not a Bias

* (33:30) The argument

* (35:15) On eating cereal and symmetric properties of evidence

* (39:45) Colloquial notions of hindsight bias, time and evidential support

* (42:45) An example

* (48:02) Higher-order uncertainty

* (48:30) Explicitly modeling higher-order uncertainty

* (52:50) Another example (spoons)

* (54:55) Game theory, iterated knowledge, even higher order uncertainty

* (58:00) Uncertainty and philosophy of mind

* (1:01:20) Higher-order evidence about reliability and rationality

* (1:06:45) Being Rational and Being Wrong

* (1:09:00) Setup on calibration and overconfidence

* (1:12:30) The need for average rational credence — normative judgments about confidence and realism/anti-realism

* (1:15:25) Quasi-realism about average rational credence?

* (1:19:00) Classic epistemological paradoxes/problems — lottery paradox, epistemic luck

* (1:25:05) Deference in rational belief formation, uniqueness and permissivism

* (1:39:50) Rational Polarization

* (1:40:00) Setup

* (1:37:05) Epistemic nihilism, expanded confidence akrasia

* (1:40:55) Ambiguous evidence and confidence akrasia

* (1:46:25) Ambiguity in understanding and notions of rational belief

* (1:50:00) Claims about rational sensitivity — what stories we can tell given evidence

* (1:54:00) Evidence vs presentation of evidence

* (2:01:20) ChatGPT and the case for human irrationality

* (2:02:00) Is ChatGPT replicating human biases?

* (2:05:15) Simple instruction tuning and an alternate story

* (2:10:22) Kevin’s aspirations with his work

* (2:15:13) Outro

Links:

* Professor Dorst’s homepage and Twitter

* Papers

* Modest Epistemology

* Hedden: Hindsight bias is not a bias

* Higher-order evidence + (Almost) all evidence is higher-order evidence

* Being Rational and Being Wrong

* Rational Polarization

* ChatGPT and human irrationality


Get full access to The Gradient at thegradientpub.substack.com/subscribe
  continue reading

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Artwork
icon分享
 
Manage episode 429515462 series 2975159
内容由Daniel Bashir提供。所有播客内容(包括剧集、图形和播客描述)均由 Daniel Bashir 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Episode 131

I spoke with Professor Kevin Dorst about:

* Subjective Bayesianism and epistemology foundations

* What happens when you’re uncertain about your evidence

* Why it’s rational for people to polarize on political matters

Enjoy—and let me know what you think!

Kevin is an Associate Professor in the Department of Linguistics and Philosophy at MIT. He works at the border between philosophy and social science, focusing on rationality.

Find me on Twitter for updates on new episodes, and reach me at [email protected] for feedback, ideas, guest suggestions.

I spend a lot of time on this podcast—if you like my work, you can support me on Patreon :) You can also support upkeep for the full Gradient team/project through a paid subscription on Substack!

Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (01:15) When do Bayesians need theorems?

* (05:52) Foundations of epistemology, metaethics, formal models, error theory

* (09:35) Extreme views and error theory, arguing for/against opposing positions

* (13:35) Changing focuses in philosophy — pragmatic pressures

* (19:00) Kevin’s goals through his research and work

* (25:10) Structural factors in coming to certain (political) beliefs

* (30:30) Acknowledging limited resources, heuristics, imperfect rationality

* (32:51) Hindsight Bias is Not a Bias

* (33:30) The argument

* (35:15) On eating cereal and symmetric properties of evidence

* (39:45) Colloquial notions of hindsight bias, time and evidential support

* (42:45) An example

* (48:02) Higher-order uncertainty

* (48:30) Explicitly modeling higher-order uncertainty

* (52:50) Another example (spoons)

* (54:55) Game theory, iterated knowledge, even higher order uncertainty

* (58:00) Uncertainty and philosophy of mind

* (1:01:20) Higher-order evidence about reliability and rationality

* (1:06:45) Being Rational and Being Wrong

* (1:09:00) Setup on calibration and overconfidence

* (1:12:30) The need for average rational credence — normative judgments about confidence and realism/anti-realism

* (1:15:25) Quasi-realism about average rational credence?

* (1:19:00) Classic epistemological paradoxes/problems — lottery paradox, epistemic luck

* (1:25:05) Deference in rational belief formation, uniqueness and permissivism

* (1:39:50) Rational Polarization

* (1:40:00) Setup

* (1:37:05) Epistemic nihilism, expanded confidence akrasia

* (1:40:55) Ambiguous evidence and confidence akrasia

* (1:46:25) Ambiguity in understanding and notions of rational belief

* (1:50:00) Claims about rational sensitivity — what stories we can tell given evidence

* (1:54:00) Evidence vs presentation of evidence

* (2:01:20) ChatGPT and the case for human irrationality

* (2:02:00) Is ChatGPT replicating human biases?

* (2:05:15) Simple instruction tuning and an alternate story

* (2:10:22) Kevin’s aspirations with his work

* (2:15:13) Outro

Links:

* Professor Dorst’s homepage and Twitter

* Papers

* Modest Epistemology

* Hedden: Hindsight bias is not a bias

* Higher-order evidence + (Almost) all evidence is higher-order evidence

* Being Rational and Being Wrong

* Rational Polarization

* ChatGPT and human irrationality


Get full access to The Gradient at thegradientpub.substack.com/subscribe
  continue reading

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