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LessWrong에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 LessWrong 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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“‘The Solomonoff Prior is Malign’ is a special case of a simpler argument” by David Matolcsi

21:02
 
공유
 

Manage episode 451809688 series 3364760
LessWrong에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 LessWrong 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
[Warning: This post is probably only worth reading if you already have opinions on the Solomonoff induction being malign, or at least heard of the concept and want to understand it better.]
Introduction
I recently reread the classic argument from Paul Christiano about the Solomonoff prior being malign, and Mark Xu's write-up on it. I believe that the part of the argument about the Solomonoff induction is not particularly load-bearing, and can be replaced by a more general argument that I think is easier to understand. So I will present the general argument first, and only explain in the last section how the Solomonoff prior can come into the picture.
I don't claim that anything I write here is particularly new, I think you can piece together this picture from various scattered comments on the topic, but I think it's good to have it written up in one place.
[...]
---
Outline:
(00:17) Introduction
(00:56) How an Oracle gets manipulated
(05:25) What went wrong?
(05:28) The AI had different probability estimates than the humans for anthropic reasons
(07:01) The AI was thinking in terms of probabilities and not expected values
(08:40) Probabilities are cursed in general, only expected values are real
(09:19) What about me?
(13:00) Should this change any of my actions?
(16:25) How does the Solomonoff prior come into the picture?
(20:10) Conclusion
The original text contained 14 footnotes which were omitted from this narration.
---
First published:
November 17th, 2024
Source:
https://www.lesswrong.com/posts/KSdqxrrEootGSpKKE/the-solomonoff-prior-is-malign-is-a-special-case-of-a
---
Narrated by TYPE III AUDIO.
  continue reading

378 에피소드

Artwork
icon공유
 
Manage episode 451809688 series 3364760
LessWrong에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 LessWrong 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
[Warning: This post is probably only worth reading if you already have opinions on the Solomonoff induction being malign, or at least heard of the concept and want to understand it better.]
Introduction
I recently reread the classic argument from Paul Christiano about the Solomonoff prior being malign, and Mark Xu's write-up on it. I believe that the part of the argument about the Solomonoff induction is not particularly load-bearing, and can be replaced by a more general argument that I think is easier to understand. So I will present the general argument first, and only explain in the last section how the Solomonoff prior can come into the picture.
I don't claim that anything I write here is particularly new, I think you can piece together this picture from various scattered comments on the topic, but I think it's good to have it written up in one place.
[...]
---
Outline:
(00:17) Introduction
(00:56) How an Oracle gets manipulated
(05:25) What went wrong?
(05:28) The AI had different probability estimates than the humans for anthropic reasons
(07:01) The AI was thinking in terms of probabilities and not expected values
(08:40) Probabilities are cursed in general, only expected values are real
(09:19) What about me?
(13:00) Should this change any of my actions?
(16:25) How does the Solomonoff prior come into the picture?
(20:10) Conclusion
The original text contained 14 footnotes which were omitted from this narration.
---
First published:
November 17th, 2024
Source:
https://www.lesswrong.com/posts/KSdqxrrEootGSpKKE/the-solomonoff-prior-is-malign-is-a-special-case-of-a
---
Narrated by TYPE III AUDIO.
  continue reading

378 에피소드

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