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15 - Natural Abstractions with John Wentworth
Manage episode 329389180 series 2844728
Why does anybody care about natural abstractions? Do they somehow relate to math, or value learning? How do E. coli bacteria find sources of sugar? All these questions and more will be answered in this interview with John Wentworth, where we talk about his research plan of understanding agency via natural abstractions. Topics we discuss, and timestamps:
- 00:00:31 - Agency in E. Coli
- 00:04:59 - Agency in financial markets
- 00:08:44 - Inferring agency in real-world systems
- 00:16:11 - Selection theorems
- 00:20:22 - Abstraction and natural abstractions
- 00:32:42 - Information at a distance
- 00:39:20 - Why the natural abstraction hypothesis matters
- 00:44:48 - Unnatural abstractions used by humans?
- 00:49:11 - Probability, determinism, and abstraction
- 00:52:58 - Whence probabilities in deterministic universes?
- 01:02:37 - Abstraction and maximum entropy distributions
- 01:07:39 - Natural abstractions and impact
- 01:08:50 - Learning human values
- 01:20:47 - The shape of the research landscape
- 01:34:59 - Following John's work
The transcript: axrp.net/episode/2022/05/23/episode-15-natural-abstractions-john-wentworth.html
John on LessWrong: lesswrong.com/users/johnswentworth
Research that we discuss:
- Alignment by default - contains the natural abstraction hypothesis: alignmentforum.org/posts/Nwgdq6kHke5LY692J/alignment-by-default#Unsupervised__Natural_Abstractions
- The telephone theorem: alignmentforum.org/posts/jJf4FrfiQdDGg7uco/information-at-a-distance-is-mediated-by-deterministic
- Generalizing Koopman-Pitman-Darmois: alignmentforum.org/posts/tGCyRQigGoqA4oSRo/generalizing-koopman-pitman-darmois
- The plan: alignmentforum.org/posts/3L46WGauGpr7nYubu/the-plan
- Understanding deep learning requires rethinking generalization - deep learning can fit random data: arxiv.org/abs/1611.03530
- A closer look at memorization in deep networks - deep learning learns before memorizing: arxiv.org/abs/1706.05394
- Zero-shot coordination: arxiv.org/abs/2003.02979
- A new formalism, method, and open issues for zero-shot coordination: arxiv.org/abs/2106.06613
- Conservative agency via attainable utility preservation: arxiv.org/abs/1902.09725
- Corrigibility: intelligence.org/files/Corrigibility.pdf
Errata:
- E. coli has ~4,400 genes, not 30,000.
- A typical adult human body has thousands of moles of water in it, and therefore must consist of well more than 10 moles total.
42 Episoden
Manage episode 329389180 series 2844728
Why does anybody care about natural abstractions? Do they somehow relate to math, or value learning? How do E. coli bacteria find sources of sugar? All these questions and more will be answered in this interview with John Wentworth, where we talk about his research plan of understanding agency via natural abstractions. Topics we discuss, and timestamps:
- 00:00:31 - Agency in E. Coli
- 00:04:59 - Agency in financial markets
- 00:08:44 - Inferring agency in real-world systems
- 00:16:11 - Selection theorems
- 00:20:22 - Abstraction and natural abstractions
- 00:32:42 - Information at a distance
- 00:39:20 - Why the natural abstraction hypothesis matters
- 00:44:48 - Unnatural abstractions used by humans?
- 00:49:11 - Probability, determinism, and abstraction
- 00:52:58 - Whence probabilities in deterministic universes?
- 01:02:37 - Abstraction and maximum entropy distributions
- 01:07:39 - Natural abstractions and impact
- 01:08:50 - Learning human values
- 01:20:47 - The shape of the research landscape
- 01:34:59 - Following John's work
The transcript: axrp.net/episode/2022/05/23/episode-15-natural-abstractions-john-wentworth.html
John on LessWrong: lesswrong.com/users/johnswentworth
Research that we discuss:
- Alignment by default - contains the natural abstraction hypothesis: alignmentforum.org/posts/Nwgdq6kHke5LY692J/alignment-by-default#Unsupervised__Natural_Abstractions
- The telephone theorem: alignmentforum.org/posts/jJf4FrfiQdDGg7uco/information-at-a-distance-is-mediated-by-deterministic
- Generalizing Koopman-Pitman-Darmois: alignmentforum.org/posts/tGCyRQigGoqA4oSRo/generalizing-koopman-pitman-darmois
- The plan: alignmentforum.org/posts/3L46WGauGpr7nYubu/the-plan
- Understanding deep learning requires rethinking generalization - deep learning can fit random data: arxiv.org/abs/1611.03530
- A closer look at memorization in deep networks - deep learning learns before memorizing: arxiv.org/abs/1706.05394
- Zero-shot coordination: arxiv.org/abs/2003.02979
- A new formalism, method, and open issues for zero-shot coordination: arxiv.org/abs/2106.06613
- Conservative agency via attainable utility preservation: arxiv.org/abs/1902.09725
- Corrigibility: intelligence.org/files/Corrigibility.pdf
Errata:
- E. coli has ~4,400 genes, not 30,000.
- A typical adult human body has thousands of moles of water in it, and therefore must consist of well more than 10 moles total.
42 Episoden
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