Difference between revisions of "There is room for something like RAISE"
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Here are some more concrete ideas: | Here are some more concrete ideas: | ||
| − | * Detailed solutions for all of the prerequisite math books, e.g. for the ones listed at [https://intelligence.org/research-guide/]. I've started on one example of this at [https://taoanalysis.wordpress.com/] (though I'm writing that blog for other reasons as well). | + | * Detailed solutions for all of the prerequisite math books, e.g. for the ones listed at [https://intelligence.org/research-guide/]. I've started on one example of this at [https://taoanalysis.wordpress.com/] (though I'm writing that blog for other reasons as well). You might wonder, why not Stack Exchange or Quora or something? I already do this.<ref>https://math.stackexchange.com/users/35525/riceissa?tab=questions</ref><ref>https://stats.stackexchange.com/users/273265/riceissa?tab=questions</ref><ref>https://ai.stackexchange.com/users/33930/riceissa?tab=questions</ref><ref>https://biology.stackexchange.com/users/56456/riceissa?tab=questions</ref> I would say it works around half of the time, and actually this feeling of uncertainty, that I could spend time writing up my question only to be completely ignored, is one of the big reasons why I don't post more questions. |
* A network of tutors or people who have already worked through a particular book, where you can ask them questions in a really ''low friction'' way. A minimal implementation of this is to have a single tutor focusing on training/helping AI safety people, e.g. tutoring to get them quickly up to speed in some undergraduate subfield, or helping them digest "[[Logical Induction]]". this requires a kind of ADHD/"living library" mindset. | * A network of tutors or people who have already worked through a particular book, where you can ask them questions in a really ''low friction'' way. A minimal implementation of this is to have a single tutor focusing on training/helping AI safety people, e.g. tutoring to get them quickly up to speed in some undergraduate subfield, or helping them digest "[[Logical Induction]]". this requires a kind of ADHD/"living library" mindset. | ||
* Writing up actually good explanations for things like [[Solomonoff induction]], [[belief propagation]], [[Markov chain Monte Carlo]], etc. | * Writing up actually good explanations for things like [[Solomonoff induction]], [[belief propagation]], [[Markov chain Monte Carlo]], etc. | ||
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* [[My take on RAISE]] | * [[My take on RAISE]] | ||
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| + | ==References== | ||
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[[Category:AI safety meta]] | [[Category:AI safety meta]] | ||
[[Category:RAISE]] | [[Category:RAISE]] | ||
Revision as of 00:20, 19 May 2020
Self-studying all of the technical prerequisites for technical AI safety research is hard. The most that people new to the field get is a list of textbooks. I think there is room for something like what RAISE was trying to become: some sort of community/detailed resource/support structure/etc for people studying this stuff.
Here are some more concrete ideas:
- Detailed solutions for all of the prerequisite math books, e.g. for the ones listed at [1]. I've started on one example of this at [2] (though I'm writing that blog for other reasons as well). You might wonder, why not Stack Exchange or Quora or something? I already do this.[1][2][3][4] I would say it works around half of the time, and actually this feeling of uncertainty, that I could spend time writing up my question only to be completely ignored, is one of the big reasons why I don't post more questions.
- A network of tutors or people who have already worked through a particular book, where you can ask them questions in a really low friction way. A minimal implementation of this is to have a single tutor focusing on training/helping AI safety people, e.g. tutoring to get them quickly up to speed in some undergraduate subfield, or helping them digest "Logical Induction". this requires a kind of ADHD/"living library" mindset.
- Writing up actually good explanations for things like Solomonoff induction, belief propagation, Markov chain Monte Carlo, etc.
- Redpilling people about spaced repetition and other effective learning techniques.
- wiki pages on specific papers might also be useful
