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 doing that for other reasons as well).
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* 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).
 
* 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 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.
 
* 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.

Revision as of 20:15, 18 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).
  • 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.
  • 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 studying techniques.