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 | + | * 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.
