LW - Which LessWrong/Alignment topics would you like to be tutored in? [Poll] by Ruby

The Nonlinear Library: LessWrong

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Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Which LessWrong/Alignment topics would you like to be tutored in? [Poll], published by Ruby on September 19, 2024 on LessWrong.
Would you like to be tutored in applied game theory, natural latents, CFAR-style rationality techniques, "general AI x-risk", Agent Foundations, anthropic
s
, or some
other topics
discussed on LessWrong?
I'm thinking about prototyping some topic-specific LLM tutor bots, and would like to prioritize topics that multiple people are interested in.
Topic-specific LLM tutors would be customized with things like pre-loaded relevant context, helpful system prompts, and more focused testing to ensure they work.
Note: I'm interested in topics that are written about on LessWrong, e.g. infra-bayesianism, and
not
magnetohydrodynamics".
I'm going to use the same poll infrastructure that
Ben Pace pioneered
recently. There is a
thread below
where you add and vote on topics/domains/areas where you might like tutoring.
1. Karma: upvote/downvote to express enthusiasm about there being tutoring for a topic.
2. Reacts: click on the agree react to indicate you personally would like tutoring on a topic.
3. New Poll Option. Add a new topic for people express interest in being tutored on.
For the sake of this poll, I'm more interested in whether you'd like tutoring on a topic or not, separate from the question of whether you think a tutoring bot would be any good. I'll worry about that part.
Background
I've been playing around with LLMs a lot in the past couple of months and so far my favorite use case is tutoring. LLM-assistance is helpful via multiple routes such as providing background context with less effort than external search/reading, keeping me engaged via interactivity, generating examples, and breaking down complex sections into more digestible pieces.
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