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LW - Which LessWrong/Alignment topics would you like to be tutored in? [Poll] by Ruby
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When? This feed was archived on November 22, 2024 12:25 (). Last successful fetch was on September 26, 2024 16:04 ()
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Manage episode 440772621 series 2997284
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.
Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org
2447 episodios
Series guardadas ("Feed inactivo" status)
When? This feed was archived on November 22, 2024 12:25 (). Last successful fetch was on September 26, 2024 16:04 ()
Why? Feed inactivo status. Nuestros servidores no pudieron recuperar un podcast válido durante un período sostenido.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 440772621 series 2997284
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.
Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org
2447 episodios
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