We've just launched a new experimental feature: "Automated Jargon Glossaries." If it goes well, it may pave the way for things like LaTeX hoverovers and other nice things. Whenever an author with 100+ karma saves a draft of a post, our database queries a language model to:
Identify terms that readers might not know. Write a first draft of an explanation of that term Make a guess as to which terms are useful enough to include.
By default, explanations are not shown to readers. Authors get to manually approve term/explanations that they like, or edit them. Authors will see a UI looking like this, allowing them to enable terms so readers see them. They can also edit them (by clicking on the term). Meanwhile, here's a demo of what readers might see, from the Infra-Bayesian physicalism post.[1] TLDR: We present a new formal decision theory that realizes naturalized [...]
Outline:
(01:54) 0. Background
(02:47) Managing Slop: Author Approval and Opt In
(06:16) The longterm vision
(06:31) Automated adjust to reader level.
(07:26) The 0-1 second level
(08:33) LaTeX
(08:52) Curating technical posts
(09:52) Higher level distillation
(10:27) Remember AI capabilities are probably bad, actually
(11:05) Feedback
The original text contained 1 footnote which was omitted from this narration.
The original text contained 1 image which was described by AI.
First published: November 1st, 2024
Source: https://www.lesswrong.com/posts/sZvMLWrWomN28uWA9/jargonbot-beta-test)
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