10 ways LLMs could help reading
Here's 10 (not all of these are LLM-only):
- Prepend every article with an auto-generated tl;dr 3-bullet point summary.
- "Chat with the article" ask questions about it using chat.
- Semantic highlighting layer for most salient sentences/paragraphs in the paper. (closest to a generated summary)
- For every link in the article, generate a 1-sentence summary of that article as well, let me "peek" at it or embed it in the text.
- Show me my own relevant highlights/notes/comments that are most closely related to the current article.
- Turn whole article into bullet-point outline format. Toggle between this mode and full article mode.
- Generate taxonomic descriptions of the article: howto, diatribe, polemical, fanciful, educational, etc. (think Netflix movie descriptions)
- Rank closeness to things I've already read. Might want to use this to stay in the niche or to branch out.
- When I go to add a comment for a highlight, auto-generate 3 possible comments for me. Use my previous comments in the prompt.
- Tell me when to stop reading. When article is basically repeating same points, warn me to stop.
10 Ways LLMs Could Help Reading
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10 ways LLMs could help reading