@Suhail: I've started doing a lot of async learning where I'll take every interesting blog post, tweet, arxiv paper and ask AI t…

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Summary

The author shares a personal workflow where they use an AI prompt to summarize interesting content (blog posts, tweets, papers) for later asynchronous learning, finding it more effective than just bookmarking.

I've started doing a lot of async learning where I'll take every interesting blog post, tweet, arxiv paper and ask AI to teach me it with a specific prompt. I never read it in the moment, I just queue it up for later. Then when I have a block of time (in an uber, before bed, etc), I'll go and read it vs doomscrolling X. This is somehow become better than saving links in Notes or something because when I finally have time to read it, there's this highly approachable artifact for me to dive into, read, and ask follow up questions. I feel like I am learning at a much faster rate than I ever have before. Even if the content was poorly written, AI can fix it to your liking and adapt to your experience level.
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Cached at: 06/29/26, 02:26 AM

I’ve started doing a lot of async learning where I’ll take every interesting blog post, tweet, arxiv paper and ask AI to teach me it with a specific prompt. I never read it in the moment, I just queue it up for later. Then when I have a block of time (in an uber, before bed, etc), I’ll go and read it vs doomscrolling X.

This is somehow become better than saving links in Notes or something because when I finally have time to read it, there’s this highly approachable artifact for me to dive into, read, and ask follow up questions.

I feel like I am learning at a much faster rate than I ever have before. Even if the content was poorly written, AI can fix it to your liking and adapt to your experience level.

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