For papers/articles processing I use AI with pre-defined instructions to create short/medium summaries. The summary should give me good understanding of the main idea and if its worth reading it deeper. Even if not - main idea would be in your head.
I just read about system designs/agorithms for an hour max and take small notes helps me stay upto date without having a information overload.
Regrading the too much raw info issue is real and I still struggle with it but i have learned to ignore it till i actually need that info
I use this approach with worlds news. I've noticed if I don't read any political news, I will eventually know the most important once which affects me.
I have this list on x of 67 people posting on AI related topics: https://x.com/i/lists/2014953069700633085
For papers/articles processing I use AI with pre-defined instructions to create short/medium summaries. The summary should give me good understanding of the main idea and if its worth reading it deeper. Even if not - main idea would be in your head.
These summaries I accumulate into hierarchical knowledge base, optimized for Obsidian and llms https://github.com/sermakarevich/ai_knowledge_wiki
I just read about system designs/agorithms for an hour max and take small notes helps me stay upto date without having a information overload. Regrading the too much raw info issue is real and I still struggle with it but i have learned to ignore it till i actually need that info
I don't. Any information that's important will naturally come to me by diffusion via coworkers, HN or similar.
I use this approach with worlds news. I've noticed if I don't read any political news, I will eventually know the most important once which affects me.
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