π Node [[articles]] β
π articles.md (contribution by @an_agora@twitter.com) β π βΆ
β¨ AI Synthesis Mistral Gemini ChatGPT Claude
Expanding this section will automatically generate an AI synthesis of the contributions in this node.
Expanding this section will automatically generate an AI synthesis of the contributions in this node.
Rendering context...
I first thought about this is the context of a [[Layer 0]] when thinking about [[progressive summarisation]]. I then came across the term [[Antilibrary]], and that fits pretty well.
I realised that just by virtue of having ‘layer 0’, the source text, as part of the progressive summarisation process - I felt less bad about having hundreds of unread articles saved in Wallabag. I feel good about it in fact! It’s the first step of note-taking - I know I have source material on the topic to come back to, recommended by someone I trust, when this topic comes back into my focus. I can dig deeper into it then if I want.
This is very positive. I had started to think of the wealth of information out there on the web as [[information overload]]. But now I can go back to thinking about it as an amazing resource, to be tapped into when needed.
Thereβs a trend toward short (~500 word) articles here; itβs a trend that wonβt survive, since it alienates people who want a less casualβ¦
I for one appreciate your resistance to cutting down your articles. I like to read deep, informative writing, and your work here on medium is some of the best.
Thereβs a trend toward short (~500 word) articles here; itβs a trend that wonβt survive, since it alienates people who want a less casual approach to learning.
By John Ohno on October 17, 2016.
[Canonical link](https://medium.com/@enkiv2/i-for-one-appreciate-your- resistance-to-cutting-down-your-articles-60ea45c60b59)
Exported from Medium on September 18, 2020.