how to optimise twitter for good ML research takes (or anything else)
twitter, for all the hate it gets, is surprisingly useful — if used well. in particular, in the ML research community, it ends up being an important channel through which early results are disseminated, and through which researchers share their half-baked thoughts.
twitter, for all the hate it gets, is surprisingly useful — if used well. in particular, in the ML research community, it ends up being an important channel through which early results are disseminated, and through which researchers share their half-baked thoughts. (note that many other non-ML fields also have a strong twitter presence.) unfortunately, the default state of the twitter algorithm is to flood you with slop: cat photos and political rants. this leads to a less than ideal research-browsing experience. to get anything else, you have to explicitly teach twitter’s algorithm that…
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related reading
- How to Twitter Successfully | near.blognear.blog
- The Serendipity Machine (Notes on Using Twitter) — Nabeel S. Qureshinabeelqu.co
- Remains of the Dayeugenewei.com
- Linksdanielpaleka.com
- GitHub - igorbrigadir/awesome-twitter-algo: The release of the Twitter algorithm, annotated for recsys · GitHubgithub.com
- The Serendipity Machine - Nabeel S. Qureshinabeelqu.substack.com
- How to Blow Up a Timeline - Remains of the Dayeugenewei.com
- A blog post is a very long and complex search query to find fascinating people and make them route interesting stuff to your inboxhenrikkarlsson.xyz
- What do I think about Community Notes?vitalik.eth.limo
- A Guide to Twitter - Tasshintasshin.com
- Threads and the Social/Communications Map – Stratechery by Ben Thompsonstratechery.com
- How I use Twitterkrausefx.com