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
- Linksdanielpaleka.com
- How to Twitter Successfully | near.blognear.blog
- An Opinionated Guide to ML Researchjoschu.net
- How I use Twitterkrausefx.com
- Tips for Empirical Alignment Research — AI Alignment Forumalignmentforum.org
- The Serendipity Machine - Nabeel S. Qureshinabeelqu.substack.com
- Twittergrantslatton.com
- vivek on X: "how to be good at research" / Xx.com
- Research Taste Exercises [rough note] -- colah's blogcolah.github.io
- GitHub - igorbrigadir/awesome-twitter-algo: The release of the Twitter algorithm, annotated for recsys · GitHubgithub.com
- How to Blow Up a Timeline - Remains of the Dayeugenewei.com
- GitHub - eleurent/twitter-graph: Fetch and visualize the graph of your Twitter friends and followers.github.com