[rotskoff]

I have found that the machine learning research community uses twitter pretty effectively. I don't tweet myself, but I do follow a good number of other researchers and often find interesting papers and results through the venue. It's much more effective than scouring the arXiv.

[duxup]

Yeah it's hard to curate a feed, I'm sure there are good groups out there (there has to be). I just struggle to find them.

[modeless]

I get a lot of value from Twitter's AI and computer graphics communities, but I used to see a lot of retweeted political garbage too. I found that Twitter's "mute words" feature works wonders. After muting about 100 words ("trump", "obama", "republican", "democrat", "evil", "lied", "nazi", that obnoxious hand clap emoji, etc) it's like a whole different place. Much less rage-inducing.

You can also disable Twitter's annoying engagement-boosting features by muting special undocumented tokens like "suggest_recycled_tweet_inline" and "suggest_who_to_follow". https://www.androidpolice.com/2018/09/19/twitters-annoying-f...

[vslira]

Maybe the machine mearning community is particularly good at curating feeds, heh

[dotancohen]

You should write a bot in Scikit / Python to scrape Arxiv for interesting articles!