[HN Gopher] Ask HN: How do you stay on top of advances in AI?
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       Ask HN: How do you stay on top of advances in AI?
        
       The rate of change in the AI space is super fast. What are some of
       the best ways to stay on top on what's going on in AI (let's say on
       a weekly or bi-weekly basis) without having to be glued to social
       media or compile a bunch of different sources together from across
       the Internet manually?  Let's say for example that I'm a founder in
       the space, and want to be abreast of what the major new things are
       this week.  I'm thinking, at the least:  * Press releases from
       relevant companies  * Relevant new research papers  * News articles
       * Blogs  * Open-source library updates  * Videos  * Tweets
        
       Author : mbm
       Score  : 5 points
       Date   : 2023-06-13 21:31 UTC (1 hours ago)
        
       | PaulHoule wrote:
       | I leave it to YOShInOn, the smart RSS reader I have been dreaming
       | about since 2005. YOShInOn ingested 2054 articles (not all about
       | A.I.) and picked out 300 to show to me based on a transformer
       | model. I make thumbs up, thumbs down or favorite jugements on the
       | articles in an interface that looks like TikTok or Stumbleupon.
       | One feed it ingests is
       | 
       | https://arxiv.org/list/cs/new
       | 
       | and it's learned that I really like anything about reccomendation
       | systems, text classifiers and many kinds of deep network but that
       | I'm not so interested in reinforcement learning, theoretical CS,
       | etc.
       | 
       | I had a fight with it early on when it struggled to understand
       | that I liked the NFL but not the Premier League but in the
       | process of understanding why I read so many articles about
       | football and I started thinking "Wow, they won that game 1-0 and
       | it was an own goal" and wondering "How would I feel if it was my
       | team that got relegated?" and before I knew it I cared if Man
       | City or Arsenal came out on top...
        
       | paulddraper wrote:
       | HN
        
       | mindcrime wrote:
       | Twitter / Mastodon - I follow a lot of researchers and other
       | people in this space.
       | 
       | (Perhaps surprisingly) Facebook - I'm in a few AI/ML/DL related
       | groups, and there's one individual in particular who does a
       | really good job of identifying interesting new papers and
       | articles that show up and then submits the links or one or more
       | of those groups.
       | 
       | Google News - mostly popsci articles show up here, but a few are
       | of interest now and then.
       | 
       | HN - A few really interesting AI related links show up here from
       | time to time.
       | 
       | /r/machinelearning on reddit
       | 
       | /r/artificial on reddit
       | 
       | Manually browsing ArXiv, JMLR, JAIR, and a handful of similar
       | sites.
       | 
       | Email newsletters - I am subscribed to a few newsletters that
       | surface interesting items
       | 
       | Youtube - some conferences put all (or most, or some) of their
       | presentations up on Youtube. The AGI conference, for example,
       | usually has their presentations there. NeurIPS also posts a lot
       | (if not all) of their sessions. And so on...
        
         | mbm wrote:
         | * * *
        
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       (page generated 2023-06-13 23:03 UTC)