What we read this week (22 November)

Welcome to Things we read this week, a weekly post featuring articles from around the internet recommended by BMJ Labs.




  • Fascinating bit of work by Iterable presenting the user engagement journey timelines for the top US newspapers:


  • Open AI have released an analysis showing that “since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.4-month doubling time (by comparison, Moore’s Law had a 2-year doubling period). Since 2012, this metric has grown by more than 300,000x (a 2-year doubling period would yield only a 7x increase). Improvements in compute have been a key component of AI progress, so as long as this trend continues, it’s worth preparing for the implications of systems far outside today’s capabilities”.
  • The New powers, new responsibilities. A global survey of journalism and artificial intelligence is a fantastic report which has come out of a collaboration between LSE’s Polis and the Google News Initiative to foster literacy in newsrooms about artificial intelligence.

Watch the video summmary: https://youtu.be/p-DGp1ot0EE
Lots of interesting applications:

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