What is the future of AI? Some say it is bright and shiny, others see a dark dystopia. But who is really right or wrong and how can we tell the difference? There is so much noise in the media that the reader easily gets lost. I get lost too, because I apply emotion and personal bias.
To help myself, I decided to let a machine do it for me (how ironic). I trained one of our text classifiers to distinguish betwen three categories (concerned, curious, and excited) and let it get fed with the latest content on AI that appears online. The result is the constantly updated list you will see below. The model is not perfect, but is slowly getting better, as I train it with more and more data.
For feedback and suggestions, feel free to get in touch on Mastodon and Twitter.
880d ago | ldc.upenn.edu
874d ago | techcrunch.com
874d ago | arstechnica.com
876d ago | ieee.org
875d ago | theconversation.com
877d ago | readwrite.com
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881d ago | schneier.com
882d ago | macworld.com
879d ago | ben-evans.com
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877d ago | 3quarksdaily.com
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881d ago | emerging-europe.com
888d ago | arstechnica.com
874d ago | theconversation.com
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874d ago | github.com
909d ago | platformer.news
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875d ago | harpers.org
884d ago | newatlas.com
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875d ago | creativeapplications.net
874d ago | theverge.com
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889d ago | newatlas.com
877d ago | bigthink.com
876d ago | every.to
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880d ago | livescience.com
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874d ago | mit.edu
874d ago | techcrunch.com
876d ago | flowingdata.com
881d ago | calnewport.com
876d ago | techcrunch.com
881d ago | emerging-europe.com
879d ago | readwrite.com
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876d ago | skift.com
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875d ago | arstechnica.com
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876d ago | politico.eu
875d ago | arstechnica.com
875d ago | arstechnica.com
876d ago | techcrunch.com
874d ago | theverge.com
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874d ago | theregister.com
902d ago | newatlas.com