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.
881d ago | niemanlab.org
879d ago | livescience.com
923d ago | platformer.news
883d ago | newscientist.com
925d ago | platformer.news
880d ago | gizmodo.com
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880d ago | arstechnica.com
883d ago | niemanlab.org
881d ago | techcrunch.com
883d ago | newatlas.com
882d ago | techcrunch.com
883d ago | every.to
880d ago | techcrunch.com
881d ago | techcrunch.com
881d ago | readwrite.com
880d ago | techcrunch.com
881d ago | platformer.news
880d ago | gizmodo.com
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882d ago | stat.columbia.edu
881d ago | sciencebusiness.net
887d ago | arstechnica.com
878d ago | iflscience.com
889d ago | newatlas.com
882d ago | readwrite.com
882d ago | gizmodo.com
881d ago | techcrunch.com
882d ago | gizmodo.com
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882d ago | mit.edu
904d ago | platformer.news
882d ago | techcrunch.com
882d ago | techcrunch.com
883d ago | readwrite.com
882d ago | arstechnica.com
880d ago | gizmodo.com
882d ago | readwrite.com
878d ago | tinybots.net
879d ago | comfyuiweb.com
882d ago | readwrite.com
884d ago | readwrite.com
919d ago | platformer.news
882d ago | techcrunch.com
916d ago | platformer.news