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.
769d ago | techcrunch.com
768d ago | techcrunch.com
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765d ago | readwrite.com
765d ago | theglobeandmail.com
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771d ago | sciencebusiness.net
775d ago | gizmodo.com
767d ago | arstechnica.com
765d ago | cbc.ca
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771d ago | newatlas.com
768d ago | techcrunch.com
769d ago | techcrunch.com
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766d ago | softwarecrisis.dev
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776d ago | co.nz
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778d ago | newatlas.com
768d ago | gizmodo.com
790d ago | arstechnica.com
767d ago | searls.com
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765d ago | gerrymcgovern.com
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767d ago | techcrunch.com
767d ago | techcrunch.com
803d ago | newatlas.com
771d ago | geoffgraham.me
775d ago | platformer.news
765d ago | stanford.edu
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771d ago | arstechnica.com
769d ago | inthemargins.ca
770d ago | arstechnica.com
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768d ago | gizmodo.com
771d ago | readwrite.com
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765d ago | bloomberg.com
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791d ago | platformer.news
773d ago | thisdaysportion.com
777d ago | platformer.news