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
769d ago | techcrunch.com
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775d ago | gizmodo.com
768d ago | techcrunch.com
771d ago | sciencebusiness.net
767d ago | arstechnica.com
771d ago | newatlas.com
767d ago | techcrunch.com
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772d ago | blogspot.com
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766d ago | cnn.com
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769d ago | techcrunch.com
768d ago | gizmodo.com
766d ago | esham.io
767d ago | searls.com
778d ago | newatlas.com
769d ago | techcrunch.com
776d ago | co.nz
790d ago | arstechnica.com
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768d ago | readwrite.com
777d ago | readwrite.com
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767d ago | techcrunch.com
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791d ago | newatlas.com
771d ago | geoffgraham.me
803d ago | newatlas.com
769d ago | inthemargins.ca
769d ago | techcrunch.com
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771d ago | arstechnica.com
775d ago | platformer.news
770d ago | arstechnica.com
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767d ago | arxiv.org
768d ago | gizmodo.com
775d ago | readwrite.com
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767d ago | ycombinator.com
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791d ago | platformer.news
777d ago | platformer.news