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.
982d ago | niemanlab.org
980d ago | livescience.com
976d ago | gizmodo.com
975d ago | techcrunch.com
976d ago | readwrite.com
975d ago | niemanlab.org
1024d ago | platformer.news
977d ago | mailchi.mp
978d ago | techcrunch.com
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1026d ago | platformer.news
978d ago | arstechnica.com
981d ago | arstechnica.com
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977d ago | newatlas.com
976d ago | nautil.us
982d ago | techcrunch.com
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977d ago | sciencebusiness.net
984d ago | newatlas.com
981d ago | techcrunch.com
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977d ago | every.to
982d ago | techcrunch.com
978d ago | niemanlab.org
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976d ago | theverge.com
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978d ago | diginomica.com
975d ago | niemanlab.org
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975d ago | mozilla.org
978d ago | niemanlab.org
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976d ago | substack.com
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982d ago | stat.columbia.edu
988d ago | arstechnica.com
990d ago | newatlas.com
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975d ago | stratechery.com
975d ago | arstechnica.com
1005d ago | platformer.news
977d ago | techcrunch.com
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976d ago | bigthink.com
978d ago | niemanlab.org
978d ago | arstechnica.com
978d ago | diginomica.com
978d ago | techcrunch.com
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1020d ago | platformer.news
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978d ago | gizmodo.com
1017d ago | platformer.news