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.
1066d ago | scientificamerican.com
1094d ago | platformer.news
1066d ago | techcrunch.com
1065d ago | techcrunch.com
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1063d ago | readwrite.com
1061d ago | disassociated.com
1066d ago | scientificamerican.com
1099d ago | overcomingbias.com
1064d ago | 3quarksdaily.com
1064d ago | trailofbits.com
1066d ago | schneier.com
1064d ago | newscientist.com
1085d ago | overcomingbias.com
1065d ago | freedom-to-tinker.com
1066d ago | diginomica.com
1068d ago | hbr.org
1099d ago | platformer.news
1064d ago | techcrunch.com
1068d ago | cogdogblog.com
1068d ago | phys.org
1079d ago | newatlas.com
1062d ago | substack.com
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1068d ago | flowingdata.com
1068d ago | phys.org
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1064d ago | samizdata.net
1066d ago | readwrite.com
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1065d ago | readwrite.com
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1068d ago | matt-rickard.com
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1067d ago | github.blog
1066d ago | diginomica.com
1066d ago | techcrunch.com
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1066d ago | disassociated.com
1080d ago | platformer.news
1081d ago | newatlas.com
1068d ago | nextbigfuture.com
1066d ago | techcrunch.com