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.
1014d ago | readwrite.com
1020d ago | techcrunch.com
1013d ago | spiked-online.com
1013d ago | restofworld.org
1021d ago | niemanlab.org
1019d ago | techcrunch.com
1069d ago | platformer.news
1020d ago | bigthink.com
1014d ago | schneier.com
1015d ago | gizmodo.com
1024d ago | arstechnica.com
1071d ago | platformer.news
1013d ago | readwrite.com
1027d ago | arstechnica.com
1014d ago | gizmodo.com
1020d ago | gizmodo.com
1022d ago | newatlas.com
1029d ago | newatlas.com
1016d ago | jeremymorgan.com
1022d ago | techcrunch.com
1015d ago | livescience.com
1027d ago | platformer.news
1014d ago | newscientist.com
1020d ago | techcrunch.com
1021d ago | niemanlab.org
1020d ago | gizmodo.com
1019d ago | pxlnv.com
1033d ago | arstechnica.com
1019d ago | mit.edu
1035d ago | newatlas.com
1015d ago | readwrite.com
1015d ago | arstechnica.com
1014d ago | iwp.pl
1015d ago | techcrunch.com
1012d ago | techcrunch.com
1015d ago | gizmodo.com
1050d ago | platformer.news
1022d ago | techcrunch.com
1014d ago | gizmodo.com
1014d ago | techcrunch.com
1065d ago | platformer.news
1013d ago | techcrunch.com
1014d ago | newatlas.com
1062d ago | platformer.news
1014d ago | techcrunch.com
1020d ago | techcrunch.com
1015d ago | arstechnica.com