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.
969d ago | readwrite.com
975d ago | techcrunch.com
967d ago | spiked-online.com
967d ago | restofworld.org
975d ago | niemanlab.org
973d ago | techcrunch.com
1023d ago | platformer.news
974d ago | bigthink.com
968d ago | schneier.com
970d ago | gizmodo.com
978d ago | arstechnica.com
1025d ago | platformer.news
967d ago | readwrite.com
981d ago | arstechnica.com
969d ago | gizmodo.com
974d ago | gizmodo.com
976d ago | newatlas.com
983d ago | newatlas.com
970d ago | jeremymorgan.com
977d ago | techcrunch.com
969d ago | livescience.com
981d ago | platformer.news
969d ago | newscientist.com
974d ago | techcrunch.com
975d ago | niemanlab.org
974d ago | gizmodo.com
974d ago | pxlnv.com
988d ago | arstechnica.com
974d ago | mit.edu
989d ago | newatlas.com
970d ago | readwrite.com
969d ago | arstechnica.com
968d ago | iwp.pl
969d ago | techcrunch.com
967d ago | techcrunch.com
969d ago | gizmodo.com
1004d ago | platformer.news
977d ago | techcrunch.com
969d ago | gizmodo.com
968d ago | techcrunch.com
1019d ago | platformer.news
968d ago | techcrunch.com
968d ago | newatlas.com
1016d ago | platformer.news
969d ago | techcrunch.com
974d ago | techcrunch.com
969d ago | arstechnica.com