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.
1001d ago | verfassungsblog.de
1011d ago | scientificamerican.com
1007d ago | scientificamerican.com
1099d ago | overcomingbias.com
1010d ago | hbr.org
1003d ago | scientificamerican.com
1036d ago | arstechnica.com
1003d ago | phys.org
1002d ago | niemanlab.org
1013d ago | getabstract.com
1052d ago | platformer.news
1003d ago | newscientist.com
1002d ago | phys.org
1004d ago | readwrite.com
1085d ago | overcomingbias.com
999d ago | theverge.com
1002d ago | phys.org
1007d ago | indybay.org
1009d ago | phys.org
1002d ago | phys.org
1000d ago | jondron.ca
1029d ago | platformer.news
999d ago | substack.com
998d ago | oneusefulthing.org
1012d ago | scientificamerican.com
1000d ago | techcrunch.com
1008d ago | ubuntu.com
998d ago | stat.columbia.edu
1007d ago | phys.org
1001d ago | techcrunch.com
1008d ago | phys.org
1002d ago | techcrunch.com
1011d ago | readwrite.com
999d ago | globalnerdy.com
1003d ago | techcrunch.com
1004d ago | readwrite.com
1012d ago | werd.io
1012d ago | 3quarksdaily.com
998d ago | github.com
1002d ago | techcrunch.com
999d ago | techcrunch.com
999d ago | wccftech.com
1001d ago | readwrite.com
1002d ago | stat.columbia.edu
1008d ago | newatlas.com
999d ago | theatlantic.com