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.
733d ago | wordpress.com
730d ago | techcrunch.com
733d ago | techcrunch.com
734d ago | gizmodo.com
735d ago | theverge.com
730d ago | techcrunch.com
730d ago | ru.nl
739d ago | euscreen.eu
737d ago | theverge.com
757d ago | newatlas.com
734d ago | gizmodo.com
739d ago | 3quarksdaily.com
730d ago | theverge.com
730d ago | theverge.com
733d ago | disassociated.com
739d ago | livescience.com
734d ago | arstechnica.com
740d ago | restofworld.org
737d ago | nature.com
738d ago | ldc.upenn.edu
734d ago | disassociated.com
734d ago | techcrunch.com
735d ago | gizmodo.com
734d ago | techcrunch.com
730d ago | github.io
732d ago | arstechnica.com
741d ago | me.uk
731d ago | techcrunch.com
735d ago | livescience.com
734d ago | platformer.news
730d ago | newatlas.com
733d ago | pxlnv.com
734d ago | techcrunch.com
746d ago | newatlas.com
732d ago | gizmodo.com
735d ago | nature.com
733d ago | techcrunch.com
741d ago | theverge.com
739d ago | euscreen.eu
730d ago | economist.com
734d ago | gizmodo.com
740d ago | ieee.org
733d ago | greenspun.com
733d ago | techcrunch.com
734d ago | platformer.news
733d ago | techcrunch.com
732d ago | arstechnica.com