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.
464d ago | techcrunch.com
474d ago | theverge.com
473d ago | nature.com
472d ago | eff.org
468d ago | disassociated.com
473d ago | nature.com
464d ago | techcrunch.com
468d ago | livescience.com
492d ago | platformer.news
473d ago | bigthink.com
462d ago | theconversation.com
491d ago | newatlas.com
499d ago | platformer.news
461d ago | theconversation.com
462d ago | codesolvent.com
476d ago | bigthink.com
474d ago | tante.cc
472d ago | gizmodo.com
465d ago | techcrunch.com
473d ago | nature.com
463d ago | techcrunch.com
473d ago | ldc.upenn.edu
465d ago | techcrunch.com
463d ago | gizmodo.com
464d ago | techcrunch.com
475d ago | newatlas.com
464d ago | livescience.com
474d ago | gizmodo.com
472d ago | jondron.ca
472d ago | sciencebusiness.net
465d ago | theverge.com
463d ago | theverge.com
468d ago | sciencebusiness.net
464d ago | techcrunch.com
464d ago | newatlas.com
462d ago | bloomberg.com
461d ago | bloomberg.com
464d ago | gizmodo.com
464d ago | techcrunch.com
465d ago | techcrunch.com
464d ago | techcrunch.com
464d ago | techcrunch.com
467d ago | nitinkhanna.com
496d ago | newatlas.com