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.
530d ago | newatlas.com
508d ago | nature.com
504d ago | gizmodo.com
500d ago | arstechnica.com
500d ago | platformer.news
505d ago | ldc.upenn.edu
507d ago | gizmodo.com
500d ago | arstechnica.com
510d ago | nature.com
502d ago | techcrunch.com
501d ago | techcrunch.com
499d ago | livescience.com
521d ago | platformer.news
502d ago | techcrunch.com
499d ago | theverge.com
500d ago | livescience.com
501d ago | techcrunch.com
507d ago | platformer.news
502d ago | macworld.com
502d ago | iamexpat.nl
509d ago | ldc.upenn.edu
514d ago | platformer.news
505d ago | gizmodo.com
501d ago | techcrunch.com
499d ago | gizmodo.com
501d ago | birchtree.me
499d ago | praachi.work
516d ago | platformer.news
499d ago | ieee.org
500d ago | ycombinator.com
532d ago | newatlas.com
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500d ago | github.com
504d ago | ieee.org
501d ago | techcrunch.com
499d ago | techcrunch.com
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501d ago | mozilla.org
502d ago | techcrunch.com
514d ago | platformer.news
504d ago | amazon.com
508d ago | newatlas.com
500d ago | techcrunch.com
501d ago | techcrunch.com