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.
649d ago | disconnect.blog
639d ago | techcrunch.com
639d ago | theverge.com
656d ago | newatlas.com
649d ago | thefp.com
639d ago | crazystupidtech.com
639d ago | sentiers.media
655d ago | newatlas.com
651d ago | theverge.com
640d ago | techcrunch.com
643d ago | eff.org
650d ago | newatlas.com
641d ago | arstechnica.com
651d ago | theverge.com
639d ago | goodnewsnetwork.org
657d ago | platformer.news
641d ago | nautil.us
652d ago | ieee.org
642d ago | gizmodo.com
644d ago | nature.com
640d ago | arstechnica.com
639d ago | substack.com
643d ago | techcrunch.com
641d ago | gizmodo.com
639d ago | substack.com
652d ago | eff.org
642d ago | techcrunch.com
650d ago | newscientist.com
662d ago | platformer.news
642d ago | techcrunch.com
640d ago | techcrunch.com
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641d ago | schneier.com
639d ago | nullprogram.com
642d ago | techcrunch.com
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649d ago | sciencebusiness.net
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665d ago | platformer.news
655d ago | platformer.news
666d ago | arstechnica.com
641d ago | arstechnica.com