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.
525d ago | readwrite.com
531d ago | newatlas.com
520d ago | ieee.org
517d ago | wheresyoured.at
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550d ago | platformer.news
520d ago | inverse.com
537d ago | arstechnica.com
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516d ago | nature.com
517d ago | techcrunch.com
525d ago | noemamag.com
516d ago | livescience.com
519d ago | sciencebusiness.net
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517d ago | co.uk
525d ago | bigthink.com
516d ago | rollingstone.com
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516d ago | bloomberg.com
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519d ago | nature.com
516d ago | bloomberg.com
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517d ago | changelog.com
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552d ago | newatlas.com
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517d ago | theverge.com
525d ago | sciencebusiness.net
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516d ago | skypilot.co