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.
723d ago | elpais.com
728d ago | livescience.com
725d ago | techcrunch.com
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729d ago | schneier.com
729d ago | nature.com
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725d ago | theatlantic.com
726d ago | platformer.news
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728d ago | hyti.org
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730d ago | theverge.com
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733d ago | disassociated.com
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724d ago | abc.net.au
723d ago | macrumors.com
723d ago | hackeducation.com
726d ago | ldc.upenn.edu
727d ago | 3quarksdaily.com
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725d ago | hrbrmstr.dev
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733d ago | greenspun.com
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725d ago | arstechnica.com
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734d ago | platformer.news