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.
807d ago | schneier.com
799d ago | techcrunch.com
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802d ago | readwrite.com
806d ago | ldc.upenn.edu
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807d ago | arstechnica.com
798d ago | theconversation.com
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810d ago | every.to
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814d ago | arstechnica.com
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805d ago | 512pixels.net
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808d ago | geoffgraham.me
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800d ago | arstechnica.com
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804d ago | nature.com
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832d ago | platformer.news
813d ago | bigthink.com
801d ago | ieee.org
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803d ago | readwrite.com
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804d ago | wheresyoured.at
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798d ago | springer.com
799d ago | github.com
804d ago | readwrite.com
809d ago | sciencebusiness.net
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801d ago | techcrunch.com
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808d ago | hrbrmstr.dev
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829d ago | platformer.news