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.
374d ago | wheresyoured.at
373d ago | theverge.com
373d ago | newatlas.com
392d ago | platformer.news
378d ago | aldusnet.eu
378d ago | arstechnica.com
380d ago | bigthink.com
381d ago | schneier.com
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372d ago | theconversation.com
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379d ago | pxlnv.com
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406d ago | arstechnica.com
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377d ago | disconnect.blog
373d ago | 404media.co
387d ago | arstechnica.com
415d ago | platformer.news
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378d ago | inverse.com
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376d ago | ieee.org
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372d ago | arstechnica.com
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378d ago | readwrite.com
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387d ago | platformer.news
372d ago | theverge.com