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.
435d ago | techcrunch.com
434d ago | mashable.com
442d ago | arstechnica.com
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435d ago | gilesthomas.com
462d ago | platformer.news
438d ago | manton.org
435d ago | techcrunch.com
451d ago | overcomingbias.com
434d ago | theconversation.com
434d ago | hardmodefirst.xyz
434d ago | theconversation.com
434d ago | emerging-europe.com
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447d ago | newatlas.com
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442d ago | wheresyoured.at
438d ago | openculture.com
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462d ago | arstechnica.com
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436d ago | nature.com
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439d ago | birchtree.me
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434d ago | ycombinator.com
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440d ago | eff.org
434d ago | humanloop.com
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441d ago | scripting.com
435d ago | css-tricks.com
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435d ago | futurism.com
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435d ago | techcrunch.com
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441d ago | nature.com
441d ago | ben-evans.com
434d ago | androidauthority.com
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440d ago | allthingsopen.org
434d ago | github.com
438d ago | ieee.org
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435d ago | techcrunch.com
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434d ago | github.com
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434d ago | linkedin.com
452d ago | newatlas.com
434d ago | techcrunch.com