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.
442d ago | arstechnica.com
463d ago | platformer.news
439d ago | gizmodo.com
438d ago | manton.org
451d ago | overcomingbias.com
438d ago | eql.com
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447d ago | newatlas.com
439d ago | techcrunch.com
442d ago | wheresyoured.at
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438d ago | openculture.com
437d ago | time.com
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445d ago | citizenlab.ca
462d ago | arstechnica.com
437d ago | eff.org
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438d ago | theverge.com
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437d ago | localghost.dev
439d ago | birchtree.me
437d ago | techcrunch.com
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443d ago | livescience.com
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441d ago | scripting.com
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440d ago | eff.org
445d ago | arstechnica.com
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460d ago | platformer.news
441d ago | ben-evans.com
441d ago | nature.com
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440d ago | allthingsopen.org
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443d ago | 512pixels.net
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437d ago | arxiv.org
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441d ago | platformer.news
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439d ago | gizmodo.com
438d ago | techcrunch.com
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453d ago | platformer.news
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452d ago | newatlas.com
462d ago | newatlas.com