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.
786d ago | platformer.news
775d ago | schneier.com
773d ago | techcrunch.com
772d ago | aldusnet.eu
772d ago | arstechnica.com
774d ago | bigthink.com
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774d ago | changelog.com
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778d ago | arstechnica.com
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773d ago | theverge.com
802d ago | platformer.news
771d ago | disconnect.blog
775d ago | techcrunch.com
773d ago | pxlnv.com
800d ago | arstechnica.com
770d ago | tomshardware.com
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781d ago | arstechnica.com
774d ago | techcrunch.com
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775d ago | readwrite.com
778d ago | livescience.com
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772d ago | 3quarksdaily.com
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770d ago | theguardian.com
787d ago | newatlas.com
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774d ago | sciencebusiness.net
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771d ago | newatlas.com
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770d ago | agfundernews.com
770d ago | mccue.dev
772d ago | inverse.com
774d ago | softwaremill.com
770d ago | decrypt.co
770d ago | ieee.org
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774d ago | bigthink.com
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772d ago | scitechdaily.com
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787d ago | newatlas.com
772d ago | readwrite.com
781d ago | platformer.news
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775d ago | techcrunch.com