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.
467d ago | techcrunch.com
466d ago | techcrunch.com
517d ago | platformer.news
467d ago | gizmodo.com
473d ago | ldc.upenn.edu
470d ago | hbr.org
467d ago | livescience.com
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471d ago | every.to
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469d ago | 3quarksdaily.com
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469d ago | schneier.com
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466d ago | justinjackson.ca
471d ago | nature.com
466d ago | businessinsider.com
474d ago | thecooldown.com
466d ago | citizen.org
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466d ago | livescience.com
467d ago | bearblog.dev
496d ago | arstechnica.com
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466d ago | freeplay.ai
472d ago | 3quarksdaily.com
467d ago | theverge.com
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503d ago | platformer.news
467d ago | hallofdreams.org
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469d ago | ieee.org
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471d ago | tidbits.com
467d ago | bloomberg.com
467d ago | legalyze.ai
496d ago | arstechnica.com
468d ago | techcrunch.com
467d ago | theverge.com
467d ago | techcrunch.com
468d ago | techcrunch.com