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.
490d ago | citp.princeton.edu
508d ago | newatlas.com
493d ago | gizmodo.com
496d ago | platformer.news
495d ago | theverge.com
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490d ago | techcrunch.com
492d ago | livescience.com
499d ago | platformer.news
543d ago | overcomingbias.com
490d ago | mashable.com
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490d ago | 404media.co
496d ago | piratewires.com
493d ago | newatlas.com
520d ago | arstechnica.com
517d ago | platformer.news
492d ago | every.to
496d ago | thefp.com
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491d ago | arstechnica.com
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498d ago | platformer.news
491d ago | arstechnica.com
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490d ago | tines.com
491d ago | livescience.com
491d ago | ieee.org
494d ago | livescience.com
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493d ago | ldc.upenn.edu
490d ago | techcrunch.com
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490d ago | substack.com
513d ago | newatlas.com
492d ago | glyph.im
491d ago | techcrunch.com
490d ago | engadget.com
495d ago | spyglass.org
490d ago | arstechnica.com
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491d ago | mit.edu
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490d ago | theverge.com
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490d ago | techcrunch.com
492d ago | techcrunch.com
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491d ago | platformer.news
492d ago | techcrunch.com
519d ago | platformer.news
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490d ago | openai.com
495d ago | gizmodo.com
513d ago | newatlas.com