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
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496d ago | platformer.news
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489d ago | techcrunch.com
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490d ago | allthingsopen.org
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505d ago | platformer.news
491d ago | livescience.com
490d ago | lucianonooijen.com
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543d ago | overcomingbias.com
490d ago | 404media.co
520d ago | arstechnica.com
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496d ago | piratewires.com
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489d ago | dutchosintguy.com
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489d ago | ai-2027.com
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495d ago | spyglass.org
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489d ago | niila.fi
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490d ago | openai.com
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489d ago | gitmcp.io
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519d ago | platformer.news
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489d ago | kiessling.net
489d ago | techcrunch.com