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.
397d ago | citp.princeton.edu
414d ago | newatlas.com
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402d ago | platformer.news
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395d ago | techcrunch.com
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396d ago | allthingsopen.org
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411d ago | platformer.news
398d ago | livescience.com
396d ago | lucianonooijen.com
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449d ago | overcomingbias.com
397d ago | 404media.co
427d ago | arstechnica.com
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402d ago | piratewires.com
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395d ago | ai-2027.com
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400d ago | ldc.upenn.edu
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395d ago | niila.fi
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397d ago | mit.edu
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396d ago | openai.com
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395d ago | gitmcp.io
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395d ago | kiessling.net
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