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.
1050d ago | ia.net
1070d ago | platformer.news
1072d ago | platformer.news
1050d ago | idratherbewriting.com
1052d ago | crookedtimber.org
1052d ago | programmablemutter.com
1051d ago | techcrunch.com
1052d ago | restofworld.org
1052d ago | thejaymo.net
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1050d ago | phys.org
1054d ago | 3quarksdaily.com
1050d ago | reuters.com
1052d ago | scientificamerican.com
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1052d ago | substack.com
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1051d ago | techcrunch.com
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1050d ago | phys.org
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1080d ago | arstechnica.com
1052d ago | substack.com
1053d ago | mit.edu
1050d ago | nature.com
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1051d ago | tigerlab.ai
1051d ago | om.co
1051d ago | github.com
1052d ago | readwrite.com
1051d ago | ftc.gov
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1050d ago | arstechnica.com
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1051d ago | arstechnica.com
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1050d ago | tumblr.com
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1055d ago | homeworlddesign.com
1057d ago | sciencebusiness.net
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1063d ago | platformer.news
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1051d ago | stability.ai
1051d ago | techcrunch.com
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1050d ago | techcrunch.com