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.
977d ago | techcrunch.com
979d ago | phys.org
975d ago | macwright.com
976d ago | bigthink.com
975d ago | josephnoelwalker.com
977d ago | hbr.org
977d ago | techcrunch.com
977d ago | overcomingbias.com
977d ago | techcrunch.com
975d ago | substack.com
974d ago | freedom-to-tinker.com
979d ago | techcrunch.com
974d ago | ldc.upenn.edu
975d ago | apenwarr.ca
977d ago | phys.org
974d ago | simonwillison.net
974d ago | sebastianraschka.com
976d ago | calnewport.com
978d ago | techcrunch.com
976d ago | simonwillison.net
978d ago | techcrunch.com
974d ago | theconversation.com
975d ago | exercism.org
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976d ago | nextbigfuture.com
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977d ago | arstechnica.com
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978d ago | diginomica.com
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975d ago | theverge.com
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978d ago | hbr.org
976d ago | arstechnica.com
975d ago | arstechnica.com
977d ago | yankodesign.com
977d ago | lifeboat.com
974d ago | ldc.upenn.edu
975d ago | lifearchitect.ai