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.
1095d ago | platformer.news
1086d ago | scientificamerican.com
1094d ago | newatlas.com
1086d ago | techcrunch.com
1087d ago | techcrunch.com
1085d ago | arstechnica.com
1088d ago | phys.org
1100d ago | overcomingbias.com
1085d ago | techcrunch.com
1084d ago | techcrunch.com
1087d ago | eff.org
1082d ago | substack.com
1089d ago | 3quarksdaily.com
1086d ago | techcrunch.com
1086d ago | overcomingbias.com
1082d ago | reforge.com
1100d ago | platformer.news
1099d ago | newatlas.com
1086d ago | techcrunch.com
1088d ago | lifeboat.com
1083d ago | lifeboat.com
1086d ago | scientificamerican.com
1094d ago | newatlas.com
1086d ago | scientificamerican.com
1086d ago | hrbrmstr.dev
1087d ago | stat.columbia.edu
1086d ago | schneier.com
1087d ago | techcrunch.com
1082d ago | techcrunch.com
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1082d ago | tomshardware.com
1089d ago | phys.org
1086d ago | techcrunch.com
1101d ago | newatlas.com
1086d ago | scientificamerican.com