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.
1166d ago | scientificamerican.com
1163d ago | schneier.com
1154d ago | substack.com
1159d ago | scientificamerican.com
1155d ago | scientificamerican.com
1184d ago | arstechnica.com
1248d ago | overcomingbias.com
1158d ago | hbr.org
1167d ago | readwrite.com
1162d ago | getabstract.com
1158d ago | techcrunch.com
1156d ago | time.com
1201d ago | platformer.news
1167d ago | phys.org
1158d ago | techcrunch.com
1234d ago | overcomingbias.com
1166d ago | publishingperspectives.com
1158d ago | phys.org
1164d ago | phys.org
1156d ago | indybay.org
1160d ago | scientificamerican.com
1178d ago | platformer.news
1157d ago | ubuntu.com
1156d ago | phys.org
1164d ago | openculture.com
1157d ago | phys.org
1154d ago | github.com
1160d ago | readwrite.com
1154d ago | techcrunch.com
1158d ago | techcrunch.com
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1167d ago | macstories.net
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1161d ago | werd.io
1154d ago | firstpost.com
1161d ago | 3quarksdaily.com
1166d ago | 3quarksdaily.com
1156d ago | arstechnica.com
1155d ago | techcrunch.com
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1165d ago | scientificamerican.com
1157d ago | newatlas.com