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.
127d ago | ieee.org
125d ago | pluralistic.net
129d ago | livescience.com
126d ago | theverge.com
125d ago | theverge.com
130d ago | niemanlab.org
165d ago | platformer.news
127d ago | arstechnica.com
124d ago | flgov.com
127d ago | nature.com
151d ago | arstechnica.com
138d ago | arstechnica.com
128d ago | sciencebusiness.net
124d ago | experimental-history.com
127d ago | platformer.news
148d ago | platformer.news
136d ago | platformer.news
128d ago | techcrunch.com
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128d ago | stratechery.com
127d ago | techcrunch.com
126d ago | thecooldown.com
127d ago | techcrunch.com
141d ago | platformer.news
127d ago | techcrunch.com
128d ago | sciencebusiness.net
130d ago | platformer.news
128d ago | arstechnica.com
129d ago | nature.com
143d ago | newatlas.com
125d ago | cnn.com
155d ago | platformer.news
125d ago | substack.com
144d ago | newatlas.com
136d ago | newatlas.com
127d ago | techcrunch.com
127d ago | techcrunch.com
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127d ago | theverge.com
129d ago | arstechnica.com
127d ago | arstechnica.com
128d ago | nature.com
126d ago | techcrunch.com
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126d ago | spyglass.org
127d ago | mit.edu
162d ago | platformer.news
127d ago | citp.princeton.edu
126d ago | techcrunch.com
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129d ago | design-milk.com
129d ago | amazon.com