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.
22d ago | ieee.org
20d ago | theverge.com
23d ago | livescience.com
24d ago | niemanlab.org
22d ago | arstechnica.com
60d ago | platformer.news
32d ago | arstechnica.com
22d ago | nature.com
22d ago | sciencebusiness.net
45d ago | arstechnica.com
22d ago | techcrunch.com
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21d ago | techcrunch.com
22d ago | stratechery.com
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20d ago | thecooldown.com
36d ago | platformer.news
22d ago | arstechnica.com
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22d ago | sciencebusiness.net
21d ago | techcrunch.com
24d ago | nature.com
37d ago | newatlas.com
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30d ago | newatlas.com
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49d ago | platformer.news
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22d ago | arstechnica.com
23d ago | nature.com
21d ago | theverge.com
21d ago | techcrunch.com
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57d ago | platformer.news
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21d ago | mit.edu
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23d ago | design-milk.com
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23d ago | amazon.com