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.
236d ago | theverge.com
239d ago | ieee.org
236d ago | crazystupidtech.com
235d ago | futurism.com
236d ago | livescience.com
236d ago | tedium.co
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234d ago | scitechdaily.com
241d ago | 3quarksdaily.com
234d ago | thecairoreview.com
237d ago | techcrunch.com
234d ago | theconversation.com
242d ago | arstechnica.com
239d ago | ravsam.in
238d ago | thelogic.co
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235d ago | theatlantic.com
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238d ago | allthingsopen.org
239d ago | gamedeveloper.com
238d ago | substack.com
236d ago | techcrunch.com
234d ago | anthropic.com
245d ago | platformer.news
236d ago | birming.com
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235d ago | fastly.com
236d ago | werd.io
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258d ago | arstechnica.com
235d ago | ycombinator.com
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234d ago | businessinsider.com
235d ago | seths.blog
236d ago | co.uk
237d ago | arstechnica.com
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239d ago | arstechnica.com
237d ago | ldc.upenn.edu
255d ago | platformer.news
239d ago | techcrunch.com
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235d ago | livescience.com
261d ago | arstechnica.com
235d ago | ycombinator.com
238d ago | tidbits.com
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234d ago | pedronasc.com
237d ago | techcrunch.com
238d ago | techcrunch.com
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235d ago | techzine.eu