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.
177d ago | theverge.com
180d ago | ieee.org
178d ago | crazystupidtech.com
176d ago | futurism.com
177d ago | livescience.com
178d ago | tedium.co
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176d ago | scitechdaily.com
182d ago | 3quarksdaily.com
176d ago | thecairoreview.com
179d ago | techcrunch.com
176d ago | theconversation.com
183d ago | arstechnica.com
180d ago | ravsam.in
179d ago | thelogic.co
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176d ago | theatlantic.com
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179d ago | allthingsopen.org
181d ago | gamedeveloper.com
179d ago | substack.com
178d ago | techcrunch.com
176d ago | anthropic.com
187d ago | platformer.news
177d ago | birming.com
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177d ago | fastly.com
177d ago | werd.io
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200d ago | arstechnica.com
176d ago | ycombinator.com
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176d ago | businessinsider.com
176d ago | seths.blog
177d ago | co.uk
179d ago | arstechnica.com
177d ago | theverge.com
180d ago | arstechnica.com
178d ago | ldc.upenn.edu
197d ago | platformer.news
180d ago | techcrunch.com
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177d ago | livescience.com
203d ago | arstechnica.com
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180d ago | tidbits.com
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176d ago | pedronasc.com
179d ago | techcrunch.com
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180d ago | techcrunch.com
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176d ago | techzine.eu