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.
211d ago | techcrunch.com
210d ago | overcomingbias.com
210d ago | techcrunch.com
211d ago | aftermath.site
239d ago | platformer.news
212d ago | transistor.fm
209d ago | github.com
212d ago | harpers.org
228d ago | platformer.news
211d ago | martinfowler.com
210d ago | pilk.website
225d ago | platformer.news
231d ago | newatlas.com
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211d ago | theconversation.com
213d ago | theatlantic.com
221d ago | platformer.news
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226d ago | newatlas.com
211d ago | aftermath.site
210d ago | juno-labs.com
225d ago | newatlas.com
210d ago | aol.com
224d ago | arstechnica.com
212d ago | bigthink.com
211d ago | greenspun.com
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210d ago | dylancastillo.co
212d ago | 3quarksdaily.com
209d ago | techcrunch.com
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212d ago | newscientist.com
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248d ago | arstechnica.com
211d ago | modular.com
223d ago | newatlas.com
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232d ago | arstechnica.com
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209d ago | doempke.com
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240d ago | arstechnica.com
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210d ago | dylancastillo.co
209d ago | github.com
211d ago | techcrunch.com
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218d ago | platformer.news
218d ago | arstechnica.com