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.
649d ago | nature.com
671d ago | newatlas.com
644d ago | uncannymagazine.com
655d ago | mcsweeneys.net
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645d ago | gizmodo.com
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646d ago | ldc.upenn.edu
677d ago | arstechnica.com
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651d ago | nature.com
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654d ago | livescience.com
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652d ago | substack.com
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643d ago | ycombinator.com
643d ago | macworld.com
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655d ago | openculture.com
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650d ago | ldc.upenn.edu
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655d ago | platformer.news
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643d ago | lever.co
644d ago | amazon.com
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