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.
508d ago | nature.com
530d ago | newatlas.com
500d ago | arstechnica.com
504d ago | gizmodo.com
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536d ago | arstechnica.com
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505d ago | ldc.upenn.edu
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510d ago | nature.com
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513d ago | livescience.com
512d ago | substack.com
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545d ago | platformer.news
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509d ago | ldc.upenn.edu
501d ago | techcrunch.com
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500d ago | livescience.com
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502d ago | iamexpat.nl
502d ago | macworld.com
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512d ago | scitechdaily.com
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500d ago | ycombinator.com
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535d ago | newatlas.com
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504d ago | ieee.org
500d ago | bloomberg.com
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500d ago | ai-pastor.com
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501d ago | mozilla.org
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508d ago | newatlas.com
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502d ago | techcrunch.com
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