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.
406d ago | eff.org
398d ago | bigthink.com
398d ago | naps.edu.au
399d ago | 3quarksdaily.com
398d ago | techcrunch.com
399d ago | arstechnica.com
398d ago | arstechnica.com
403d ago | platformer.news
404d ago | sciencebusiness.net
398d ago | techcrunch.com
405d ago | theverge.com
399d ago | ali-alkhatib.com
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418d ago | arstechnica.com
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399d ago | readwrite.com
431d ago | arstechnica.com
400d ago | livescience.com
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426d ago | platformer.news
398d ago | arstechnica.com
406d ago | schneier.com
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403d ago | livescience.com
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398d ago | goodereader.com
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399d ago | mozilla.org
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397d ago | bbc.co.uk
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402d ago | inverse.com
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398d ago | penguinrandomhouse.com
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398d ago | anthropic.com
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399d ago | sourcegraph.com
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398d ago | bloomberg.com
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398d ago | figma.com
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405d ago | newatlas.com
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406d ago | macstories.net
397d ago | bbc.co.uk
417d ago | platformer.news
398d ago | theverge.com
398d ago | platformer.news
398d ago | techcrunch.com
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431d ago | platformer.news
433d ago | platformer.news