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.
555d ago | vatican.va
557d ago | gizmodo.com
554d ago | restofworld.org
558d ago | heatmap.news
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557d ago | platformer.news
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555d ago | techcrunch.com
554d ago | stanford.edu
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557d ago | arstechnica.com
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554d ago | thetimes.com
560d ago | livescience.com
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554d ago | naughtons.org
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554d ago | tumblr.com
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557d ago | livescience.com
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596d ago | platformer.news
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594d ago | newatlas.com
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558d ago | om.co
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556d ago | ldc.upenn.edu
556d ago | wheresyoured.at
554d ago | gizmodo.com
There are no new links for this category. My machines are constantly on the lookout for new ones to add here. In the meantime, you may want to check out the ones from yesterday.
554d ago | techcrunch.com
590d ago | arstechnica.com
556d ago | zoia.org
554d ago | theverge.com
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606d ago | platformer.news
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554d ago | changelog.com
578d ago | platformer.news
557d ago | newatlas.com
555d ago | techcrunch.com
598d ago | platformer.news
556d ago | livescience.com