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.
741d ago | axbom.com
766d ago | newatlas.com
744d ago | nature.com
743d ago | techcrunch.com
749d ago | mcsweeneys.net
751d ago | skift.com
785d ago | platformer.news
741d ago | noemamag.com
742d ago | arstechnica.com
771d ago | arstechnica.com
742d ago | gizmodo.com
751d ago | nature.com
746d ago | nature.com
750d ago | livescience.com
744d ago | techcrunch.com
742d ago | pineboards.io
749d ago | livescience.com
752d ago | hamatti.org
743d ago | techcrunch.com
743d ago | techcrunch.com
742d ago | ghost.io
742d ago | techcrunch.com
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747d ago | substack.com
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757d ago | platformer.news
742d ago | theverge.com
781d ago | platformer.news
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750d ago | platformer.news
749d ago | openculture.com
742d ago | arstechnica.com
744d ago | ldc.upenn.edu
751d ago | nature.com
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741d ago | simonwillison.net
747d ago | scitechdaily.com
744d ago | techcrunch.com
742d ago | arstechnica.com
751d ago | changelog.com
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770d ago | newatlas.com
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767d ago | newatlas.com
752d ago | platformer.news
752d ago | nature.com
741d ago | bloomberg.com
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742d ago | arstechnica.com
750d ago | platformer.news
743d ago | newatlas.com
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741d ago | theverge.com