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.
381d ago | platformer.news
355d ago | livescience.com
355d ago | amerpie.lol
348d ago | theconversation.com
347d ago | techcrunch.com
347d ago | crikey.com.au
350d ago | livescience.com
354d ago | emerging-europe.com
352d ago | gizmodo.com
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355d ago | eff.org
348d ago | theconversation.com
347d ago | newscientist.com
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349d ago | techcrunch.com
360d ago | arstechnica.com
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351d ago | livescience.com
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352d ago | gizmodo.com
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375d ago | newatlas.com
350d ago | substack.com
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347d ago | skift.com
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367d ago | platformer.news
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364d ago | newatlas.com
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349d ago | sixcolors.com
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353d ago | foojay.io
360d ago | arstechnica.com
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346d ago | theverge.com
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