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.
352d ago | ieee.org
352d ago | schneier.com
350d ago | werd.io
367d ago | platformer.news
348d ago | wired.com
348d ago | stratechery.com
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350d ago | livescience.com
351d ago | techcrunch.com
350d ago | techcrunch.com
351d ago | gizmodo.com
348d ago | theverge.com
351d ago | ldc.upenn.edu
348d ago | datagubbe.se
351d ago | techcrunch.com
350d ago | disassociated.com
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348d ago | newscientist.com
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349d ago | pivot-to-ai.com
350d ago | techcrunch.com
348d ago | arstechnica.com
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348d ago | theverge.com
351d ago | platformer.news
349d ago | greenspun.com
355d ago | arstechnica.com
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350d ago | pivot-to-ai.com
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368d ago | platformer.news
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348d ago | substack.com
360d ago | platformer.news
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348d ago | richarddas.com
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349d ago | komiko.app
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351d ago | arstechnica.com
351d ago | techcrunch.com
348d ago | arstechnica.com
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348d ago | arstechnica.com
351d ago | arstechnica.com
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348d ago | theverge.com
352d ago | arstechnica.com
352d ago | theverge.com
349d ago | ldc.upenn.edu
348d ago | techcrunch.com
348d ago | theverge.com
351d ago | techcrunch.com