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.
970d ago | jacobin.com
969d ago | gizmodo.com
969d ago | theconversation.com
971d ago | scientificamerican.com
972d ago | techcrunch.com
970d ago | newatlas.com
984d ago | arstechnica.com
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970d ago | scientificamerican.com
971d ago | semafor.com
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969d ago | readwrite.com
984d ago | platformer.news
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986d ago | newatlas.com
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969d ago | wired.com
993d ago | platformer.news
973d ago | newatlas.com
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972d ago | stat.columbia.edu
969d ago | arstechnica.com
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971d ago | livescience.com
969d ago | theverge.com
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969d ago | digitalmeetsculture.net
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987d ago | platformer.news
972d ago | techcrunch.com
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971d ago | thegreatapi.com
969d ago | gizmodo.com
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971d ago | substack.com
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970d ago | blog.google
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972d ago | mit.edu