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.
341d ago | schneier.com
334d ago | techcrunch.com
340d ago | ldc.upenn.edu
336d ago | readwrite.com
333d ago | mashable.com
340d ago | bigthink.com
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364d ago | platformer.news
335d ago | techcrunch.com
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343d ago | every.to
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334d ago | arstechnica.com
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343d ago | livescience.com
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339d ago | 512pixels.net
335d ago | arstechnica.com
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335d ago | hrbrmstr.dev
336d ago | techcrunch.com
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341d ago | geoffgraham.me
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337d ago | nature.com
345d ago | ldc.upenn.edu
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336d ago | readwrite.com
347d ago | bigthink.com
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365d ago | platformer.news
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337d ago | wheresyoured.at
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350d ago | newatlas.com
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342d ago | hrbrmstr.dev