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.
1199d ago | platformer.news
1163d ago | arstechnica.com
1165d ago | techcrunch.com
1163d ago | time.com
1166d ago | nymag.com
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1204d ago | overcomingbias.com
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1166d ago | disassociated.com
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1163d ago | techcrunch.com
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1164d ago | phys.org
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1166d ago | 3quarksdaily.com
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1162d ago | schneier.com
1168d ago | newscientist.com
1164d ago | medicalxpress.com
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1162d ago | gapingvoid.com
1169d ago | trailofbits.com
1169d ago | freedom-to-tinker.com
1190d ago | overcomingbias.com
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1163d ago | ycombinator.com
1169d ago | trailofbits.com
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1164d ago | techcrunch.com
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1164d ago | changelog.com
1162d ago | stability.ai
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1163d ago | reuters.com
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1169d ago | techcrunch.com
1186d ago | newatlas.com
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1164d ago | 3quarksdaily.com