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.
329d ago | techcrunch.com
328d ago | techcrunch.com
379d ago | platformer.news
329d ago | gizmodo.com
336d ago | ldc.upenn.edu
333d ago | hbr.org
330d ago | livescience.com
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333d ago | every.to
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331d ago | 3quarksdaily.com
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332d ago | schneier.com
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333d ago | nature.com
328d ago | businessinsider.com
336d ago | thecooldown.com
329d ago | citizen.org
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328d ago | livescience.com
329d ago | bearblog.dev
359d ago | arstechnica.com
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331d ago | 404media.co
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329d ago | freeplay.ai
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365d ago | platformer.news
329d ago | hallofdreams.org
368d ago | newatlas.com
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331d ago | ieee.org
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333d ago | tidbits.com
329d ago | bloomberg.com
329d ago | legalyze.ai
359d ago | arstechnica.com
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329d ago | theverge.com
330d ago | techcrunch.com
331d ago | techcrunch.com