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.
262d ago | citp.princeton.edu
279d ago | newatlas.com
265d ago | gizmodo.com
268d ago | platformer.news
267d ago | theverge.com
261d ago | techcrunch.com
262d ago | techcrunch.com
261d ago | allthingsopen.org
261d ago | theverge.com
276d ago | platformer.news
263d ago | livescience.com
261d ago | lucianonooijen.com
270d ago | platformer.news
315d ago | overcomingbias.com
262d ago | 404media.co
292d ago | arstechnica.com
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268d ago | piratewires.com
288d ago | platformer.news
261d ago | arstechnica.com
264d ago | every.to
261d ago | dutchosintguy.com
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262d ago | tines.com
266d ago | livescience.com
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261d ago | ai-2027.com
263d ago | ieee.org
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262d ago | substack.com
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265d ago | ldc.upenn.edu
264d ago | livescience.com
267d ago | spyglass.org
285d ago | newatlas.com
261d ago | arstechnica.com
262d ago | arstechnica.com
263d ago | techcrunch.com
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261d ago | niila.fi
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262d ago | mit.edu
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263d ago | theverge.com
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262d ago | openai.com
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261d ago | theverge.com
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261d ago | gitmcp.io
267d ago | gizmodo.com
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290d ago | platformer.news
262d ago | platformer.news
263d ago | techcrunch.com
285d ago | newatlas.com
261d ago | arstechnica.com
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261d ago | kiessling.net
261d ago | techcrunch.com