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.
200d ago | wordpress.com
202d ago | platformer.news
201d ago | techcrunch.com
200d ago | theverge.com
199d ago | 3quarksdaily.com
212d ago | newatlas.com
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202d ago | stackoverflow.blog
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199d ago | theverge.com
201d ago | restofworld.org
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200d ago | techcrunch.com
201d ago | arstechnica.com
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206d ago | newatlas.com
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201d ago | mit.edu
201d ago | the5krunner.com
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209d ago | arstechnica.com
200d ago | mit.edu
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201d ago | techcrunch.com
200d ago | arstechnica.com
202d ago | hbr.org
200d ago | substack.com
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199d ago | matthewrocklin.com
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202d ago | newscientist.com
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200d ago | logrocket.com
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202d ago | inverse.com
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203d ago | techzine.eu
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199d ago | theverge.com
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199d ago | theverge.com