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.
52d ago | techcrunch.com
52d ago | louwrentius.com
61d ago | platformer.news
52d ago | theverge.com
54d ago | reactormag.com
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54d ago | disassociated.com
53d ago | techcrunch.com
60d ago | platformer.news
52d ago | blog.google
53d ago | thecooldown.com
59d ago | noemamag.com
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53d ago | dylancastillo.co
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54d ago | techcrunch.com
52d ago | arstechnica.com
52d ago | stephenfollows.com
55d ago | scitechdaily.com
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53d ago | thelogic.co
55d ago | fstoppers.com
52d ago | transistor.fm
52d ago | withdocket.com
52d ago | futurism.com
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53d ago | fiddery.com
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52d ago | tidbits.com
55d ago | wordpress.com
52d ago | ourworldindata.org
56d ago | hrbrmstr.dev
52d ago | arstechnica.com
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54d ago | thequantuminsider.com
53d ago | heatmap.news
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58d ago | newatlas.com
52d ago | warnercrocker.com
52d ago | jimgrey.net
62d ago | arstechnica.com
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52d ago | ycombinator.com
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52d ago | darpa.mil
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52d ago | github.com
53d ago | techcrunch.com
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52d ago | github.com