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.
32d ago | thedailywtf.com
29d ago | theverge.com
37d ago | flowingdata.com
29d ago | techcrunch.com
39d ago | platformer.news
30d ago | theconversation.com
36d ago | gizmodo.com
30d ago | arstechnica.com
31d ago | techcrunch.com
32d ago | thoughtbot.com
29d ago | flowingdata.com
30d ago | incompleteideas.net
30d ago | disassociated.com
32d ago | tokyoweekender.com
31d ago | sciencebusiness.net
29d ago | theverge.com
32d ago | manton.org
33d ago | livescience.com
31d ago | werd.io
30d ago | techcrunch.com
30d ago | platformer.news
36d ago | hrbrmstr.dev
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37d ago | nature.com
30d ago | lukew.com
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31d ago | 3quarksdaily.com
31d ago | modular.com
34d ago | livescience.com
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31d ago | flowingdata.com
33d ago | nature.com
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37d ago | krebsonsecurity.com
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30d ago | mashable.com
29d ago | ycombinator.com
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30d ago | arstechnica.com
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29d ago | theverge.com
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29d ago | techcrunch.com