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.
61d ago | eff.org
90d ago | platformer.news
74d ago | platformer.news
61d ago | techcrunch.com
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62d ago | flowingdata.com
67d ago | newatlas.com
61d ago | fstoppers.com
91d ago | platformer.news
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61d ago | arstechnica.com
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59d ago | disassociated.com
97d ago | arstechnica.com
109d ago | platformer.news
60d ago | techcrunch.com
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60d ago | om.co
59d ago | ycombinator.com
73d ago | newatlas.com
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61d ago | theconversation.com
63d ago | 99percentinvisible.org
76d ago | platformer.news
60d ago | theguardian.com
60d ago | arstechnica.com
62d ago | mit.edu
83d ago | platformer.news
70d ago | platformer.news
61d ago | techcrunch.com
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60d ago | disassociated.com
60d ago | heidenstedt.org
61d ago | mitchellh.com
60d ago | techcrunch.com
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60d ago | heatmap.news
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84d ago | arstechnica.com
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61d ago | theverge.com
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68d ago | arstechnica.com
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61d ago | arxiv.org
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60d ago | flowingdata.com
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61d ago | fstoppers.com
62d ago | theverge.com
61d ago | arstechnica.com
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76d ago | arstechnica.com
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60d ago | techzine.eu
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60d ago | niemanlab.org
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62d ago | mit.edu