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.
1145d ago | phys.org
1134d ago | theguardian.com
1136d ago | techcrunch.com
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1137d ago | 3quarksdaily.com
1134d ago | cchange.xyz
1134d ago | substack.com
1134d ago | interconnected.org
1141d ago | hbr.org
1134d ago | diginomica.com
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1133d ago | fortune.com
1144d ago | arstechnica.com
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1135d ago | 3quarksdaily.com
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1177d ago | platformer.news
1141d ago | scientificamerican.com
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1143d ago | substack.com
1146d ago | stat.columbia.edu
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1145d ago | pxlnv.com
1145d ago | serokell.io
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1146d ago | macstories.net
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1134d ago | theverge.com
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1138d ago | serokell.io
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1156d ago | newatlas.com
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