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.
1112d ago | thefp.com
1112d ago | thefp.com
1116d ago | thefp.com
1111d ago | theverge.com
1111d ago | gizmodo.com
1111d ago | arstechnica.com
1116d ago | techcrunch.com
1111d ago | stackoverflow.blog
1112d ago | substack.com
1116d ago | schneier.com
1116d ago | techcrunch.com
1112d ago | substack.com
1112d ago | substack.com
1122d ago | overcomingbias.com
1112d ago | futurism.com
1116d ago | newatlas.com
1112d ago | newest.co
1116d ago | techxplore.com
1113d ago | techcrunch.com
1111d ago | theverge.com
1114d ago | techcrunch.com
1116d ago | techcrunch.com
1117d ago | frontporchrepublic.com
1114d ago | arstechnica.com
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1113d ago | seths.blog
1114d ago | techcrunch.com
1112d ago | 3quarksdaily.com
1111d ago | arstechnica.com
1111d ago | theverge.com
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1116d ago | stat.columbia.edu
1111d ago | me.uk
1116d ago | techcrunch.com
1117d ago | medium.com
1112d ago | simonwillison.net
1111d ago | scientificamerican.com
1111d ago | scientificamerican.com
1114d ago | readwrite.com
1114d ago | readwrite.com
1113d ago | techcrunch.com
1115d ago | techcrunch.com
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1111d ago | theverge.com
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1114d ago | arstechnica.com
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1119d ago | newatlas.com
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1117d ago | dougbelshaw.com
1114d ago | lifeboat.com