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.
135d ago | wordpress.com
138d ago | platformer.news
142d ago | platformer.news
155d ago | overcomingbias.com
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136d ago | livescience.com
137d ago | schneier.com
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134d ago | techcrunch.com
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170d ago | platformer.news
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156d ago | platformer.news
136d ago | mit.edu
135d ago | techcrunch.com
133d ago | techcrunch.com
137d ago | ieee.org
166d ago | platformer.news
133d ago | technode.global
137d ago | flowingdata.com
136d ago | theverge.com
134d ago | techcrunch.com
136d ago | arstechnica.com
134d ago | getspine.ai
137d ago | eff.org
170d ago | arstechnica.com
156d ago | newatlas.com
135d ago | stackoverflow.blog
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134d ago | askucp.com
141d ago | newatlas.com
134d ago | backnotprop.com
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134d ago | medium.com
133d ago | newatlas.com
133d ago | gitagent.sh
137d ago | flowingdata.com
137d ago | arstechnica.com
136d ago | goodnewsnetwork.org
137d ago | eclecticlight.co
134d ago | anildash.com
136d ago | wordpress.com
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135d ago | canirun.ai
163d ago | platformer.news
135d ago | techcrunch.com
152d ago | platformer.news
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135d ago | techcrunch.com
137d ago | platformer.news
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135d ago | techcrunch.com
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164d ago | arstechnica.com