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
155d ago | overcomingbias.com
138d ago | platformer.news
142d ago | platformer.news
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135d ago | livescience.com
136d ago | schneier.com
134d ago | techcrunch.com
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131d ago | theverge.com
170d ago | platformer.news
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131d ago | karpathy.ai
156d ago | platformer.news
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131d ago | 404media.co
136d ago | ieee.org
136d ago | mit.edu
133d ago | techcrunch.com
131d ago | noahpinion.blog
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131d ago | substack.com
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136d ago | flowingdata.com
130d ago | techcrunch.com
130d ago | bigthink.com
131d ago | petafloptimism.com
131d ago | stratechery.com
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136d ago | arstechnica.com
130d ago | Bracketmadness.ai
131d ago | arstechnica.com
137d ago | eff.org
130d ago | theverge.com
130d ago | wheresyoured.at
130d ago | arxiv.org
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133d ago | newatlas.com
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131d ago | arstechnica.com
137d ago | flowingdata.com
137d ago | eclecticlight.co
137d ago | arstechnica.com
136d ago | goodnewsnetwork.org
132d ago | techcrunch.com
131d ago | thefuriousopposites.com
136d ago | wordpress.com
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152d ago | platformer.news
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131d ago | nvidia.com
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130d ago | arstechnica.com
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