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.
335d ago | axbom.com
337d ago | techcrunch.com
338d ago | nature.com
360d ago | newatlas.com
379d ago | platformer.news
343d ago | mcsweeneys.net
345d ago | skift.com
334d ago | techcrunch.com
336d ago | gizmodo.com
334d ago | cbsnews.com
336d ago | arstechnica.com
365d ago | arstechnica.com
345d ago | livescience.com
345d ago | nature.com
340d ago | nature.com
343d ago | livescience.com
346d ago | hamatti.org
336d ago | techcrunch.com
344d ago | gizmodo.com
336d ago | techcrunch.com
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341d ago | substack.com
338d ago | techcrunch.com
351d ago | platformer.news
375d ago | platformer.news
345d ago | nature.com
344d ago | openculture.com
335d ago | gizmodo.com
336d ago | arstechnica.com
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337d ago | platformer.news
338d ago | ldc.upenn.edu
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338d ago | techcrunch.com
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342d ago | scitechdaily.com
345d ago | changelog.com
338d ago | techcrunch.com
335d ago | theverge.com
337d ago | techcrunch.com
344d ago | gizmodo.com
346d ago | platformer.news
364d ago | newatlas.com
346d ago | nature.com
338d ago | techcrunch.com
334d ago | decodeinvesting.com
336d ago | arstechnica.com
335d ago | substack.com
344d ago | platformer.news
337d ago | techcrunch.com
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338d ago | techcrunch.com
335d ago | theverge.com