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.
310d ago | nature.com
311d ago | gizmodo.com
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312d ago | techcrunch.com
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317d ago | disconnect.blog
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312d ago | thecooldown.com
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318d ago | 3quarksdaily.com
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338d ago | platformer.news
317d ago | livescience.com
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312d ago | every.to
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319d ago | nature.com
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311d ago | arstechnica.com
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310d ago | techcrunch.com
319d ago | nature.com
310d ago | techcrunch.com
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311d ago | greenspun.com
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309d ago | github.com
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