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.
312d ago | noemamag.com
317d ago | gizmodo.com
314d ago | techcrunch.com
317d ago | nature.com
312d ago | techcrunch.com
315d ago | theverge.com
324d ago | platformer.news
312d ago | overcomingbias.com
315d ago | gizmodo.com
312d ago | techcrunch.com
329d ago | newatlas.com
314d ago | techcrunch.com
314d ago | every.to
312d ago | softwarecrisis.dev
313d ago | theverge.com
316d ago | heatmap.news
316d ago | heatmap.news
323d ago | arstechnica.com
313d ago | cbc.ca
313d ago | techcrunch.com
314d ago | om.co
330d ago | newatlas.com
312d ago | techcrunch.com
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313d ago | techcrunch.com
313d ago | techcrunch.com
316d ago | gizmodo.com
363d ago | platformer.news
314d ago | arstechnica.com
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315d ago | theverge.com
313d ago | techcrunch.com
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315d ago | gizmodo.com
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313d ago | huggingface.co
321d ago | platformer.news
314d ago | runpulse.com
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313d ago | techcrunch.com
314d ago | platformer.news
313d ago | techcrunch.com
315d ago | platformer.news
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313d ago | ycombinator.com
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314d ago | gizmodo.com
317d ago | gizmodo.com
323d ago | newatlas.com
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313d ago | newatlas.com
313d ago | techcrunch.com