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.
358d ago | newatlas.com
336d ago | nature.com
332d ago | gizmodo.com
328d ago | arstechnica.com
328d ago | platformer.news
333d ago | ldc.upenn.edu
335d ago | gizmodo.com
327d ago | arstechnica.com
338d ago | nature.com
330d ago | techcrunch.com
329d ago | techcrunch.com
327d ago | livescience.com
349d ago | platformer.news
330d ago | techcrunch.com
327d ago | theverge.com
328d ago | livescience.com
329d ago | techcrunch.com
335d ago | platformer.news
330d ago | macworld.com
330d ago | iamexpat.nl
337d ago | ldc.upenn.edu
342d ago | platformer.news
333d ago | gizmodo.com
329d ago | techcrunch.com
327d ago | gizmodo.com
329d ago | birchtree.me
327d ago | praachi.work
344d ago | platformer.news
327d ago | ieee.org
328d ago | ycombinator.com
360d ago | newatlas.com
362d ago | newatlas.com
327d ago | github.com
332d ago | ieee.org
329d ago | techcrunch.com
327d ago | techcrunch.com
330d ago | techcrunch.com
329d ago | mozilla.org
330d ago | techcrunch.com
342d ago | platformer.news
332d ago | amazon.com
336d ago | newatlas.com
328d ago | techcrunch.com
329d ago | techcrunch.com