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.
336d ago | nature.com
358d ago | newatlas.com
331d ago | gizmodo.com
327d ago | arstechnica.com
327d ago | arstechnica.com
328d ago | platformer.news
335d ago | gizmodo.com
332d ago | ldc.upenn.edu
328d ago | techcrunch.com
325d ago | 3quarksdaily.com
327d ago | livescience.com
349d ago | platformer.news
329d ago | techcrunch.com
326d ago | theverge.com
333d ago | gizmodo.com
328d ago | techcrunch.com
330d ago | iamexpat.nl
335d ago | platformer.news
326d ago | theconversation.com
337d ago | ldc.upenn.edu
342d ago | platformer.news
327d ago | livescience.com
328d ago | techcrunch.com
329d ago | macworld.com
326d ago | ieee.org
329d ago | birchtree.me
327d ago | gizmodo.com
362d ago | newatlas.com
344d ago | platformer.news
331d ago | ieee.org
328d ago | techcrunch.com
327d ago | techcrunch.com
328d ago | mozilla.org
329d ago | techcrunch.com
342d ago | platformer.news
335d ago | newatlas.com
331d ago | amazon.com
327d ago | techcrunch.com
329d ago | techcrunch.com