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.
285d ago | techcrunch.com
284d ago | theverge.com
295d ago | theverge.com
294d ago | nature.com
292d ago | eff.org
313d ago | platformer.news
289d ago | livescience.com
285d ago | techcrunch.com
294d ago | nature.com
289d ago | disassociated.com
320d ago | platformer.news
312d ago | newatlas.com
294d ago | bigthink.com
295d ago | tante.cc
297d ago | bigthink.com
294d ago | nature.com
286d ago | techcrunch.com
293d ago | gizmodo.com
286d ago | techcrunch.com
285d ago | abc.net.au
284d ago | gizmodo.com
294d ago | ldc.upenn.edu
284d ago | techcrunch.com
284d ago | mindfw.com
285d ago | techcrunch.com
296d ago | newatlas.com
285d ago | livescience.com
295d ago | gizmodo.com
293d ago | jondron.ca
286d ago | theverge.com
293d ago | sciencebusiness.net
285d ago | techcrunch.com
289d ago | sciencebusiness.net
284d ago | grist.org
284d ago | theverge.com
285d ago | newatlas.com
284d ago | bloomberg.com
285d ago | gizmodo.com
285d ago | techcrunch.com
286d ago | techcrunch.com
285d ago | techcrunch.com
285d ago | techcrunch.com
317d ago | newatlas.com
288d ago | nitinkhanna.com