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.
154d ago | platformer.news
145d ago | thecooldown.com
145d ago | techcrunch.com
144d ago | platformer.news
145d ago | transistor.fm
144d ago | ky.fyi
174d ago | platformer.news
160d ago | platformer.news
142d ago | techtrenches.dev
142d ago | ycombinator.com
145d ago | livescience.com
144d ago | scientificamerican.com
142d ago | evalcode.com
145d ago | greenspun.com
148d ago | newatlas.com
144d ago | thelogic.co
146d ago | arstechnica.com
144d ago | thelogic.co
144d ago | thecooldown.com
151d ago | platformer.news
169d ago | newatlas.com
160d ago | overcomingbias.com
168d ago | newatlas.com
155d ago | newatlas.com
142d ago | thorstenball.com
143d ago | fstoppers.com
145d ago | arstechnica.com
144d ago | arstechnica.com
155d ago | arstechnica.com
147d ago | platformer.news
146d ago | mit.edu
145d ago | techcrunch.com
144d ago | techcrunch.com
144d ago | thelogic.co
144d ago | techcrunch.com
143d ago | openai.com