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.
106d ago | livescience.com
102d ago | thecooldown.com
105d ago | 3quarksdaily.com
109d ago | disassociated.com
108d ago | techcrunch.com
103d ago | livescience.com
103d ago | newatlas.com
108d ago | flowingdata.com
121d ago | newatlas.com
109d ago | 3quarksdaily.com
103d ago | gnanaguru.com
103d ago | theverge.com
102d ago | danielmiessler.com
112d ago | platformer.news
108d ago | techzine.eu
104d ago | techcrunch.com
107d ago | disassociated.com
107d ago | 3quarksdaily.com
119d ago | platformer.news
106d ago | techcrunch.com
107d ago | techcrunch.com
102d ago | npr.org
103d ago | ycombinator.com
103d ago | drjoshcsimmons.com
108d ago | techcrunch.com
106d ago | techcrunch.com
105d ago | ieee.org
107d ago | techcrunch.com
109d ago | flowingdata.com
106d ago | techcrunch.com
104d ago | hrbrmstr.dev
106d ago | arstechnica.com
103d ago | completeaitraining.com
106d ago | schneier.com
108d ago | newscientist.com
104d ago | theverge.com
There are no new links for this category. My machines are constantly on the lookout for new ones to add here. In the meantime, you may want to check out the ones from yesterday.
103d ago | kapwing.com
106d ago | techcrunch.com
102d ago | theregister.com
103d ago | github.io
110d ago | techcrunch.com
107d ago | techcrunch.com