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.
Today | livescience.com
2d ago | techcrunch.com
3d ago | disassociated.com
3d ago | 3quarksdaily.com
15d ago | newatlas.com
3d ago | flowingdata.com
1d ago | confer.to
6d ago | platformer.news
2d ago | techzine.eu
5d ago | 3quarksdaily.com
1d ago | disassociated.com
13d ago | platformer.news
1d ago | 3quarksdaily.com
1d ago | techcrunch.com
Today | techcrunch.com
6d ago | arstechnica.com
Today | github.com
2d ago | techcrunch.com
6d ago | arstechnica.com
1d ago | techcrunch.com
Today | techcrunch.com
Today | techcrunch.com
4d ago | thorstenball.com
3d ago | flowingdata.com
2d ago | newscientist.com
1d ago | schneier.com
1d ago | arstechnica.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.
1d ago | theverge.com
Today | techcrunch.com
Today | github.com
5d ago | techcrunch.com
4d ago | techcrunch.com
1d ago | techcrunch.com