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.
1002d ago | theatlantic.com
1025d ago | platformer.news
1005d ago | ia.net
1002d ago | readwrite.com
1027d ago | platformer.news
1006d ago | crookedtimber.org
1006d ago | techcrunch.com
1006d ago | restofworld.org
1002d ago | hollywoodreporter.com
1002d ago | substack.com
1004d ago | readwrite.com
1006d ago | scientificamerican.com
1005d ago | techcrunch.com
1004d ago | gizmodo.com
1005d ago | scientificamerican.com
1005d ago | gizmodo.com
1035d 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.
1006d ago | om.co
1003d ago | techcrunch.com
1004d ago | sciencebusiness.net
1014d ago | newatlas.com
1004d ago | techcrunch.com
1005d ago | techcrunch.com
1005d ago | gizmodo.com
1005d ago | arstechnica.com
1005d ago | platformer.news
1006d ago | mit.edu
1003d ago | readwrite.com
1003d ago | gizmodo.com
1005d ago | tumblr.com
1005d ago | gizmodo.com
1006d ago | scientificamerican.com
1020d ago | platformer.news
1005d ago | techcrunch.com
1002d ago | ycombinator.com
1005d ago | techcrunch.com
1017d ago | platformer.news
1006d ago | techcrunch.com