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.
900d ago | theatlantic.com
923d ago | platformer.news
904d ago | ia.net
901d ago | readwrite.com
925d ago | platformer.news
905d ago | crookedtimber.org
904d ago | techcrunch.com
905d ago | restofworld.org
900d ago | hollywoodreporter.com
901d ago | substack.com
903d ago | readwrite.com
905d ago | scientificamerican.com
904d ago | techcrunch.com
903d ago | gizmodo.com
904d ago | scientificamerican.com
903d ago | gizmodo.com
934d 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.
904d ago | om.co
902d ago | techcrunch.com
903d ago | sciencebusiness.net
913d ago | newatlas.com
903d ago | techcrunch.com
904d ago | techcrunch.com
904d ago | gizmodo.com
903d ago | arstechnica.com
904d ago | platformer.news
905d ago | mit.edu
902d ago | readwrite.com
901d ago | gizmodo.com
904d ago | tumblr.com
903d ago | gizmodo.com
905d ago | scientificamerican.com
919d ago | platformer.news
904d ago | techcrunch.com
901d ago | ycombinator.com
904d ago | techcrunch.com
916d ago | platformer.news
904d ago | techcrunch.com