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.
81d ago | beehiiv.com
85d ago | citp.princeton.edu
80d ago | techcrunch.com
80d ago | techcrunch.com
84d ago | techcrunch.com
82d ago | cyberneticforests.com
82d ago | scientificamerican.com
81d ago | theregister.com
81d ago | guard.io
87d ago | scientificamerican.com
82d ago | pivot-to-ai.com
80d ago | theconversation.com
80d ago | sciencebusiness.net
81d ago | craigmccaskill.com
84d ago | arstechnica.com
82d ago | bbc.com
87d ago | techzine.eu
83d ago | theverge.com
85d ago | sciencebusiness.net
116d ago | arstechnica.com
81d ago | arstechnica.com
84d ago | platformer.news
83d ago | techcrunch.com
80d ago | techcrunch.com
83d ago | techcrunch.com
84d ago | nature.com
85d ago | flowingdata.com
83d ago | crimereads.com
97d ago | arstechnica.com
80d ago | theverge.com
85d ago | bigthink.com
94d ago | platformer.news
85d ago | techcrunch.com
85d ago | techcrunch.com
80d ago | llama.fund
87d ago | openculture.com
85d ago | techcrunch.com
84d ago | techcrunch.com
101d ago | arstechnica.com
83d ago | techcrunch.com
84d ago | techcrunch.com
81d ago | androidauthority.com
86d ago | platformer.news
87d ago | platformer.news
80d ago | llama.fund
80d ago | arstechnica.com
85d ago | techcrunch.com
100d ago | platformer.news
101d ago | platformer.news