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.
387d ago | theconversation.com
392d ago | livescience.com
392d ago | bigthink.com
398d ago | crimereads.com
387d ago | theconversation.com
398d ago | sciencebusiness.net
396d ago | livescience.com
393d ago | techcrunch.com
392d ago | techcrunch.com
405d ago | platformer.news
392d ago | arstechnica.com
393d ago | nature.com
387d ago | techcrunch.com
394d ago | freedom-to-tinker.com
396d ago | livescience.com
388d ago | gizmodo.com
387d ago | techcrunch.com
421d ago | newatlas.com
391d ago | substack.com
398d ago | bigthink.com
390d ago | techcrunch.com
398d ago | gizmodo.com
397d ago | restofworld.org
392d ago | techcrunch.com
391d ago | techcrunch.com
394d ago | gizmodo.com
397d ago | scientificamerican.com
389d ago | newatlas.com
387d ago | arstechnica.com
392d ago | greenspun.com
392d ago | techcrunch.com
388d ago | github.com
397d ago | gizmodo.com
387d ago | cdevroe.com
393d ago | lmno.lol
395d ago | lmno.lol
397d ago | arstechnica.com
387d ago | techcrunch.com
398d ago | gamedeveloper.com
393d ago | techcrunch.com
387d ago | foojay.io
387d ago | theverge.com
392d ago | livescience.com
392d ago | techcrunch.com
426d ago | platformer.news
391d ago | techcrunch.com
387d ago | techcrunch.com