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.
358d ago | theverge.com
358d ago | techcrunch.com
359d ago | techcrunch.com
362d ago | theverge.com
389d ago | arstechnica.com
360d ago | om.co
356d ago | theverge.com
401d ago | platformer.news
356d ago | theverge.com
356d ago | arnon.dk
376d ago | arstechnica.com
358d ago | techcrunch.com
360d ago | techcrunch.com
383d ago | platformer.news
359d ago | techcrunch.com
358d ago | scripting.com
356d ago | thomasorus.com
358d ago | arstechnica.com
356d ago | worksonmymachine.ai
360d ago | arstechnica.com
357d ago | ldc.upenn.edu
404d ago | platformer.news
360d ago | 3quarksdaily.com
359d ago | techcrunch.com
359d ago | hrbrmstr.dev
356d ago | oneusefulthing.org
356d ago | yosefk.com
357d ago | substack.com
361d ago | arstechnica.com
380d ago | newatlas.com
359d ago | techcrunch.com
359d ago | onefoottsunami.com
358d ago | overengineer.dev
359d ago | theverge.com
359d ago | ieee.org
359d ago | theverge.com
359d ago | techcrunch.com
358d ago | techcrunch.com
359d ago | arstechnica.com
358d ago | arstechnica.com