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.
435d ago | heatmap.news
432d ago | substack.com
433d ago | techcrunch.com
432d ago | 3quarksdaily.com
433d ago | techcrunch.com
455d ago | platformer.news
433d ago | theverge.com
443d ago | arstechnica.com
435d ago | techcrunch.com
433d ago | mcsweeneys.net
457d ago | arstechnica.com
434d ago | techcrunch.com
437d ago | platformer.news
431d ago | ieee.org
452d ago | newatlas.com
453d ago | newatlas.com
431d ago | utkarshkanwat.com
478d ago | platformer.news
432d ago | ycombinator.com
434d ago | theverge.com
432d ago | forgecode.dev
483d ago | platformer.news
472d ago | platformer.news
436d ago | every.to
434d ago | krebsonsecurity.com
433d ago | scientificamerican.com
436d ago | allthingsopen.org
433d ago | techcrunch.com
433d ago | arstechnica.com
433d ago | theverge.com
458d ago | platformer.news
434d ago | newatlas.com
471d ago | platformer.news
434d ago | techcrunch.com
433d ago | techcrunch.com
433d ago | danq.me
435d ago | 3quarksdaily.com
433d ago | techcrunch.com
431d ago | economist.com
433d ago | openai.com
433d ago | techcrunch.com
433d ago | techcrunch.com
433d ago | arstechnica.com
431d ago | economist.com