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.
45d ago | overcomingbias.com
45d ago | techcrunch.com
73d ago | platformer.news
47d ago | transistor.fm
44d ago | github.com
46d ago | harpers.org
46d ago | martinfowler.com
62d ago | platformer.news
59d ago | platformer.news
66d ago | newatlas.com
45d ago | arstechnica.com
45d ago | platformer.news
42d ago | theverge.com
55d ago | platformer.news
43d ago | github.com
82d ago | platformer.news
61d ago | newatlas.com
60d ago | newatlas.com
59d ago | arstechnica.com
46d ago | greenspun.com
43d ago | opennhp.org
45d ago | newatlas.com
47d ago | bigthink.com
47d ago | 3quarksdaily.com
44d ago | humanrootoftrust.org
43d ago | reading.sh
47d ago | newscientist.com
43d ago | techcrunch.com
47d ago | arstechnica.com
43d ago | mashable.com
67d ago | arstechnica.com
58d ago | newatlas.com
45d ago | arstechnica.com
45d ago | techcrunch.com
43d ago | openslop.ai
45d ago | techcrunch.com
45d ago | techcrunch.com
75d ago | arstechnica.com
44d ago | techcrunch.com
45d ago | techcrunch.com
44d ago | techcrunch.com
43d ago | github.com
44d ago | techcrunch.com
52d ago | platformer.news
53d ago | arstechnica.com