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.
24d ago | platformer.news
9d ago | theatlantic.com
28d ago | platformer.news
42d ago | overcomingbias.com
9d ago | ieee.org
5d ago | techcrunch.com
35d ago | platformer.news
6d ago | theverge.com
31d ago | platformer.news
8d ago | tim.blog
8d ago | techcrunch.com
8d ago | theverge.com
42d ago | platformer.news
7d ago | pivot-to-ai.com
6d ago | anildash.com
8d ago | emerging-europe.com
5d ago | lzon.ca
4d ago | bramcohen.com
9d ago | platformer.news
7d ago | techcrunch.com
8d ago | transistor.fm
5d ago | techcrunch.com
4d ago | crackr.dev
8d ago | inverse.com
7d ago | androidauthority.com
7d ago | thecooldown.com
5d ago | livescience.com
7d ago | techcrunch.com
8d ago | arstechnica.com
6d ago | theverge.com
5d ago | substack.com
6d ago | mashable.com
19d ago | newatlas.com
8d ago | css-tricks.com
28d ago | newatlas.com
8d ago | theverge.com
7d ago | variety.com
6d ago | jneen.ca
8d ago | techcrunch.com
8d ago | arstechnica.com
7d ago | arstechnica.com
5d ago | theverge.com
7d ago | techcrunch.com
6d ago | jneen.ca
7d ago | techcrunch.com
7d ago | variety.com
13d ago | newatlas.com
14d ago | newatlas.com
38d ago | platformer.news