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.
287d ago | heatmap.news
284d ago | substack.com
285d ago | techcrunch.com
283d ago | 3quarksdaily.com
285d ago | techcrunch.com
307d ago | platformer.news
285d ago | theverge.com
295d ago | arstechnica.com
287d ago | techcrunch.com
285d ago | mcsweeneys.net
309d ago | arstechnica.com
286d ago | techcrunch.com
289d ago | platformer.news
283d ago | ieee.org
304d ago | newatlas.com
305d ago | newatlas.com
283d ago | utkarshkanwat.com
330d ago | platformer.news
284d ago | ycombinator.com
286d ago | theverge.com
284d ago | forgecode.dev
335d ago | platformer.news
324d ago | platformer.news
288d ago | every.to
286d ago | krebsonsecurity.com
285d ago | scientificamerican.com
287d ago | allthingsopen.org
285d ago | techcrunch.com
285d ago | arstechnica.com
285d ago | theverge.com
310d ago | platformer.news
285d ago | newatlas.com
323d ago | platformer.news
286d ago | techcrunch.com
285d ago | techcrunch.com
285d ago | danq.me
287d ago | 3quarksdaily.com
285d ago | techcrunch.com
283d ago | economist.com
285d ago | openai.com
285d ago | techcrunch.com
285d ago | techcrunch.com
285d ago | arstechnica.com
283d ago | economist.com