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.
156d ago | overcomingbias.com
156d ago | techcrunch.com
185d ago | platformer.news
158d ago | transistor.fm
155d ago | github.com
158d ago | harpers.org
157d ago | martinfowler.com
174d ago | platformer.news
171d ago | platformer.news
177d ago | newatlas.com
156d ago | arstechnica.com
157d ago | platformer.news
154d ago | theverge.com
167d ago | platformer.news
155d ago | github.com
194d ago | platformer.news
172d ago | newatlas.com
171d ago | newatlas.com
170d ago | arstechnica.com
157d ago | greenspun.com
155d ago | opennhp.org
156d ago | newatlas.com
158d ago | bigthink.com
158d ago | 3quarksdaily.com
155d ago | humanrootoftrust.org
155d ago | reading.sh
158d ago | newscientist.com
155d ago | techcrunch.com
158d ago | arstechnica.com
154d ago | mashable.com
178d ago | arstechnica.com
169d ago | newatlas.com
157d ago | arstechnica.com
156d ago | techcrunch.com
155d ago | openslop.ai
156d ago | techcrunch.com
156d ago | techcrunch.com
186d ago | arstechnica.com
155d ago | techcrunch.com
157d ago | techcrunch.com
156d ago | techcrunch.com
155d ago | github.com
155d ago | techcrunch.com
164d ago | platformer.news
164d ago | arstechnica.com