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.
210d ago | overcomingbias.com
210d ago | techcrunch.com
238d ago | platformer.news
212d ago | transistor.fm
209d ago | github.com
211d ago | harpers.org
211d ago | martinfowler.com
227d ago | platformer.news
224d ago | platformer.news
231d ago | newatlas.com
210d ago | arstechnica.com
210d ago | platformer.news
208d ago | theverge.com
220d ago | platformer.news
208d ago | github.com
247d ago | platformer.news
226d ago | newatlas.com
225d ago | newatlas.com
224d ago | arstechnica.com
211d ago | greenspun.com
208d ago | opennhp.org
210d ago | newatlas.com
212d ago | bigthink.com
212d ago | 3quarksdaily.com
209d ago | humanrootoftrust.org
209d ago | reading.sh
212d ago | newscientist.com
209d ago | techcrunch.com
212d ago | arstechnica.com
208d ago | mashable.com
232d ago | arstechnica.com
223d ago | newatlas.com
211d ago | arstechnica.com
210d ago | techcrunch.com
208d ago | openslop.ai
210d ago | techcrunch.com
210d ago | techcrunch.com
240d ago | arstechnica.com
209d ago | techcrunch.com
211d ago | techcrunch.com
210d ago | techcrunch.com
209d ago | github.com
209d ago | techcrunch.com
217d ago | platformer.news
218d ago | arstechnica.com