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.
275d ago | platformer.news
286d ago | platformer.news
316d ago | overcomingbias.com
271d ago | pivot-to-ai.com
272d ago | thelogic.co
270d ago | fortune.com
283d ago | arstechnica.com
273d ago | theverge.com
273d ago | inverse.com
281d ago | platformer.news
272d ago | transistor.fm
274d ago | techcrunch.com
273d ago | techcrunch.com
274d ago | techzine.eu
274d ago | nature.com
273d ago | techzine.eu
272d ago | techcrunch.com
271d ago | tidbits.com
273d ago | thelogic.co
296d ago | platformer.news
295d ago | platformer.news
272d ago | thelogic.co
273d ago | techcrunch.com
287d ago | arstechnica.com
288d ago | platformer.news
293d ago | platformer.news
280d ago | newatlas.com
272d ago | platformer.news
272d ago | techcrunch.com
271d ago | livescience.com
302d ago | platformer.news
272d ago | techcrunch.com
300d ago | platformer.news
272d ago | 3quarksdaily.com
272d ago | cryptography.dog
303d ago | platformer.news
274d ago | theverge.com
272d ago | techcrunch.com
271d ago | aiofh.com
270d ago | github.com
272d ago | tidbits.com
271d ago | techcrunch.com
273d ago | anthropic.com
272d ago | techcrunch.com
271d ago | techcrunch.com
274d ago | techcrunch.com
272d ago | techcrunch.com