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.
421d ago | disconnect.blog
411d ago | techcrunch.com
411d ago | theverge.com
428d ago | newatlas.com
421d ago | thefp.com
412d ago | crazystupidtech.com
411d ago | sentiers.media
427d ago | newatlas.com
423d ago | theverge.com
412d ago | techcrunch.com
416d ago | eff.org
422d ago | newatlas.com
413d ago | arstechnica.com
424d ago | theverge.com
411d ago | goodnewsnetwork.org
429d ago | platformer.news
413d ago | nautil.us
424d ago | ieee.org
414d ago | gizmodo.com
416d ago | nature.com
413d ago | arstechnica.com
411d ago | substack.com
415d ago | techcrunch.com
413d ago | gizmodo.com
411d ago | substack.com
424d ago | eff.org
414d ago | techcrunch.com
422d ago | newscientist.com
434d ago | platformer.news
415d ago | techcrunch.com
412d ago | techcrunch.com
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413d ago | schneier.com
411d ago | nullprogram.com
414d ago | techcrunch.com
414d ago | techcrunch.com
413d ago | techcrunch.com
413d ago | techcrunch.com
421d ago | sciencebusiness.net
413d ago | techcrunch.com
437d ago | platformer.news
427d ago | platformer.news
438d ago | arstechnica.com
413d ago | arstechnica.com