Tweeted By @zacharylipton

Supervised learning makes only 1 assumption (iid), & despite being fairly reasonable (among assumptions) it's always broken, often w. disastrous consequences. How can we develop causality-based intelligent systems when everything we want from CI requires *tons more assumptions*?

— Zachary Lipton (@zacharylipton) September 16, 2019