If 'All Models Are Wrong,' Why Do We Give Them So Much Power? (opens in new tab)

Because even imperfect models that have true predictive ability are extremely useful. Hence the ".... and some models are less wrong than others".

Brian Christian here. Honored to be the guest on the Ezra Klein show this week and by Ezra’s kind words: "Brian Christian’s recent book The Alignment Problem is the best book on the key technical and moral questions of A.I. that I’ve read."

Happy to take any questions, etc., if folks are interested! AMA.

Because some are useful...