Nitin Jain

“some of the biggest challenges faced by computers and human minds alike: how to manage finite space, finite time, limited attention, unknown unknowns, incomplete information, and an unforeseeable future; how to do so with grace and confidence; and how to do so in a community with others who are all simultaneously trying to do the same.”
― Brian Christian, Algorithms to Live By: The Computer Science of Human Decisions

“There are so few things in our existence we can count on to give us the sense of permanence, of the ground beneath our feet. People fail us. Our bodies fail us. We fail ourselves. He's experienced all of that. But what do you cling to, moment to moment, if memories can simply change. What, then, is real? And if the answer is nothing, where does that leave us?”
― Blake Crouch, Recursion

“If you want to be a good intuitive Bayesian—if you want to naturally make good predictions, without having to think about what kind of prediction rule is appropriate—you need to protect your priors. Counterintuitively, that might mean turning off the news.”
― Brian Christian, Algorithms to Live By: The Computer Science of Human Decisions

“Even the best strategy sometimes yields bad results—which is why computer scientists take care to distinguish between “process” and “outcome.” If you followed the best possible process, then you’ve done all you can, and you shouldn’t blame yourself if things didn’t go your way.”
― Brian Christian, Algorithms to Live By: The Computer Science of Human Decisions