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Brian  Christian
“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

Brian  Christian
“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

Brian  Christian
“Don’t always consider all your options. Don’t necessarily go for the outcome that seems best every time. Make a mess on occasion. Travel light. Let things wait. Trust your instincts and don’t think too long. Relax. Toss a coin. Forgive, but don’t forget. To thine own self be true.”
Brian Christian, Algorithms to Live By: The Computer Science of Human Decisions

“The greater the uncertainty, the bigger the gap between what you can measure and what matters, the more you should watch out for overfitting - that is, the more you should prefer simplicity”
Tom Griffiths, Algorithms to Live By: The Computer Science of Human Decisions

Brian  Christian
“If changing strategies doesn’t help, you can try to change the game. And if that’s not possible, you can at least exercise some control about which games you choose to play. The road to hell is paved with intractable recursions, bad equilibria, and information cascades. Seek out games where honesty is the dominant strategy. Then just be yourself.”
Brian Christian, Algorithms to Live By: The Computer Science of Human Decisions

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