Siying

“Seemingly innocuous language like 'Oh, I'm flexible' or 'What do you want to do tonight?' has a dark computational underbelly that should make you think twice. It has the veneer of kindness about it, but it does two deeply alarming things. First, it passes the cognitive buck: 'Here's a problem, you handle it.' Second, by not stating your preferences, it invites the others to simulate or imagine them. And as we have seen, the simulation of the minds of others is one of the biggest computational challenges a mind (or machine) can ever face.”
― Brian Christian, Algorithms to Live By: The Computer Science of Human Decisions

“Big Data allows us to meaningfully zoom in on small segments of a dataset to gain new insights on who we are.”
― Seth Stephens-Davidowitz, Everybody Lies

“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

“And those who urge entrepreneurs to never give up? Charlatans. Sometimes you have to give up. Sometimes knowing when to give up, when to try something else, is genius. Giving up doesn’t mean stopping. Don’t ever stop. Luck plays a big role. Yes, I’d like to publicly acknowledge the power of luck. Athletes get lucky, poets get lucky, businesses get lucky. Hard work is critical, a good team is essential, brains and determination are invaluable, but luck may decide the outcome. Some people might not call it luck. They might call it Tao, or Logos, or Jñāna, or Dharma. Or Spirit. Or God. Put”
― Phil Knight, Shoe Dog