Brian Christian Quote
Information, defined intuitively and informally, might be something like 'uncertainty's antidote.' This turns out also to be the formal definition- the amount of information comes from the amount by which something reduces uncertainty...The higher the [information] entropy, the more information there is. It turns out to be a value capable of measuring a startling array of things- from the flip of a coin to a telephone call, to a Joyce novel, to a first date, to last words, to a Turing test...Entropy suggests that we gain the most insight on a question when we take it to the friend, colleague, or mentor of whose reaction and response we're least certain. And it suggests, perhaps, reversing the equation, that if we want to gain the most insight into a person, we should ask the question of qhose answer we're least certain... Pleasantries are low entropy, biased so far that they stop being an earnest inquiry and become ritual. Ritual has its virtues, of course, and I don't quibble with them in the slightest. But if we really want to start fathoming someone, we need to get them speaking in sentences we can't finish.
Information, defined intuitively and informally, might be something like 'uncertainty's antidote.' This turns out also to be the formal definition- the amount of information comes from the amount by which something reduces uncertainty...The higher the [information] entropy, the more information there is. It turns out to be a value capable of measuring a startling array of things- from the flip of a coin to a telephone call, to a Joyce novel, to a first date, to last words, to a Turing test...Entropy suggests that we gain the most insight on a question when we take it to the friend, colleague, or mentor of whose reaction and response we're least certain. And it suggests, perhaps, reversing the equation, that if we want to gain the most insight into a person, we should ask the question of qhose answer we're least certain... Pleasantries are low entropy, biased so far that they stop being an earnest inquiry and become ritual. Ritual has its virtues, of course, and I don't quibble with them in the slightest. But if we really want to start fathoming someone, we need to get them speaking in sentences we can't finish.
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About Brian Christian
Christian competed as a "confederate" in the 2009 Loebner Prize competition, attempting to seem "more human" than the humans taking the test, and succeeded. The book he wrote about the experience, The Most Human Human, became a Wall Street Journal best-seller, a New York Times editors' choice, and a New Yorker favorite book of the year. He was interviewed by Jon Stewart on The Daily Show on March 8, 2011.
In 2016, Christian collaborated with cognitive scientist Tom Griffiths on the book Algorithms to Live By, which became the #1 bestselling nonfiction book on Audible and was named an Amazon best science book of the year and an MIT Technology Review best book of the year.
His awards and honors include publication in The Best American Science and Nature Writing and fellowships at the Bread Loaf Writers' Conference, Yaddo, and MacDowell. In 2016 Christian was named a Laureate of the San Francisco Public Library.
In 2020, Christian published his third book of nonfiction, The Alignment Problem, which looks at the rise of the ethics and safety movement in machine learning through historical research and the stories of approximately 100 researchers. The Alignment Problem was named a finalist for the Los Angeles Times Book Prize for best science and technology book of the year. The New York Times in 2024 named The Alignment Problem one of the "5 Best Books About Artificial Intelligence," writing: "If you're going to read one book on artificial intelligence, this is the one." For his work on The Alignment Problem, Christian received the Eric and Wendy Schmidt Award for Excellence in Science Communication, given by The National Academies of Sciences, Engineering, and Medicine in partnership with Schmidt Futures.