Works in ChatGPT, Claude, or Any AI
Add semantic quote search to your AI assistant via MCP. One command setup.
" "And this doesn't just mean taking physical risks. The science shows that other risks — emotional, intellectual, creative, social — work just as well. "To reach flow," explains psychiatrist Ned Hallowell,22 "one must be willing to take risks. The lover must be willing to risk rejection to enter this state. The athlete must be willing to risk physical harm, even loss of life, to enter this state. The artist must be willing to be scorned and despised by critics and the public and still push on. And the average person — you and me — must be willing to fail, look foolish, and fall flat on our faces should we wish to enter this state.
Peter H. Diamandis (born May 20, 1961) is an American engineer, physician, and entrepreneur. He is best known as the founder and chairman of the XPRIZE Foundation, and the cofounder and executive chairman of Singularity University. He is also cofounder and former CEO of the Zero Gravity Corporation, cofounder and vice chairman of Space Adventures Ltd., founder and chairman of the Rocket Racing League, cofounder of the International Space University, cofounder of Planetary Resources, cofounder of Celularity, founder of Students for the Exploration and Development of Space, and vice chairman and cofounder of Human Longevity, Inc.
Biography information from Wikipedia
Add semantic quote search to your AI assistant via MCP. One command setup.
Related quotes. More quotes will automatically load as you scroll down, or you can use the load more buttons.
One tool that harnesses all four of these motivators is called the incentive prize. If you need to accelerate change in specific areas, especially when the goals are clear and measurable, incentive competitions have a biological advantage. Humans are wired to compete. We're wired to hit hard targets. Incentive prizes are a proven way to entice the smartest people in the world, no matter where they live or where they're employed, to work on your particular problem.