理性预期假说并不意味着人们能完美预测未来;它意味着人们不会犯系统性错误。
现代世界的巨大挑战是创建既足够强大以有效治理,又对公民需求负责和响应的制度。
未来属于那些在利润与目标之间取得平衡的人。
机器学习的最终目标是让机器能够从经验中学习,并随着时间的推移提高其性能。
What is learned is not movements but meanings.
"The boundary between the quantum and classical worlds is not a sharp line but a blurred transition where the rules of physics shift dramatically."