通过这一通分析，我意识到：问题不在于我的方案和 AI 的方案孰对孰错，而在于我试图完全控制 AI，把它变成我的意志的延伸。当我试图用自己脑海里的蓝图完全压倒 AI 的自主权，我就必须向 AI 完整地描述这个蓝图，结果就是描述它的成本比我自己动手实现还要高。毕竟，软件开发的本质其实就是把人心里的蓝图描绘给计算机，要求它按蓝图执行而已。在这种范式下，手工编程和 AI 编程的区别不过是一个用的是编程语言；一个用的是自然语言——而编程语言比自然语言更加简练高效是很正常的事情。
Pettit and his colleague Paul Strefling, sitting in the pilot’s seat between us, are engineers in the business of ride quality. Their job is to program the movable parts on an airplane’s tail and wings—the rudder, elevators, and nearly two dozen ailerons, flaperons, and spoilers—to smooth out its flight automatically when turbulence hits. To get data for the simulator, their team takes full-size Boeing jets on research flights over the Rocky Mountains. They hunt for rough air, then loop through it again and again, like race-car drivers on a test track. They record every flutter and quake using the plane’s sensors, then download them to the simulator’s computers. The flight deck we were in could be swapped with one from a 737 or a 787, and the turbulence reprogrammed for the size and shape of those planes. Then, with the flip of a switch in the control room next door, the cab would start to shake and roll on its piston legs, as if having a seizure.。快连下载安装对此有专业解读
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