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A few years ago, Cornman found a way around the problem. In the U.S., commercial flights served by air-traffic control—some twenty-seven thousand a day—are required to transmit their position, altitude, and velocity. By tracking those transmissions and the planes’ motions over time, a new program that Cornman developed at NCAR can create a moment-by-moment snapshot of turbulence as it’s happening. The F.A.A. is planning to test the program this year. Together with NCAR’s earlier software, Sharman’s forecasting models, and data from radar arrays on the ground, this system could start to give pilots the advance warning they need. “That is the future for me,” Cornman said. “All these operations get integrated in a seamless network. The pilots don’t have to talk to air-traffic control and say, ‘Should I go up or down?’ They just get a display with a color-coded flight track on it. And they see that it looks better a few thousand feet up.”
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Ultimately, the “age verification trap” is what happens when regulators treat age enforcement as mandatory and relegate privacy to an optional status. Until methods like ZKPs or device-based verification becomes the norm, these experts warn, the Digital Age will continue down the rabbit hole of trying to prove a person’s identity while not infringing on privacy rights.
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这起事件首先出问题的当然是车机的智能语音识别系统。视频画面显示，语音识别错误地将“关闭所有阅读灯”识别为“关闭所有灯光”，甚至连前照灯都一并“搞定”了。而在后续车主反复下达开灯指令之后，语音识别系统则理解不了。这给所有智能驾驶的语音识别系统敲响了警钟：改进完善技术细节，做到正确理解驾驶员的语音指令。毕竟驾驶车辆比不得歌词识别与智能家居，攸关生死。