In 2002, a team of researchers from NASA, the F.A.A., and six commercial airlines ran a series of experiments in Oklahoma City, in a decommissioned Boeing 747. They wanted to see how quickly a commercial jet could be secured in case of turbulence. They recruited a group of volunteer passengers, gave them all fake boarding passes and luggage, and had three of them carry around life-size baby dolls. Some of the volunteers were told to stay in their seats and act as if they were sleeping, reading, or working on a laptop. Others were told to stand in the aisles or sit in the lavatories. A crew of experienced flight attendants, drawn from the airlines participating in the study, made their way up and down the plane, serving fake food.
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JetStream’s answer is built around a feature called AI Blueprints—real-time graphs that map everything an AI system is doing inside an organization at any given moment. Each Blueprint traces the full chain of activity: which agents are running, which models they’re using, what data and tools they are interacting with, and who or what is behind each action. Rather than a static snapshot, Blueprints track live behavior, so if an AI system starts acting outside its intended purpose, the platform flags it. They also track cost, showing what each AI workflow is spending and who is responsible for it.
2026-02-27 00:00:00:03014247110http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142471.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142471.html11921 深圳方方乐趣中英文学校 以教育为桥，以文化为基，培育时代新人