Besides the Model, There Is Also Your 002

He is just an ordinary programmer who knows Linux, understands C language, and loves to delve into the bottom layer. Until one day, he discovered that the AI he trained is being monitored by mysterious "observers" through GPU utilization, cache timing, sensor noise and network traffic. Quietly draw the entire technical map of DeepFlow. No code stolen, no server hacked. Lin Yuanjin understood for the first time: Really dangerous attacks may not necessarily occur in the code. Thus, a war started from data to model, from network to hardware, and from AI to the real world. They cracked side-channel attacks, penetrated into industrial control systems, and put AI to trial in the physical world at blast furnace sites. They gradually see clearly: the 99.99% Accuracy may be a scam, perfect data is more dangerous than dirty data, and the wrong loss function will make the model go astray. And if a person optimizes the wrong life goal to the extreme, what is the difference between it and an overfitting model? From the Linux kernel to deep learning, from AI security to technology entrepreneurship, from code to life. This is the story of a programmer looking for "reality" and a group of ordinary people looking for their place in the era of artificial intelligence. Models are updated, times change, and rules are rewritten. But what really determines how far a person can go is It's never about how many tools he has mastered, but Can he still make his own choices when the world gives him an input he has never seen before?