My AI Is Disobedient

Lin Yuanjin has always believed that technical problems are the best problems to solve. If there are bugs in the code, debug them. If the system fails, troubleshoot it. If the model is unstable, retrain it. Until he and several young people with completely different personalities established a humble AI startup company. They originally only wanted to do one simple thing: Turn the advanced technologies in the laboratory into something that ordinary people can use. But things quickly went wrong. A model starts exhibiting unexplained behavior. A piece of data with no source appears in the system inexplicably. A seemingly ordinary failure actually involved a completely different technical chain. The further they dug, the more problems they found. Linux, network, AI model, agent, training system, chip and computing power... Every problem solved seems to open another door. To make matters more troubling, technology isn't necessarily the only thing behind the door. Someone is lying. Someone is hiding the past. Someone seems to have known they would end up here. And Lin Yuanjin gradually discovered: the really difficult thing to solve has never been AI. It's the people behind the code, data and algorithms. Until one day, an answer that shouldn't have appeared appeared in their system. At that moment, he realized for the first time: Maybe from the beginning, they were studying more than just AI.