Semantic Abyss

This is a hard-core urban technology suspense novella. The story is rooted in Hangzhou's science and technology innovation circle. It revolves around GEO generative engine optimization and tells the fierce game between industry, academia, research and industrial reality under the hallucination crisis of AIGC. An AI hallucination accident occurred on the intranet of a biopharmaceutical company, and a large model fabricated high-risk test parameters. Engineer Luo Changcai faces a seventy-two-hour countdown to confront his opponent Zhao Kai's pseudo-GEO low-price plan at the project review meeting. The opponent abandons underlying data management and only relies on prompt words and RAG to quickly deliver products, and also uses laboratory papers as propaganda arguments. The dirty data of enterprises, the profit-seeking demands of capital, and the gap between scientific research and industrial implementation are exerting pressure at all levels. False information is leaked to the outside world, forming a closed loop of pollution in the AI ​​ecosystem that is difficult to eradicate. Judge battles and automatic labeling traps come one after another, and there is no overnight victory. Scientific researcher Su Yan walked out of the laboratory and joined forces with Luo Changcai from conceptual opposition to trying to develop lightweight standardized tools to balance safety and cost. GEO is not a panacea for eradicating hallucinations. The semantic defense line to guard the facts is destined to be long. The biomedicine crisis is over, and the difficulties of AI implementation in smart manufacturing and other industries have just arrived.