📄 中文摘要
大型语言模型（LLM）在生成文本时可能会创造出虚假的客户信息，这对企业的信任、合规性和潜在收入造成严重影响。许多高管在听到“大型语言模型只是预测下一个词”时，往往会轻视这一技术。然而，理解LLM为何会做出这样的预测，以及何时会出现错误，必须回顾机器翻译（MT）三十年的发展历史。这一领域的研究揭示了LLM在处理语言时的复杂性，强调了对其输出结果进行审慎分析的重要性。
大型语言模型的幻觉：首席执行官忽视的翻译问题
出处: LLM Hallucinations: The Translation Problem CEOs Ignore
发布: 2026年2月17日
📄 English Summary
LLM Hallucinations: The Translation Problem CEOs Ignore
Large Language Models (LLMs) can generate fictitious customer information, which poses significant risks to trust, compliance, and potential revenue for businesses. Many executives dismiss the technology when they hear that 'LLMs merely predict the next word.' However, understanding why LLMs make certain predictions, and when they are incorrect, necessitates a look back at the 30-year history of Machine Translation (MT). Research in this area reveals the complexities involved in language processing by LLMs and underscores the importance of careful analysis of their outputs.