Coverage of ChatGPT-style large language models (LLMs) in the media has focused on their eye-catching achievements, including solving advanced mathematical problems and reaching expert proficiency in medical examinations. But the gradual adoption of LLMs in agriculture, an industry which touches every human life, has received much less public scrutiny. In this short perspective, we examine risks and opportunities related to more widespread adoption of language models in food production systems. While LLMs can potentially enhance agricultural efficiency, drive innovation, and inform better policies, challenges like agricultural misinformation, collection of vast amounts of farmer data, and threats to agricultural jobs are important concerns. The rapid evolution of the LLM landscape underscores the need for agricultural policymakers to think carefully about frameworks and guidelines that ensure the responsible use of LLMs in food production before these technologies become so ingrained that policy intervention becomes challenging.

翻译：媒体对类ChatGPT大型语言模型（LLM）的报道聚焦于其引人瞩目的成就，包括解决高阶数学问题及达到医学考试专家水准。然而，这种关乎全人类生计的农业领域对LLM的逐步应用却鲜受公众审视。本文以简短视角探讨粮食生产系统中更广泛应用语言模型的风险与机遇。虽然LLM有潜力提升农业效率、驱动创新并优化政策制定，但农业信息误传、海量农民数据采集及农业岗位受威胁等挑战亦不容忽视。LLM领域的快速演进凸显出，农业政策制定者需在技术根深蒂固导致政策干预困难之前，审慎构建确保LLM在粮食生产中负责任应用的框架与准则。