Does the paradigm shift brought by Large Language Models (LLMs) hold the promise of revolutionizing financial analysis? Our article tackles this question by exploring fraud detection in cryptocurrency exchanges, with a focus on FTX. We study the abilities of generative artificial intelligence tools like ChatGPT to serve as early-warning systems of fraud and identify red flags in the particular and difficult case where no financial information is available. We recognize several challenges to provide insights beyond human knowledge. To achieve a higher degree of scrutiny, we highlight the role of sequential interactions between the AI Chatbot and the researcher as well as the inclusion of external contents, a technique known as Retrieval Augmented Generation (RAG). Therefore, this article serves as a cautionary tale on the necessary conditions to achieve augmented intelligence.

中文翻译：

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ChatGPT：煤矿里的金丝雀还是回音室里的鹦鹉？使用 LLM：FTX 案例


大型语言模型 （LLMs有望彻底改变金融分析？我们的文章通过探讨加密货币交易所中的欺诈检测来解决这个问题，重点是 FTX。我们研究了 ChatGPT 等生成式人工智能工具作为欺诈早期预警系统的能力，并在没有财务信息的特定和困难情况下识别危险信号。我们认识到，在提供超越人类知识的见解方面存在一些挑战。为了实现更高程度的审查，我们强调了 AI 聊天机器人和研究人员之间顺序交互的作用，以及包含外部内容，这种技术称为检索增强生成 （RAG）。因此，本文对实现增强智能的必要条件提出了一个警示。