Evaluating News Sources and LLMs in Intelligence

This chapter explores the challenges of assessing news sources and the complexities of using large language models (LLMs) in open-source intelligence (OSINT). It discusses the issues of bias, timeliness, and the variability of LLM outputs, emphasizing the need for critical evaluation and tailored solutions for defense applications. The conversation also highlights the ethical considerations and potential manipulation in AI-generated content, urging analysts to balance quick analysis with their own expertise.