The World of Intelligence Large Language Models (LLMs) cure or curse for OSINT?
Dec 10, 2024
Harry Lawson, a Janes Red Team Analyst and large language model expert, dives into the fascinating world of AI and its role in open-source intelligence. He discusses the balance between cutting-edge technology and traditional analytical methods, highlighting both the benefits and challenges of using LLMs like chatGPT. Lawson examines the ethical implications and the importance of critical analysis in evaluating AI-generated content. He emphasizes the necessity of understanding biases and reliability issues to make informed intelligence decisions.
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LLMs Mimic Human Conversation
- Large language models (LLMs) read human-created text, searching for information to answer queries.
- They mimic human interaction by piecing together information in conversational ways.
LLM Use in Red Teaming
- Harry Lawson used Bing Chat GPT to answer customer questions and compare them to open-source intelligence (OSINT) and established tradecraft.
- He focused on questions about main battle tanks in Ukraine and North Korea's missile inventory to evaluate LLM utility.
Source Quality Concerns
- LLMs heavily rely on news sources, with limited use of government or analytical sources, raising source quality concerns.
- Over-reliance on general news outlets, which lack specialized defense knowledge, may compromise analysis depth.