1、 Large Language Models and Intelligence AnalysisThe views expressed in this article are those of the authors,and do not necessarily represent the views of The Alan Turing Institute or any other organisation.Adam C and Richard Carter1IntroductionLarge Language Models and Intelligence AnalysisThis art

2、icle explores recent progress in large language models(LLMs),their main limitations and security risks,and their potential applications within the intelligence community.While LLMs can now complete many complex text-based tasks rapidly and effectively,they cannot be trusted to always be correct.This

3、 has important implications for national security applications and our ability to provide well considered and trusted insights.This article assesses these opportunities and risks,before providing recommendations on where improvements to LLMs are most needed to make them safe and effective to use wit

4、hin the intelligence community.Assessing LLMs against the three criteria of helpfulness,honesty and harmlessnessprovides a useful framework to illustrate where closer alignment is required between LLMs and their users.LLMs in the wildIn December 2022,OpenAI released ChatGPT,an online application all

5、owing users to conduct conversations with an artificial intelligence-driven computer programme which generates text in response to text-based prompts.Practically overnight,the Internet was flooded with interesting,funny,scary,and perplexing examples of ChatGPT being used for various purposes.Many we

6、re impressed by its ability to synthesise information and produce amusing content,ranging from technical articles summarised in the style of famous sitcoms to new characters and lore inspired by popular media franchises.Some went so far as to declare these models the beginning of Artificial General