This paper explores the limitations of current safeguards for Large Language Models (LLMs) in preventing misuse, and proposes a new approach that combines capability release with evidence about downstream use to improve safety. Practitioners caring about the responsible development and deployment of LLMs might care about this research as it addresses a key challenge in ensuring the safe and trustworthy use of these models.
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