Firehose

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.

This paper introduces a new type of memory system for large language model (LLM) based multi-agent systems that tracks which agents can be trusted and under what conditions. Practitioners might care because it can help improve the reliability and coordination of these systems.