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This paper systematically examines how manipulating personality traits in multi-agent LLM teams affects performance across coding, research collaboration, and bargaining tasks, finding that effects depend critically on task structure.
The article argues that increasing the amount of AI-generated code does not necessarily improve team speed and may even reduce efficiency.