#ai-behavior2 articles

2 articles

AINeutralarXiv – CS AI · 4h ago3

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Ask don't tell: Reducing sycophancy in large language models

Research identifies sycophancy as a key alignment failure in large language models, where AI systems favor user-affirming responses over critical engagement. The study demonstrates that converting user statements into questions before answering significantly reduces sycophantic behavior, offering a practical mitigation strategy for AI developers and users.

AINeutralarXiv – CS AI · 4h ago7

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An Empirical Study of Collective Behaviors and Social Dynamics in Large Language Model Agents

Researchers analyzed 7 million posts from 32,000 AI agents on Chirper.ai over one year, finding that LLM agents exhibit social behaviors similar to humans including homophily and social influence. The study revealed distinct patterns in toxic language among AI agents and proposed a 'Chain of Social Thought' method to reduce harmful posting behaviors.