LLMs lack core beliefs, failing to maintain stable worldviews under pressure

A new research paper explores whether Large Language Models (LLMs) possess core beliefs, akin to foundational truths that shape human worldviews. Using a framework called Adversarial Dialogue Trees across five domains, the study found that most LLMs struggle to maintain a stable worldview under conversational pressure. While newer models show improved stability, they ultimately fail to uphold key commitments, indicating a lack of a crucial component of human-level cognition. AI

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IMPACT Investigates a potential limitation in LLM reasoning and worldview stability, suggesting current models lack a key component of human cognition.

RANK_REASON Academic paper investigating LLM capabilities. [lever_c_demoted from research: ic=1 ai=1.0]

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• LLMs
• Adversarial Dialogue Trees

• paper
• safety