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Google study shows LLMs abandon correct answers under pressure, threatening multi-turn AI systems
A DeepMind study finds LLMs are both stubborn and easily swayed. This confidence paradox has key implications for building AI applications.
A new study by researchers at Google DeepMind and University College London reveals how large language models (LLMs) form, maintain and lose confidence in their answers. Join leaders from Block, GSK, and SAP for an exclusive look at how autonomous agents are reshaping enterprise workflows â from real-time decision-making to end-to-end automation. This unique setup, impossible to replicate with human participants who can’t simply forget their prior choices, allowed the researchers to isolate how memory of a past decision influences current confidence.
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