LLMs are complacent rather than sycophantic because they lack motives or intent; AI literacy should therefore focus on countering users' confirmation bias.
arXiv preprint arXiv:2502.09192 (2025)
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The paper introduces a unified framework for world models that fully incorporates all cognitive functions from Cognitive Architecture Theory, highlights under-researched areas in motivation and meta-cognition, and proposes Epistemic World Models as a new category for scientific discovery agents.
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Complacent, Not Sycophantic: Reframing Large Language Models and Designing AI Literacy for Complacent Machines
LLMs are complacent rather than sycophantic because they lack motives or intent; AI literacy should therefore focus on countering users' confirmation bias.
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Human Cognition in Machines: A Unified Perspective of World Models
The paper introduces a unified framework for world models that fully incorporates all cognitive functions from Cognitive Architecture Theory, highlights under-researched areas in motivation and meta-cognition, and proposes Epistemic World Models as a new category for scientific discovery agents.