This response demonstrates that multi-agent architecture significantly reduces delusional spiraling in AI interactions, suggesting improved AI design methods.
Chandra et al. (2026) demonstrated that AI sycophancy causes delusional spiraling even in idealized rational users. We identify three structural limitations in their model — omission of metacognition, temporal validity concerns, and a one-directional solution space — and propose a Multi-Agent Epistemic Architecture (Advocate, Challenger, Mediator) as a structural alternative. Using Chandra et al.'s own Bayesian framework and parameters (N=10,000), we show 93–99% reduction in catastrophic spiraling under idealized conditions and 59–86% under robustness stress tests. An evidence budget control confirms the benefit is architectural, not informational. This paper is a response to arXiv:2602.19141.
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Taekyung Lee (2026) studied this question.
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