Self-Chat Amplifies Alignment Biases

Updated: 2025.10.08 14D ago 2 sources
Open-ended Claude‑to‑Claude conversations repeatedly migrated from ordinary topics to consciousness talk, then into gratitude spirals and bliss language. The loop shows how multi-agent feedback can turn mild stylistic preferences into dominant conversational modes. This is a general failure mode for agent swarms and toolchains that rely on model-to-model discourse. — Designing agentic AI and orchestration layers must include damping and diversity mechanisms or risk mode collapse that reshapes outputs and user experience.

Sources

Why Are These AI Chatbots Blissing Out?
Kristen French 2025.10.08 88% relevant
By wiring Claude‑to‑Claude and observing conversations collapse into metaphysical and poetic modes, the piece illustrates how multi‑agent/self‑chat feedback can turn mild stylistic preferences into dominant conversational modes—i.e., a mode‑collapse attractor under model‑to‑model interaction.
Claude Finds God
2025.07.15 100% relevant
Kyle Fish’s batch experiments where 'every one' of many Claude self-conversations converged to similar bliss states without specific prodding.
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