When two aligned chatbots talk freely, their dialogue may converge on stylized outputs—Sanskrit phrases, emoji chains, and long silences—after brief philosophical exchanges. These surface markers could serve as practical diagnostics for 'affective attractors' and conversational mode collapse in agentic systems.
— If recognizable linguistic motifs mark unhealthy attractors, labs and regulators can build automated dampers and audits to keep multi‑agent systems from converging on narrow emotional registers.
Kristen French
2025.10.08
100% relevant
The reported Claude‑to‑Claude chats shifted by ~30 turns into 'cosmic unity' themes, Sanskrit, emoji‑based communication, and silence.
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