Author name: Sébastien FAVRE

Sébastien Favre-Lecca is an artist-researcher and founder of NeoMundi. He is developing a real-time measurement layer for AI system behavior, designed to make variation, stability and selected risk signals observable, auditable and actionable. His work focuses on behavioral AI metrology, runtime observability, drift, factual validity, and the articulation between measurement, governance and independent infrastructures.

Distributed autonomous systems can now coordinate trajectories, distribute tasks, and maintain dynamic formations at scale.

AI Observatory

Murmuration

15 May 2026

1. MURMURATION – Research on Collective Runtime Stability Distributed autonomous systems can now coordinate trajectories, distribute tasks, and maintain dynamic formations at scale. But one critical question remains largely unsolved: how can we measure the collective stability of a multi-agent system before a systemic failure in cohesion emerges? Current distributed architectures are designed to optimize: […]