AI Memory Needs an Authority Policy, Not Just More Context

When records conflict, the agent needs explicit rules for which one is allowed to steer the answer. Long-running AI systems eventually retrieve conflicting but individually valid memories: an old summary, a newer source file, a remembered preference, an explicit correction, an unresolved question, a draft labeled "final," an archive note that is useful historically but stale operationally. Without an authority policy, the agent falls back to implicit heuristics: recency, semantic similarity...