Stop Treating AI Memory Like a Search Problem

# AI Memory Systems Need More Than Just Storage and Search Current AI systems treat memory like a filing cabinet—they store information and pull it back out when needed—but this approach creates unreliable results because it doesn't account for how memories should actually work. Real memory requires understanding context, recognizing what's important, and knowing how pieces of information connect to each other, not just finding matching documents. Building AI that remembers reliably means rethinking how we design these systems from the ground up.