SOURCE-LINKED INTELLIGENCE

Position: It is Time to Virtualize Foundation Models with a Self-evolving Operating System Layer

arXiv · AI, language, vision and robotics · article · Sep 16, 2026 · UTC

AI applications have shifted from single, monolithic foundation models (FM) to compound agentic systems. Yet today's stacks remain fragmented: even as protocols (e.g., MCP, A2A) ease tool/agent connectivity, each framework embeds an implicit runtime for state, memory, budgets, and guardrails, making behavior non-portable and governance brittle. It mirrors computing before operating systems, when every program re-implemented basic services. This position paper argues that the field now needs a Foundation Model Operating System (FMOS) -- a system layer that virtualizes FM interactions analogous

Read original source ↗ Open in workspace

recordType

paper

region

Global