AI Research
Position: It is Time to Virtualize Foundation Models with a Self-evolving Operating System Layer
Moving from monolithic foundation models to a unified, self-evolving operating system layer for agentic AI.
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, an...
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ArXiv CS.AI
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ArXiv CS.AI
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Transitioning foundation models into a virtualized operating system layer addresses the fragmentation hindering complex agentic workflows. By decoupling intelligence from application code, this abstraction enables standardized resource management and dynamic memory allocation across modular AI systems.
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