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Stanford Researchers Say AI Agents Don't Need a 'Boss' — and That Could Cut Costs in Half
VentureBeat·Thursday, 18 June 2026
A Stanford research team built a framework called DeLM (Decentralized Language Model) that lets AI agents coordinate directly with each other, without routing everything through a central orchestrator. The team claims this cuts multi-agent task costs by 50% and reduces coordination delays.
Why It Matters
Most enterprise AI systems today rely on a central controller, which adds cost and latency — a cheaper, faster alternative could change how businesses build and deploy AI.
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