The path to artificial superintelligence
This article explores the shift from vertical scaling of AI models to a horizontal architecture using multi-agent systems. It proposes an 'Internet of Agents' to allow specialized AI systems to coordinate and solve complex problems together.
Why it matters
Moving toward distributed artificial superintelligence could revolutionize fields like drug discovery and healthcare by enabling autonomous, cross-domain collaboration.
Next-generation multi-agent systems need a horizontal architecture that allows them to share intent, context, and reasoning to enable wide-scale problem solving no single agent is trained for.
Imagine a healthcare system made up of multiple AI agents: one that manages symptom assessment, another scheduling, a third insurance, and a fourth pharmacy.
Each is an expert in its domain. But they all have their own distinct knowledge and objectives. Today they can exchange data, but they are not yet able to actually coordinate patient care without a human making the decisions.
“The intelligence is already there. What is missing is the connective tissue that turns four strangers into one team,” explains Vijoy Pandey, senior vice president and general manager of Outshift by Cisco.
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