Scaling Intelligence Out: Cisco's Vision for the Internet of Cognition, with Vijoy Pandey
Summary
Cisco, through its Outshift division led by SVP and GM Vijoy Pandey, is developing "The Internet of Cognition," a new infrastructure paradigm for agentic AI systems. This initiative addresses the current limitations of isolated AI agents by proposing higher-order protocols that enable agents to share context, understand intent, build trust, and collaborate in shared digital spaces. Unlike the prevailing "scale up" approach that concentrates capabilities into large frontier models, Cisco advocates for "scaling intelligence out" horizontally, fostering a distributed, permissionless, and more resilient network-based architecture for AI. This approach aims to provide enterprises with granular control over agent permissions, clear separation of concerns, system auditability, and controlled external interfaces. Practical applications include Cisco's internal Community AI Platform Engineer (CAIPE) system, which uses 20 agents to automate 40% of cloud computing tasks, and the open-source AGNTCY project, designed to facilitate inter-agent communication and collaboration, demonstrated through a healthcare scenario involving four specialized agents.
Key takeaway
For CTOs and VPs of Engineering evaluating AI strategy, consider shifting from monolithic, centralized AI models to distributed, agentic architectures. This "Internet of Cognition" approach offers enhanced control, auditability, and resilience, potentially reducing operational load and improving response times, as demonstrated by Cisco's 40% automation in cloud tasks. Prioritize systems that enable secure, collaborative agent interactions over isolated, all-encompassing models to mitigate concentration risks and foster a more robust AI ecosystem.
Key insights
The "Internet of Cognition" proposes distributed protocols for AI agents to collaborate, share context, and build trust.
Principles
- Scale intelligence out, not up.
- Prioritize distributed, permissionless AI architectures.
- Enable granular control and auditability for agent systems.
Method
Develop higher-order protocols and infrastructure for AI agents to share context, understand intent, build reputation, and establish trust, facilitating problem-solving in shared digital spaces.
In practice
- Automate cloud operations with multi-agent systems.
- Utilize open-source frameworks for agent collaboration.
- Implement role-based permissions for AI agents.
Topics
- Internet of Cognition
- Agentic AI Systems
- Distributed AI
- AI Collaboration
- AI Infrastructure
Best for: CTO, VP of Engineering/Data, Executive, AI Architect, AI Engineer, Director of AI/ML
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by The Cognitive Revolution.