Distributed Artificial Superintelligence: Cisco's Vision for AI Collaboration

The Vision: Distributed Artificial Superintelligence

• 🚀 Distributed Artificial Superintelligence (DASI) aims to achieve breakthroughs not through isolated AI "geniuses" but through collective intelligence and sprawling societies of AI agents.
• 💡 The goal is to build a cognitive fabric enabling multi-agent systems and humans to collaborate and solve humanity's biggest challenges.

Defining Artificial Superintelligence (ASI)

• 🎯 ASI can be defined by economic viability (AI systems performing 100% of human tasks autonomously) or technical viability (AI systems capable of inventing novel discoveries beyond their training data).
• 🧠 Current AI is powerful but has limitations, indicating something is still missing to reach true ASI.

The Pillars of DASI: From Humans to AI

• 🔑 Human intelligence evolved through language, enabling shared intent, shared knowledge (standing on the shoulders of giants), and shared innovation.
• 🧩 DASI seeks to replicate these three pillars for AI agents, moving beyond isolated capabilities to collective intelligence.

Pillar 1: Semantic Protocols for Shared Intent

• 💬 Current AI agents often have connectivity but lack meaningful communication and shared intent.
• 🤝 Semantic protocols are being developed to enable grounding, discovery, conflict resolution, coordination, and negotiation between agents, ensuring a common understanding and goal.

Pillar 2: Cognitive Memory Fabric for Shared Knowledge

• 🧠 This pillar focuses on building a persistent, distributed cognitive memory fabric that goes beyond raw data to higher-order knowledge.
• 🌐 It aims to create a collective knowledge base for multi-agent human societies, incorporating working memory, ontologies, and knowledge graphs with strict privacy controls.

Pillar 3: Cognitive Engines for Shared Innovation

• 💡 Cognitive engines act as accelerators and guardrails for AI agents, enabling them to innovate faster and more safely.
• 🛠️ Accelerators help perform tasks faster, while guardrails ensure agents operate within defined boundaries, preventing disruptions and ensuring compliance.

Cisco's Role and Future Engagement

• 🌐 Cisco's Outshift incubator focuses on distributed systems, aiming to empower AI "packs" rather than individual "lone wolf" systems.
• 🤝 Engagement with DASI is encouraged through reading the white paper "Scaling Superintelligence," contributing to open-source projects like Agency, A2A, and MCP, and bringing forward real-world use cases.