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The Tower of Babel Problem: The Search for a Universal Agent Communication Protocol // Jasleen Singh

Posted Nov 25, 2025 | Views 62
# Agents in Production
# Prosus Group
# Tower of Babel
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Jasleen Singh
Staff Solutions Architect, Generative AI @ Google

I am a Generative AI Solutions Architect at Google with over 10 years of industry experience designing and implementing cutting-edge AI solutions. My academic background includes an MBA from Stanford and a Master's in Data Science from UT Austin, providing me with a unique blend of deep technical expertise and strategic business acumen.

As a thought leader and inventor in the field, I hold 25 patents in artificial intelligence. I am also an active speaker at major industry conferences, where I enjoy sharing insights on advanced topics ranging from Large Language Models and RAG systems to the future of agentic architectures.

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SUMMARY

We are in a golden age of AI agent development, with frameworks and models proliferating at an incredible pace. Yet, this Cambrian explosion has created a new ""Tower of Babel."" Our agents, each brilliant in their own silo, cannot effectively collaborate. They speak different languages, follow different customs, and lack a shared understanding of how to work together. This fragmentation is the single greatest barrier to building truly powerful, multi-agent systems that can tackle complex, real-world problems. This talk will explore the critical need for a universal standard for agent-to-agent communication. We will survey the current landscape of emerging protocols, including Anthropic's Model Context Protocol (MCP), the Linux Foundation's Agent Communication Protocol (ACP), and Google's Agent-to-Agent (A2A) protocol. By comparing their philosophies, technical approaches, and trade-offs, we will build a clear picture of the challenges involved. Join this session to understand the fundamental principles of agent interoperability and to explore a conceptual framework for a future standard that could finally allow our agents to speak a common language.

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