

EP99.01: Google Cloud Next, Agent2Agent, MCPs, Agent Development Kit, Is Llama4 a flop? & Grok API
166 snips Apr 11, 2025
Explore the intriguing advancements from Google Cloud Next, including the powerful Gemini 2.5 model and the fresh Agent2Agent communication protocol. Delve into the evolving role of AI agents in enhancing productivity and reshaping business workflows. The podcast also critiques the recently launched Llama 4 models, weighing their effectiveness in the competitive AI landscape. Join in for humorous discussions on the absurdities of tech marketing and the collaborative spirit in AI fashion and development.
AI Snips
Chapters
Transcript
Episode notes
Agent-to-Agent Protocol
- Google's agent-to-agent protocol enables communication between AI agents.
- This allows agents to collaborate and delegate tasks, similar to the Model Context Protocol (MCP) for tools.
Agents vs. MCP
- Imagine Gemini interacting with Salesforce agents to complete tasks.
- This differs from MCP, where agents have memories and knowledge bases, making them more like employees.
Future of Agents
- End-users want AI to simplify tasks, not manage agents.
- The future of agents might be as specialized tools or integrated features, not user-managed entities.