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Home ›› Artificial Intelligence ›› AI Infrastructure

AI Infrastructure

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AI Agent Runtimes in Dedicated Lanes: Lessons from China’s EV Roads

  • AI Automation, AI Ecosystems, AI Infrastructure, Artificial Intelligence, Emerging Technology, LLM

Discover how the future of AI runs on purpose-built infrastructure.

Article by UX Magazine Staff
IDEAS IN BRIEF
AI Agent Runtimes in Dedicated Lanes: Lessons from China’s EV Roads
  • The article states that AI’s progress depends less on creating larger models and more on developing specialized “lanes” (agent runtimes) where AI can run safely and efficiently.
  • It argues that, like China’s EV-only highways, these runtimes are designed for smooth flow, constant energy (through memory and context), and safe, reliable operation, much like EV-only highways in China.
  • The piece concludes that building this kind of infrastructure takes effort and oversight, but it enables AI systems to work together, grow, and improve sustainably.
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4 min read

What to Know About Model Context Protocol (MCP)

  • Agent Orchestration, AI Agents, AI Infrastructure, Conversational AI, Emerging Technology, Enterprise AI, Model Context Protocol (MCP)

AI agents are getting smarter — but can they truly work together? Meet MCP, the open-source protocol quietly reshaping how machines connect, collaborate, and get things done.

Article by Josh Tyson
IDEAS IN BRIEF
What to Know About Model Context Protocol (MCP)
  • The article introduces MCP — a new way to help AI agents easily work with business tools.
  • It shows how MCP could change how we use software by letting AI control all our tools through one interface.
  • The article sees MCP as a big step toward building smarter, more flexible AI systems in the future.
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5 min read
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