Many current AI applications rely on a simplistic approach to “context,” often represented as lengthy logs of conversation. While functional, this method has its limits, leading to issues such as:
- No memory control: AI lacks the ability to recall past interactions effectively.
- No role awareness: The AI struggles to understand its position or purpose in conversations.
- No separation of knowledge and action: This causes confusion between what to know and what to do.
“MCP solves this by breaking context into logical, layered structures.”
It emphasizes that it’s not merely about clever prompts; rather, it’s about thinking in systems. This innovative approach enhances how AI understands and engages, paving the way for more intelligent interactions.
Curious to see how these changes shape the future of AI? Explore the full article to dive deeper into this transformative perspective.
Read the full story for more details:
Continue reading