The Complexity Paradox: Why Reducing Complexity is the Key to Smarter AI The artificial intelligence landscape is experiencing a fundamental shift that challenges our intuitive understanding of how intelligence works. While we might assume that creating more intelligent AI requires building more complex systems, the reality is exactly the opposite: **to increase intelligence in AI, we must reduce complexity through systematic decomposition**. The Multi-Agent Revolution Recent developments from Anthropic's cookbook demonstrate this principle beautifully through their multi-agent pattern. When you ask an AI system to "plan a small casual weekend barbecue for friends," the system doesn't tackle this as a monolithic problem. Instead, it employs a sophisticated orchestration approach that breaks down complexity into manageable pieces. The architecture is elegantly simple: a central orchestration agent serves as the "brain" of the operation, focusing s...
