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Road To KiwiEngine #11: Why I’m Building Sovereign AI Instead of Another AI Wrapper

Drew Marshall 2026年06月06日 23:30 4 次阅读 来源:Dev.to

Most AI products today are wrappers. Different interfaces. Different branding. Different marketing. But underneath many of them is the same pattern: centralized models, rented intelligence, recurring dependence, and cloud-first control. The user doesn’t own the intelligence. They lease access to it. I think that creates a dangerous future. AI Is Quietly Becoming Infrastructure We’re moving toward a world where AI won’t just help write emails or generate images. It will: operate businesses, manage workflows, coordinate logistics, assist with infrastructure, analyze systems, monitor environments, and increasingly act as operational infrastructure. That changes the stakes dramatically. If AI becomes operational infrastructure, then ownership matters. Control matters. Resilience matters. And right now, most users have very little of any of those things. The Problem With Generalized Intelligence One of the biggest issues I see in modern GenAI is overgeneralization. We’re trying to build one giant intelligence that does everything: coding, marketing, legal reasoning, architecture, writing, support, psychology, operations, and research. The results can be impressive. But also unreliable. Hallucinations happen because the systems are stretched across too many domains simultaneously. The broader the intelligence becomes, the harder consistency becomes. That’s why I’ve become increasingly interested in specialized AI systems. AI Should Work Like A Workforce Instead of one giant model pretending to know everything, I believe AI should operate more like a coordinated workforce. Specialized agents. Focused responsibilities. Defined operational boundaries. For example: a development agent, an infrastructure agent, a security agent, a documentation agent, a research agent, a support agent, a creative writing agent. Each one optimized for a specific domain. Each one independently updateable. Independently replaceable. Independently trainable. Not one brain. Many experts. Local-Firs

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