Vertical integration in AI tooling has a short history of working exactly as planned and a long history of being more expensive than anticipated. What Cursor's training run signals is less about the model itself — performance details, deployment architecture, and cost structure remain undisclosed — and more about where Cursor believes the durable competitive advantage sits. Renting frontier weights from Anthropic or OpenAI means margin compression every time those providers raise prices or restrict access, a risk that became concrete when Anthropic's model access restrictions demonstrated how quickly the external dependency can become a liability. Cursor's bet is that owning the weights eliminates that vulnerability.
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