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Moats Need Models
Defensibility in the AI era comes from owning the full feedback loop, not just renting frontier model APIs to build wrappers.
What: Sahar Zadeh argues that models, harnesses, workflows, and evaluation loops are now deeply integrated 'co-design surfaces' that create competitive moats through unique data loops.
Why it matters: This challenges the 'wrapper' startup business model, suggesting that long-term value is only captured by companies that control their own proprietary feedback and evaluation mechanisms.
Decoder
- Moat: A competitive advantage that protects a company's market share from competitors.
- Wrapper: A product that simply provides a UI or niche workflow around an existing third-party AI API (like GPT-4).
Original article
Moats Need Models
For most of the last two years, the model was treated as a commodity input. You picked a frontier API, wrapped it in a clever harness, and built your product in the layer above. The model was a...
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