AI Builders Must Focus on Data to Stay Ahead
In brief
- A content generation startup called Jasper lost its business when ChatGPT launched.
- Jasper used a foundation model that others could also access.
- This means Jasper did not have a unique advantage.
- Building on top of a shared model is not a good strategy.
- But just having data is not enough.
- The data must help improve the AI system over time.
- The key to success is creating a system where user actions improve the AI in real time.
- This creates a big advantage that gets bigger with scale.
- The future of AI development will depend on this approach.
Terms in this brief
- Foundation Model
- A large language model trained on vast amounts of data that can be fine-tuned for specific tasks. Unlike models built from scratch, foundation models provide a pre-trained base that others can adapt, but they may lack unique advantages without specialized data or methods.
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