The Teapot test is a brilliant illustration of how AI can get trapped in statistical bias rather than practical reasoning. The model overweights common associations like 'ruler = drawing' instead of solving the task efficiently — something a child does instinctively. And you're absolutely right: as AI-generated content floods the web, the risk of training data becoming an echo chamber grows. Without strict curation, we may end up teaching models to optimize for patterns instead of understanding.
The Teapot test is a brilliant illustration of how AI can get trapped in statistical bias rather than practical reasoning. The model overweights common associations like 'ruler = drawing' instead of solving the task efficiently — something a child does instinctively. And you're absolutely right: as AI-generated content floods the web, the risk of training data becoming an echo chamber grows. Without strict curation, we may end up teaching models to optimize for patterns instead of understanding.