Can You Tell When an LLM API Swaps in a Cheaper Model?

The article explores the challenge of detecting when a service provider switches to a less expensive model behind an API without users' knowledge, which is a growing concern in the tech industry. The straightforward approach of grading the output doesn't work, but a more nuanced method involving accumulating evidence over time can spot discrepancies. This issue matters because it raises questions about transparency and trust in AI services, especially as companies seek to cut costs. Understanding these detection methods is crucial for users relying on consistent performance from their AI models.