Tip
A Random Number Can Identify AI Model Identity: Behavioral Fingerprinting Technology Can Detect API Proxy Stations Switching Models
Researcher Tomáš Bruckner from the Prague University of Economics and Business discovered that by having a model repeatedly output random numbers from 1 to 100, a unique "behavioral fingerprint" can be generated. After asking 165 models 30 times each, it was found that GPT-4o prefers 42 and 37, Claude Sonnet 5 outputs 47 frequently, and Qwen3-Max answered 42 all 30 times. This method requires only about 120 requests to identify the model identity, with an error rate of approximately 10.6%, providing a lightweight solution for verifying whether the API has been switched to a different model.
Read the original (opens in a new tab)
News stream data aggregated by AI HOT