Model Identity Fraud: Distillation or Data Contamination?

Why do AI models sometimes claim to be a different model entirely? We break down the mechanics of knowledge distillation — the post-training technique at the center of Anthropic's accusations against Qwen and Alibaba — and explore whether identity confusion in models points to deliberate copying or something far more mundane. From 28.8 million suspicious API exchanges to a quarter of models failing basic self-identification tests, we separate the real security concerns from the artifacts of contaminated training data. Episode #567832 — open it directly at myweirdprompts.com/567832