UChicago Existential Risks Laboratory

Researchers develop GPU side-channel method to verify LLM training FLOPs

Researchers are developing a method to verify the training FLOPs of large language models using side-channel GPU readings, aiming to provide a quantifiable way to assess frontier AI models. This approach builds upon exi…