Gabriel Kulp

Frontier model training leaves an unforgeable physical fingerprint: external GPU power draw unmasks training runs with 97% accuracy on unseen model families, even when an operator actively tries to disguise the workload as inference.

Achieving perfect verification without compromising sensitive information could redefine trust in AI systems.