DeepSpark's confidence-scheduled verification cuts GPU compute waste

The technique skips verifying low-probability tokens during AI agent inference, saving GPU resources. It addresses the hidden cost of verification in speculative decoding by avoiding expensive passes on tokens that are obviously correct or wrong. This optimization is designed for production AI agent deployments.