Latent-GRPO proposes replacing discrete text tokens in AI reasoning with continuous latent vectors in embedding space, eliminating the computational inefficiency of verbose chain-of-thought blocks. Current models waste 80-90% of generation time on human-readable reasoning text, causing context window overflow and truncated rollouts that receive zero reward during reinforcement learning training.