You know Lorem Ipsum. The placeholder text designers have been slapping into mockups since the 1960s. Turns out, it might be one of the most effective tools for making language models better at math. A paper dropped last week — "Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration" (Huang et al., May 2026) — and the core finding is wild: prepending random Lorem Ipsum text before math problems during reinforcement learning training produces models that solve problems they otherwise never could. Let me walk through why this works, because it is genuinely clever once you see the mechanism. The Problem: When Every Answer Is Wrong, Nobody Learns Modern LLM training uses reinforcement learning after the initial pretraining phase. One popular method is GRPO (Group Relative Policy Optimization), where you sample multiple candidate answers for a question, then reward the good ones and penalize the bad ones. Here is the catch. For hard questions, all sampled answers might be wrong.…