Recent advances in artificial intelligence are pushing the boundaries of how large language models (LLMs) solve complex problems. One exciting development is adaptive parallel reasoning. Instead of tackling a problem step-by-step in a fixed order, models can now decide on-the-fly how to split tasks into smaller parts and work on them simultaneously. This approach promises