When Waiting Becomes the Problem You are sitting in a restaurant, watching the kitchen through a pass-through window. The head chef — meticulous, authoritative — is assembling a dish. But the rule of this kitchen is strange: the chef cannot pick up the next ingredient until the previous one has been tasted, judged, and placed. Each move waits on the one before. The kitchen is gorgeous, the chef is talented, and the food will be exquisite — but you are going to be here a very long time. This is, more or less, the situation with modern AI language models. Programs like the ones that power ChatGPT and similar tools generate text the way that imaginary chef works: one word at a time, each new token produced only after the previous one has been fully committed. The model examines everything it has written so far, makes its best prediction for what comes next, outputs a single word or fragment, and then repeats the cycle — again and again, thousands of times, for a single response.…