It Passed Every Test. That's Why It Can't Ship Yet.
My order-reading LLM passed the 29-question exam. Zero fatal errors. The model is chosen . So — ship it? No. And the reason is the most important thing in this series. The exam has holes. I am the holes. The questions, the answer key, the product catalog — I made all of it. Which means "passed 29 questions" translates precisely to: "It made no mistakes in the 29 situations I was able to imagine."…
After passing the rigorous 29-question test with a perfect score—zero fatal errors—the model still cannot be shipped. The source reveals the exam's shortcomings, as it was created by the same individual who constructed it. The questions, answer key, and product catalog all originated from the creator, meaning the 29 questions only account for situations the source could envision.
The unimagined scenarios, such as customers abbreviating terms and product catalogs containing errors, were not on the exam. Thus, production is filled with unexpected sentences the source wasn't prepared for. The program includes a crucial check, GUARDING against uncertainty and handing off to a human when unsure.
Even after passing the exam, the model's first weeks in production involve a watch period, with humans reviewing every result. Only after confirming the "needs confirmation" queue do the models receive permission to proceed. The exam also highlights a pressing issue: there are cases where the model's usual approach fails, and creating an automatic solution isn't feasible. In such instances, the responsibility falls on humans to handle the problematic cases.
The scoreboard of the exam so far shows one genuine mistake from the model and five errors from its author—three in the answer key and two in the grader. However, it's important to note that the grader was later fixed, changing the scoreboard. The ultimate goal is to identify what is impossible in principle, as the exam's primary purpose is to ensure safe production.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
