Single-character pairs only. Multi-character confusables (rn vs m, cl vs d) are outside scope. These are a known gap in confusables.txt itself.
「假設你想要生成一份職缺描述。告訴AI：『我希望你一次問我一個問題，直到你收集到足夠資訊來撰寫一份有吸引力的職缺公告，』」懷特說，「透過一次一個問題的方式，它能根據你的回答進行調整。」
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{ 60, 28, 52, 20, 62, 30, 54, 22 },
Initially I aimed to test with at least 10 formulas for each model for SAT/UNSAT, but it turned out to be more expensive than I expected, so I tested ~5 formulas for each case/model. First, I used the openrouter API to automate the process, but I experienced response stops in the middle due to long reasoning process, so I reverted to using the chat interface (I don't if this was a problem from the model provider or if it's an openrouter issue). For this reason I don't have standard outputs for each testing, but I linked to the output for each case I mentioned in results.