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.
That was the gap. confusable-vision is the tool I built to close it: render every confusable pair, measure the pixels, and put a number on what “visually confusable” actually means.。关于这个话题，safew官方下载提供了深入分析
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2984 is probably the first "modern" ATM, but since IBM spent 4-5 years。同城约会对此有专业解读