The previous posts in this series built detection around TR39’s binary confusable map: a character either is or isn’t confusable. confusable-vision provides the empirical data to move beyond binary.
The only part that was difficult to figure out initially was press emails. I get these from random companies all the time, and not all of them are in my contacts list. For this problem, the solution I came up with was similar to the one I used for junk emails above. I had the AI create a filter to sort any email that includes common press email words and phrases like “announce,” “launch,” and “embargo.” This filter required manual tuning over the course of a couple of weeks as more phrases and words were identified, but it has mostly worked well.,详情可参考Safew下载
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Москалькова заявила о новых условиях Киева для возвращения россиян с территории Украины14:51,这一点在下载安装汽水音乐中也有详细论述
Стало известно об изменении военной обстановки в российском приграничье08:48
他不仅仅是换了个总统,他是换了一套国家管理系统。