Ac we nought free ne sindon, for-thy-the we never ne mighton from Wulfsfleet yewitan, nefne we thone Hlaford finden and hine ofslean. Se Hlaford hath thisne stede mid searocraftum yebounden, that none ne may hine forletan. We sindon here swa fuglas on nete, swa fixas on were.
This does not mean confusables.txt is wrong. It means confusables.txt is a visual-similarity claim that has never been empirically validated at scale. Many entries map characters to the same abstract target under NFKC decomposition (mathematical bold A to A, for instance), and the mapping is semantically correct even if the glyphs look nothing alike. But if you treat every confusables.txt entry as equally dangerous for UI security, you are generating massive false positive rates for 96.5% of the dataset.
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Фото: Eli Hartman / Reuters
The editor, Artem Kaptur, traded in markets related to YouTube and specifically, MrBeast. Kalshi says his transactions were initially flagged because of his "near-perfect trading success on markets with low odds, which were statistically anomalous." Because trades are public on Kalshi, multiple users also flagged the trades as suspicious. Kalshi learned Kaptur was an employee of MrBeast during its investigation and determined he "likely had access to material non-public information connected to his trading." Perhaps unsurprisingly, trading with insider information violates Kalshi's rules.