Trump advisers scramble to justify possible US military intervention in Iran

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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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In addition, OpenAI said it is addressing its protocols that allowed for the shooter to open a second account. The company said it had a system in place to detect repeat policy offenders and is committing to "strengthening our detection systems to better prevent attempts to evade our safeguards and prioritize identifying the highest risk offenders."

Here's a simple in-memory writer that collects all written data:

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