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Joined 10 months ago
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Cake day: September 15th, 2023

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  • The detriment to society came when the standard for text messaging between all phones was updated to support more features and a major manufacturer intentionally didn’t update to drive sales. The US used to heavily punish that sort of behaviour, but in this case it took EU Chinese action to reign in a US company.

    Samsung, Google, Sony, and a million other manufacturers could have implemented their own messaging system, but instead they chose to facilitate the use of devices however customers want without punishing them based on the personal preferences of their friends. In some circles people may even choose not to communicate with people who don’t have iPhones or exclude them from group chats which is bad in just about any way you spin it.



  • A pretty simple deep learning approach would be to take a large sample and first identify the individual key sounds. From there it can start associating the most common letters with the most common sounds and switch it around until dictionary words start coming out. Once it can identify individual keys you could even brute force it in a pretty reasonable timeframe. The keyboard layout is the least important part because the individual key sound output is going to vary keyboard by keyboard and even potentially user by user. If you used a password without dictionary words and used a different keyboard layout exclusively for entering the password that would likely defeat this sort of attack.