One charger. Three devices. Zero bedside clutter.

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Battery life: 7h with ANC (20h with case)

According to our sources, sensitive data is not intended to be used to train the AI models.

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Finally, a note around TTS. On Android TTS is not build into AOSP. [6] Instead you need to have an application that provides TextToSpeechService. On most devices this is usually handled by Google's Speech Recognition & Synthesis app, but that is of course not installed by default on GrapheneOS. There are FOSS apps like Sherpa TTS, but the models they provide only support one language at a time and the app can only load one model at a time. This limitation means Sherpa cannot easily switch between different languages, which is exactly what you need for a translation app. I think espeak NG might work, but I haven't given it a try considering the voice quality.

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