LaunchScienceJuly 8, 2026
Meta's Brain2Qwerty v2 decodes typed sentences from brain signals with 61% accuracy

Brain2Qwerty v2 achieves 61% word accuracy decoding natural sentences from non-invasive MEG brain recordings. Meta open-sourced the training code and the v1 dataset; the system was trained on 22,000 sentences from nine participants, each recorded for 10 hours. The best participant reached 78% word accuracy.
3 sources
What Is Meta's Brain-to-Text AI? How Brain2QWERTY Decodes Typed Sentences from Brain Signalsmindstudio.ai
Meta AI Releases Brain2Qwerty v2: A Non-Invasive MEG Brain-to-Text Pipeline Decoding Typed Sentences at 61% Word Accuracymarktechpost.com
Meta's brain-scanning system reads sentences non-invasively, code open sourceai.meta.com
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