Meta AI just introduced Brain2Qwerty v2. It decodes natural sentences from non-invasive brain recordings in real time. The system reads magnetoencephalography (MEG) signals while a person types. It reconstructs what they typed, with no implant and no surgery. This is the follow-up to Brain2Qwerty v1, released in February 2025. Meta is also releasing the full training code for both versions. The pipeline combines a convolutional encoder, a transformer, and a character-level language model.
TL;DR
Brain2Qwerty v2 decodes typed sentences from non-invasive MEG signals, with no implant or surgery.
It reaches 61% average word accuracy (39% WER), up from 8% for prior non-invasive methods.
The best participant hit 78% word accuracy, with over half of sentences at one word error or less.
