Meta Brain2Qwerty v2: 61% Word Accuracy
What Is Meta Brain2Qwerty v2?
Brain2Qwerty v2 is a non-invasive brain-to-text decoder. It reads raw neural signals and outputs full sentences — no surgery required. Meta announced it on June 29, 2026. It builds on Brain2Qwerty v1, which was published the same day in Nature Neuroscience. (source)
The system uses magnetoencephalography (MEG). MEG measures the magnetic fields made by electrical currents in the brain. It produces clearer signals than electroencephalography (EEG), which reads electrical activity from the scalp. Brain2Qwerty v1 reached a character error rate of 29% with MEG. With EEG, that rate rose to 65%.
We think the clearest way to frame this: MEG is roughly twice as accurate as EEG for this task, based on the published v1 results.
How Was v2 Trained?
Meta trained v2 on about 22,000 sentences. Nine volunteers each wore an MEG device and spent around ten hours typing sentences. The system captured their brain activity the whole time.

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