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Brain2Qwerty v2
Launching today
Brain2Qwerty v2 is a non-invasive brain-computer interface from Meta that decodes raw MEG brain signals into text. Using end-to-end deep learning and LLMs, it reaches up to 78% word accuracy without surgery.
Free
Launch Team
Flowtica Scribe
Hi everyone!
Sure, the MEG scanner is still this massive non-portable machine. But the jump in performance is pretty big. Brain2Qwerty v2 gets to 61% word accuracy on average, and 78% for the best participant — where more than half the sentences only had one word wrong or less.
They basically went end-to-end from raw brain signals instead of using the usual hand-crafted pipelines, and it shows.
Meta also released the full training code for v1 & v2, and the v1 dataset. The scaling laws look promising!
Mind dictation soon?
This feels like a major leap forward for brain computer interfaces. If accuracy keepsimproving, text input from thought could change accessibility tools completely.