Meta 实时解码脑电信号，非侵入式词准确率达 61%

Meta says Brain2Qwerty v2 can decode natural sentences from non-invasive brain recordings in real time, reaching 61% word accuracy.

The system was trained on about 22,000 sentences from 9 volunteers, each recorded for 10 hours with MEG while typing.

Meta compares that with 8% word accuracy from prior non-invasive methods. Its best participant reached 78%, with more than half of sentences decoded with one word error or less.

This is still controlled lab research: small participant pool, MEG hardware, active typing data, and company-reported results. Not a clinical communication device yet.

Meta is releasing the training code, while BCBL is releasing the v1 dataset, pushing brain-to-text research further into open neuroscience infrastructure.

I am so hyped for the future.