# Meta's Brain2Qwerty Decodes Typed Sentences From Brain Scans Without Surgery

The updated non-invasive pipeline reaches 61 percent average word accuracy from magnetoencephalography, up from about 8 percent for prior non-surgical methods.

- Published: 2026-07-09T05:49:21.519Z
- Canonical: https://polylog.news/ai/2026-07-09/meta-s-brain2qwerty-decodes-typed-sentences-from-brain-scans
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Meta AI](https://ai.meta.com/blog/brain2qwerty-brain-ai-human-communication/), [Nature Neuroscience](https://www.nature.com/articles/s41593-026-02303-2), [MarkTechPost](https://www.marktechpost.com/2026/06/30/meta-ai-releases-brain2qwerty-v2-a-non-invasive-meg-brain-to-text-pipeline-decoding-typed-sentences-at-61-word-accuracy/)

Meta's Brain2Qwerty work decodes sentences a person types from non-invasive brain recordings, and the updated pipeline reports an average 61 percent word accuracy from magnetoencephalography (MEG, a scan of the brain's magnetic fields), wit…

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