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The keyboard is moving inside the head

Yethikrishna ROriginal on Threads

the keyboard is moving inside the head: meta’s brain2qwerty v2 types from meg signals with 61 percent average word accuracy and no surgery, while its tribe model predicts brain responses to movies and podcasts at 70x the old resolution. a single bci decoded speech and movement for the first time in september.

thought is becoming a data format.

Context

Meta's Brain2Qwerty v2 decodes natural sentences from non-invasive magnetoencephalography recordings. Its page says it was trained on 10 times more data per participant, and the paper (arXiv, Jun 29, 2026) says it decodes sentence production from real-time MEG.

Meta's TRIBE v2, introduced Mar 26, 2026, is a model of how the brain responds to video, audio and language, with a stated 70 times resolution increase over similar models.

How it compares

TRIBE v2's 70 times resolution increase and Brain2Qwerty v2's non-invasive MEG approach match Meta's pages. The 61 percent average word accuracy and a single BCI decoding speech and movement in September are not seen in the sources read, so unsupported here, not refuted. 'Movies and podcasts' as stimuli is also not seen in the sources read, so unsupported here, not refuted.

Related work

Watch next

  • Read the paper for the word accuracy and participant count.

Sources

  1. Brain2Qwerty v2, Meta project pagefacebookresearch.github.io
  2. arXiv, Jun 29, 2026arxiv.org
  3. Meta AI, TRIBE v2, Mar 26, 2026ai.meta.com

Provenance

The note above is reproduced unedited from the original post, first published on Threads on 2 October 2026 at 10:13 IST. Sources are the papers and datasets the note draws on.

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