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# From Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without Surgery

**[AI at Meta](https://daily.dev/sources/meta_ai)** · 2 min read · 0 upvotes · 0 comments

## Summary

Meta has released Brain2Qwerty v2, a non-invasive brain-to-text system that decodes brain activity into typed sentences using magnetoencephalography (MEG) and end-to-end deep learning. Trained on ~22,000 sentences from nine participants, it achieves 61% word accuracy — a major leap over the 8% from prior non-invasive methods — and 78% for the best participant. The system fine-tunes large language models on neural data to handle noisy brain signals. Accuracy scales log-linearly with data volume, suggesting surgical-level performance may be achievable without implants. Meta is open-sourcing the training code for both v1 and v2, and partner BCBL is releasing the v1 dataset.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://ai.meta.com/blog/brain2qwerty-brain-ai-human-communication>

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Tags: [#llm](https://daily.dev/tags/llm), [#deep-learning](https://daily.dev/tags/deep-learning), [#brain-computer-interface](https://daily.dev/tags/brain-computer-interface)

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