Meta AI announced Brain2Qwerty v2 on June 29, 2026, providing a system for decoding sentences from non-invasive MEG brain signals with an average word accuracy of 61 percent. The system processes brain activity captured through a helmet in real time to reconstruct intended text without any surgical intervention. The pipeline operates in real time and has been supported by the release of full training code. Brain2Qwerty v2 records an average word accuracy of 61 percent, corresponding to a 39 percent word error rate across tested participants. The top individual achieved 78 percent accuracy, and over half the sentences required correction of at most one word. These numbers exceed earlier non-invasive baselines that hovered near 8 percent word accuracy in comparable tasks. The announcement framed the technology as a scalable alternative to methods that require brain implants, targeting scenarios where users retain cognitive function but lose the ability to speak or type physically.