Meta announces an upgraded neural-decoding system called Brain2Qwerty v2. The system is designed to translate brain activity into written text using AI, aiming to enable a form of assistive communication. According to reporting, Meta’s approach uses non-invasive brain recordings rather than surgical implants. The company presents the work as an improvement over prior efforts, focusing on better accuracy for converting neural signals into language-like output. In both outlets’ coverage, Brain2Qwerty v2 is described as using brain signals captured externally and then processed by AI to produce sentences or text sequences. While the articles emphasize the technical capability—converting brain activity into text without surgery—they do not provide additional clinical details such as specific study results, participant numbers, or timelines for real-world deployment. Overall, the reporting aligns on the core claims: Meta demonstrates a new AI-based decoding system that reads brain activity into text while avoiding implants, positioning it as a step toward practical neural interfaces for communication.