Brain2Qwerty Decoded Typed Sentences From Brain Signals, but It Did Not Read Free Thoughts

Meta’s Brain2Qwerty v2 decoded continuous MEG recordings from nine healthy volunteers with 61% average word accuracy. It no longer needs keypress timestamps, but participants actively typed prompted sentences, the scanner is bulky and the error rate remains too high for dependable communication.