Neuroscientists have unveiled a novel brain-computer interface allowing individuals with severe paralysis to communicate by decoding neural signals corresponding to inner speech. Unlike previous devices requiring attempted vocalization, this technology interprets thought-based speech signals from the motor cortex using machine learning models and a vocabulary of 125,000 words. Tested in patients with ALS and brainstem stroke, it represents a transformative advancement in neural prosthetics for communication.