Basement AI lab captures 10,000 hours of brain scans to train thought-to-text AI models — largest known neural dataset collected from thousands of humans over six months

A San Francisco start-up has spent the past six months running one of the more unusual data projects in AI. Conduit says it has collected roughly 10,000 hours of non-invasive neural data from “thousands of unique individuals” in a basement studio, forming what it believes is the largest neuro-language dataset assembled to date. The company is using the recordings to train thought-to-text AI models that attempt to decode semantic content from brain activity in the seconds before a participant speaks…