The Federal Aviation Administration (FAA) installed its 100th Surface Awareness Initiative (SAI) system, reaching nearly half of the 220 airports targeted for the technology. ^[1] Louis Brusset's arXiv paper (arXiv:2608.28981, submitted 2026-08-29) introduces V2TATC, a joint voice-trajectory embedding framework that maps air traffic control voice instructions and aircraft flight trajectories to nearby points in a single latent space. ^[2] Surface Awareness Initiative uses Automatic Dependent Surveillance-Broadcast (ADS-B) data from aircraft and vehicles to give controllers a real-time picture of activity on an airport's surface, particularly useful when visibility is reduced or objects are outside the tower's direct line of sight. ^[3] Transportation Secretary Sean Duffy announced that the FAA has doubled the pace of Surface Awareness Initiative installations. ^[4] The paper argues that voice communications and trajectory data represent a common physical referent-an aircraft flying through the airspace-and are not independent modalities. ^[5] The paper releases a novel paired voice-trajectory dataset for air traffic control research. ^[6] V2TATC combines a self-supervised trajectory encoder, a frozen large-scale speech encoder, a contrastive joint embedding, and bijective lifting via normalizing flows to enable bidirectional cross-modal retrieval. ^[7]