Core Viewpoint - Deep Blue Automotive is facing issues with its voice assistant feature that can inadvertently turn off headlights during nighttime driving, raising safety concerns among users [1] Group 1: User Experiences - Multiple users of Deep Blue vehicles, including the S05 and S07 models, reported that the voice command to turn off lights resulted in the headlights being switched off, despite the assistant indicating that it should not support this action during driving [1] - A user named Mr. Shi, who purchased the Deep Blue S05 in February 2025, experienced the issue firsthand when he commanded the assistant to "turn off all lights" while driving at night, leading to the headlights being turned off [1] - Another user, known as "Deep Blue Time Machine," confirmed that issuing the command "turn off automatic headlights" also resulted in the headlights being turned off, although they could be turned back on using voice commands [1] Group 2: Company Response - Deep Blue Automotive's customer service acknowledged the issue but stated that no measures had been implemented yet to address the problem, and they would record the feedback for future consideration [1]

Core Viewpoint - Recent incidents involving Lynk & Co vehicles highlight a significant issue with voice command functionality, leading to safety concerns and prompting immediate responses from the company [1] Group 1: Incident Overview - Lynk & Co vehicles experienced a malfunction where voice commands inadvertently turned off headlights while driving, raising safety alarms [1] - Other brands, including Tesla and Xiaomi, were tested and found to have similar limitations, requiring vehicles to be in park mode to turn off headlights [1] - The issue was also reported by Zeekr owners, with some users sharing videos of the malfunction [1] Group 2: Company Response - Mu Jun, Vice President of Lynk & Co Sales, stated that the company has implemented a voice control optimization plan and pushed updates to prevent headlight shutdown while driving [1] - The company expressed gratitude for user feedback and apologized for the inconvenience caused by the incident [1]