A Tesla Cybertruck crashed in Reno, Nevada, while using Full Self-Driving (FSD) mode, reigniting concerns over the system’s reliability. The vehicle failed to merge as a lane ended, hit a curb, and crashed into a pole. Driver Jonathan Challinger, who was behind the wheel, warned others on X: “Don’t make the same mistake I did. Pay attention.”
A police report cited unknown mechanical issues as the cause. The crash comes just days after Elon Musk praised Tesla’s latest FSD update, claiming “immense improvement.” However, experts remain skeptical. Saber Fallah, a professor of Safe AI and Autonomy, noted that AI-driven systems still struggle with lane endings and sudden road layout changes.
Tesla has long faced scrutiny over its driver assistance technology following multiple crashes, including fatal incidents. Unlike rivals that use redundant safety systems, Tesla relies solely on cameras, making it vulnerable in poor visibility conditions. Researcher Troy Teslike pointed out FSD’s limitations in nighttime detection, data mapping, and Tesla’s vision-only approach.
Musk announced plans to launch a paid robotaxi service in June, starting in Texas and later expanding to other U.S. regions. The success of this initiative is crucial as Tesla faces slowing EV demand and investor pressure to advance AI and robotics.
With the Cybertruck crash going viral, concerns over Tesla’s readiness for full autonomy continue to grow. Experts warn the technology is not yet fit for driverless deployment. Tesla has not commented on the incident.
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