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Tesla FSD Safety Claims Under Fire
28 May
Summary
- Internal staff question Tesla's FSD safety claims.
- Company's safety statistics face scrutiny over methodology.
- FSD struggles with basic maneuvers, former employees report.

Concerns are mounting over Tesla's Full Self-Driving (FSD) software, with internal staff and former employees questioning the automaker's safety claims. Despite CEO Elon Musk's assertions that FSD is significantly safer than human drivers, a Reuters examination reveals issues with the company's statistical methodology. Experts suggest these comparisons are misleading, improperly inflating the perceived safety of the technology.
Former Tesla workers, including data labelers who train the AI, report that FSD continues to struggle with basic maneuvers. Instances of the system failing to brake, avoid obstacles like animals, or properly react to school buses and emergency vehicles have been observed. These shortcomings contrast sharply with public displays and Musk's promises of imminent full autonomy.
The company's safety statistics have been criticized for using flawed comparisons, such as equating airbag deployments with less severe accidents. Rival Waymo employs a more rigorous approach, adjusting for local driving conditions. Tesla's approach, which relies heavily on cameras and AI without extensive local mapping, is also questioned by industry insiders.
Recent demonstrations, like the robotaxi unveiling, involved extensive pre-mapping and manual route annotation by staff, contradicting Musk's claim of a universally applicable system. This labor-intensive preparation is deemed unsustainable for large-scale deployment, raising further doubts about FSD's readiness for widespread autonomous operation.