Tesla AI trainers said they do not trust the company's Full Self-Driving (FSD) technology or its safety statistics, according to a Reuters investigation published Thursday.
This internal skepticism challenges the public narrative of Tesla's autonomous capabilities. If the employees responsible for training the AI believe the system is unsafe, it raises significant questions about the company's ability to deploy self-driving vehicles at scale.
Reuters reported that the automaker is far from safely delivering self-driving vehicles for mass use [1]. The investigation found that Tesla's statistical methodology regarding safety is flawed [1]. According to the report, the self-driving system continues to fail at basic safety tasks, which has led trainers to lose confidence in the official safety claims [1].
These concerns persist despite the company's high market valuation of $1.6 trillion [1]. The gap between internal technical assessments and external market expectations remains a point of contention.
Public sentiment on the platform X remains largely positive, with many vehicle owners expressing enthusiasm for FSD [2]. However, the AI trainers, employees who interact with the system's failures and successes daily, maintain that the technology is not ready for large-scale deployment [1].
Elon Musk said, "I've tried to warn them" [3].
“Tesla AI trainers say they do not trust the company's Full Self-Driving (FSD) technology”
The discrepancy between employee testimony and corporate safety claims suggests a potential rift in how Tesla measures success. While consumer enthusiasm and market valuation remain high, the technical hurdles identified by the AI trainers indicate that achieving true autonomy may require more than the current statistical approach.
