Tesla’s own AI trainers don’t trust ‘Full Self-Driving’ or its safety stats, Reuters finds

A major Reuters investigation published today reveals that Tesla’s widely touted “Full Self-Driving” safety statistics are built on deeply flawed methodology — and that the company’s own data labelers, the workers who train the AI system, don’t trust the technology to drive them.

The report, based on interviews with nine former Tesla data labelers, a former self-driving engineer, and 11 traffic-safety researchers, paints a damning picture of the gap between Tesla’s safety marketing and the reality of its autonomous driving program.

Tesla’s safety stats inflated by a factor of 3

We’ve been calling out Tesla’s misleading FSD safety claims for a while now, and the Reuters investigation confirms the core problem with hard data.

Tesla CEO Elon Musk and other executives have repeatedly claimed that “Full Self-Driving” is up to 10 times safer than human drivers. Tesla CFO Vaibhav Taneja first made this claim last July, and Tesla Board Chair Robyn Denholm repeated it at a November shareholder meeting. Musk himself displayed a chart at that meeting claiming “85% less crashes.”