The Hidden Records of Tesla Autopilot Fatalities
A fatal collision in Ohio reveals how Tesla uses regulatory redactions to obscure the performance of its driver-assist systems in real-world crashes.

The future, it turns out, arrives not with a bang, but with a ping from your phone while you’re on the couch, dog at your feet.
For one resident of San Carlos, California, the very birthplace of the electric vehicle giant Tesla, that notification heralded the arrival of a new era: a Robotaxi was ready to roll.
This wasn’t just another ride-share; it was a tangible glimpse into Elon Musk’s audacious vision for autonomous mobility, unfurling on the familiar streets where Tesla’s journey began over two decades ago.
San Carlos holds a unique place in the Tesla narrative.
It was here, in 2003, that the fledgling company laid its foundations, dreaming of electric roadsters zipping through neighborhoods.
Fast forward to today, and those dreams have morphed into a global empire, albeit one navigating a notoriously controversial path.
From an EV and battery manufacturer, Tesla is now aggressively positioning itself as a leader in autonomous technology and robotics.
This latest rollout of its Robotaxi service in the Bay Area, complete with a human safety driver as a watchful co-pilot, is a significant milestone on that winding road.
The call came, or rather, the app notified, that a Robotaxi was six minutes away.
The mission: a two-mile jaunt up a winding, car-lined hill to a friend’s house.
A sleek Model Y, a testament to Tesla’s design evolution, pulled up, a safety driver stoically behind the wheel.
Settling into the backseat, the command “Start ride” on the screen initiated more than just a trip; it began an immersion into a technology that promises to redefine urban transit.
The contrast with previous encounters with Tesla’s Full Self-Driving (FSD) software was immediate and striking.
Earlier tests, even with the latest iterations on a personal Model 3, had revealed impressive capabilities but also unsettling glitches, including a disconcerting run through a red light.
That FSD demanded constant human supervision.
This Robotaxi, however, felt different, a more advanced iteration of the autonomous brain.
The safety driver, hands poised, served as a vital, yet hopefully redundant, failsafe.
The Model Y glided away smoothly, navigating the suburban landscape with an almost preternatural awareness.
Stop signs were observed with meticulous precision, speed limits respected.
It was school dismissal time, a crucible for any driver, human or AI, with children, bikes, and minivans crisscrossing the streets.
The Robotaxi handled it all with unflappable composure.
Even as it veered onto an unfamiliar route, winding through a particularly narrow, steep section dotted with parked cars, the system remained unperturbed, slowing judiciously for blind curves.
A telling moment came at a notorious dip in the road, scarred by vehicles that had misjudged its severity.
The Model Y, sensing the hazard, eased over it without a jolt – a testament to its newfound ability to detect and adapt to road imperfections.
When questioned about this impressive maneuver, the safety driver confirmed the system’s enhanced perception of bumps and dips.
But further inquiries into the technology or his experience were met with a polite but firm wall of silence.
It was his first day, he revealed, but company policy precluded discussing Tesla or the frequency of his interventions.
This human-in-the-loop, yet largely silent, presence underscored the unique, almost paradoxical, nature of this nascent autonomous service: a blend of cutting-edge AI and tightly controlled human oversight, a stark reminder that we are still in the early chapters of this robotic revolution.
The journey concluded as smoothly as it began, the Robotaxi pulling up to the sidewalk with practiced ease.
The cost? Less than $6, a noticeable discount compared to a typical Uber ride to the same destination.
And the tip option?
A humorous button that, when pressed, revealed a playful message: “This is a joke. There are no human drivers, so no tips are required.”
It’s a small detail, but one that speaks volumes about the fundamental shift this technology represents, stripping away the human interaction that has long defined service industries.
The return trip, ordered after an enjoyable interlude with a friend, presented a slightly longer wait – a reasonable expectation given the uphill location.
Yet, the experience mirrored the first: smooth, careful, and remarkably intuitive.
The Robotaxi executed a challenging left turn onto a busy two-way road during rush hour with calculated patience, yielding to a father and his children on bikes.
A thoughtful touch was the automatic connection to the author’s Spotify account for in-car music, a seamless integration that belied the complexity of the underlying technology.
The only minor deviation from perfection was the Robotaxi’s slightly prolonged search for a perfect parking spot upon arrival, requiring a short 30-second walk home.
A small concession to an otherwise flawless performance.
This journey, from a Silicon Valley couch to a friend’s house and back, offers more than just a review of a new service; it’s a commentary on the relentless march of technological progress and the evolving relationship between humans and machines.
Tesla, born in San Carlos, is now bringing its most ambitious creations full circle, challenging our perceptions of what mobility can be.
The era of the Robotaxi, still with its human safety net, is here, slowly but surely transforming the everyday into the extraordinary.
And as for the author, the verdict is clear: he’ll be riding again soon, a willing participant in this unfolding chapter of automation.
A fatal collision in Ohio reveals how Tesla uses regulatory redactions to obscure the performance of its driver-assist systems in real-world crashes.
Former Tesla engineer Eric Aguilar is challenging Elon Musk’s dismissal of lidar, developing a silicon-based solution that makes the technology affordable and robust. This innovation is poised to unlock safer autonomous vehicles and the next generation of humanoid robots.
Former Tesla engineer Eric Aguilar is challenging Elon Musk’s camera-only approach to autonomy with his startup, Omnitron Sensors. His company is developing durable, silicon-based lidar to make self-driving vehicles and robots safer and more affordable. Aguilar believes this technology is critical for robust perception in the robotic revolution.