Since Tesla delivered the first units of its all-electric Semi to Frito-Lay facilities in Modesto, California, in December 2022, any instance of one breaking down on the side of the road has been photographed and highly publicized. However, Teslarati has been told that at least some of the “breakdowns” are caused by a glitch within a software switch, and drivers are pulling over voluntarily as a precaution because the dash screens will flicker and sometimes shut off.
Since December, there have been at least eight instances of Tesla Semi vehicles breaking down. Some attributed it to a loss of range from carrying a load of products, as weight and hauling affect how far an EV can go.
Others suspected it was a mechanical issue, as the Semi is still a relatively young product that has been in development for some time but has only been used in real-world applications by a company that is not Tesla for a few months.
Tesla Semi developers reflect on first deliveries: ‘Out the door. For the world.’
While these are a possibility, they would be expected. Vehicles break down all the time for various reasons, including mechanical failures, and people often run out of gas in combustion engine vehicles and/or range in EVs.
Tesla Semi drivers are experiencing dash issues
At least some of the Semi breakdowns can be attributed to a glitch with a software switch, Teslarati has learned. How many of the breakdowns can be attributed to this issue is unknown, but more than one has been described as having this problem.
According to a source close to the operation in Modesto, drivers are pulling over their Semis as a precaution, as the glitch is causing the dash screens and lights on those screens to flicker and sometimes shut off. “They don’t know what to do,” said the person who did not want to be identified. “So they just pull over, and then they are towed.”
Drivers and others involved in the logistics portion of the operation at Frito-Lay that use the Tesla Semi have stated that the screens will not operate properly. Drivers are pulling over as the screens hold valuable information, such as speed, range, camera views surrounding the truck, suspension information, trailer hitch controls, and more.
Tesla Semi interior (Credit: Tesla)
Without the screens being operational, drivers run into issues that can affect how their jobs are performed, including important safety metrics like speed.
The vehicles are then towed to what we were told is a “secret location” in Lathrop, California, for inspection and repair.
A tow truck driver that has been responsible for transporting the Semis to Lathrop said they had towed at least four units to that location thus far.
Why This Isn’t So Bad
The Semi has only been in Frito-Lay’s hands for about four months, and it is an extremely early project that is still a very limited operation. Frito-Lay expects to have only fifteen Tesla Semis in Modesto this year, so the vehicle is not taking over the entire fleet. In fact, Frito-Lay has adopted various sustainable technologies from several companies to make the Modesto plant more environmentally friendly.
The issues, if completely software-related, can be fixed by Tesla engineers. While the Semi is much different than its passenger vehicles, Tesla has a reputation for having some of the best software in the EV industry. There would likely be much more concern if these breakdowns could be attributed to a part failure or range depletion.
Tesla already displayed the Semi’s capabilities with a full load during the unveiling event in December, showing the all-electric class 8 truck traveling 500 miles on a single charge. We were not told about or made aware of any hardware failures or breakdowns that were caused by parts failures.
Tesla Semi completes 500-mile journey weighing in at 81,000 pounds
The problems with the Semi are likely expected by both Tesla and Frito-Lay as it is still an early-stage vehicle that is being rolled out in a very limited fashion.
Frito-Lay/PepsiCo. did not immediately respond to our request for comment.
What’s Next
Tesla is still moving forward with its plans to expand Semi production in Nevada, as earlier this year, it announced it would build a $3.5 billion expansion to Giga Nevada.
As for Frito-Lay and PepsiCo’s facility in Modesto, there is no indication that they will let a few early issues with the Semi ruin their fleet. In fact, the facility is set to have Megachargers installed at its plant in Fresno, California.
As far as we know, the Semi is still operating daily. Yesterday, it was spotted in Sacramento.
The big picture is that vehicles break down, and new vehicles sometimes have issues that need to be ironed out. It doesn’t mean the project is a failure or that the Semi is doomed to be a dud. It’s the growing pains of the Semi operation.
Disclosure: Joey Klender is a TSLA Shareholder.
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Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
