In recent months, Tesla CEO Elon Musk has been far from the only person at the company using the X platform regularly to spread information about its products. Amidst calls for Tesla to advertise, the use of X from both executives and other employees has increased substantially in the past few months, not unlike how Musk has used the platform over the years.
Beginning around when the Cybertruck was released in November, executives and engineers from the company began sharing information about the pickup, and that has continued steadily since. Executives have also increasingly spoken directly to people on X about that and other subjects, sharing details about the company’s products and responding to some when they raise questions.
Tesla launches advertising on X in the U.S., expanding ‘small scale’ strategy outlined by Musk
Around the launch of the Cybertruck, Tesla employees who received early copies of the vehicle started posting about them regularly, noting specific details about the vehicles and often responding to users in the threads that followed. This played a seemingly key role in marketing the truck and bringing awareness of it to the public, while helping to spread correct information about them.
Below is a post made by Cybertruck Lead Engineer Wes Morrill in December, featuring his dog and talking about the vehicle’s rear seats at a time when little was known about the pickup.
Front seats have enough room underneath for a nice burrow, and it has a window… pic.twitter.com/AEuwBnaE1m
— Wes (@wmorrill3) December 17, 2023
Tesla executives have also been more vocal, both on X and in more regular media appearances, including people like Design Lead Franz von Holzhauzen, Vice President of Vehicle Engineering Lars Moravy, and Vice President of Investor Relations Martin Viecha, among others still.
These executives have, once again, been focused on educating the public about Tesla’s products, answering customer questions and responding to inaccuracies. Discussions have ranged from those on the Cybertruck and the upgraded Model 3 to the Optimus robot, the Full Self-Driving (FSD) beta and more.
Tesla Vice President of Public Policy and Business Development, Rohan Patel, has regularly been sharing information about the company’s products and ongoing plans for the past few months. As a recent example from last week, Patel responded directly to inquiries about when Tesla’s FSD beta would become available as a subscription in Canada, saying it was being worked on and would likely be in “the coming weeks.”
Elon approved this Canada update and the team is working on the technical and regulatory procedures to make sure we don’t trigger any unintended provincial issues. Barring any setbacks, I’d expect this in the coming weeks.
I take responsibility for missing this one when the… https://t.co/ZZjUjwMfRw
— Rohan Patel (@rohanspatel) March 9, 2024
Another example includes Tesla Director of Product Design Javier Verdura, who recently pointed out that the Cybertruck tent camper wasn’t fully set up in photos from one publication, making it look worse than when it’s set up properly.
The picture shown in the Electrek article is not properly nor fully set up. They literally posted the worst possible picture they could find. When set up properly, the tent looks great. When stowed, it hides neatly under the tonneau cover avoiding aero drag when driving
— Javier Verdura (@JVerdura) March 9, 2024
While CEO Elon Musk hasn’t slowed down in his posting habits, many of them are not about Tesla, SpaceX or his other companies these days, instead being about politics. Still, looking at Musk’s Twitter history, it isn’t hard to see how often he was using the platform to spread news and information about Tesla and SpaceX, all the way back to his early tweets in 2011 and 2012—and this approach seems to be similar to what many at Tesla are now following him into.
In 2022, Visual Capitalist published an article mapping out all of Musk’s tweets between 2012 and 2021, with the vast majority of them being related to Tesla and SpaceX. The piece also lays out the growth of Musk’s follower count during that time, which stands at 175.9 million at the time of writing, up from about 65 million when the article was published.
You can see a few of the graphics from the Visual Capitalist article below.
Credit: Visual Capitalist Credit: Visual Capitalist Credit: Visual Capitalist
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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
