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Elon Musk’s three prerequisites for a new Tesla Model 3 have been met
Elon Musk listed three prerequisites Tesla would have to accomplish before overhauling the Model 3’s design. They have now been met, and with reports of “Project Highland” funneling through the automaker’s future plans, the stage is set for a refresh of the company’s mass-market sedan.
In early 2021, Musk met with industry veteran and “Teardown Titan” Sandy Munro to discuss anything and everything related to Tesla. The meeting was catalyzed by Tesla’s developments in manufacturing efficiency, which was met with compliments and criticism when Munro, a 40+ year veteran of automotive engineering, tore down the Model Y. Questions regarding the Model 3, an obvious sibling of the Model Y, came to the surface, with Munro wondering when the sedan would receive improvements in its build.
The Model 3 was an elementary example of Tesla’s engineering prowess. The vehicle featured a chassis and frame with many parts, a technique that was improved upon with the Model Y. Tesla switched to a more efficient casting design that increased structural rigidity and safety, while eliminating excess parts and decreasing overall production time.
The Model 3 was always set to get these updates, though Musk walked on eggshells committing to when it would actually happen. As a result, Musk laid down a few ground rules that would need to be met before the Model 3 was overhauled and improved.
Musk said:
At some point, we probably will switch to a single-piece casting, but I think we need to get the Texas factory and the Berlin factory going. We do have an issue. It is hard to change the wheels on the bus when it is going 80 MPH down the highway. So, Model 3 is…well, was most of our volume. Model Y will exceed Model 3, but we just need an opportunity to redo the factory without blowing the cash flow of the company.”
“Project Highland” will reportedly reduce the number of components in the Model 3 while also focusing on improving important technology features, like infotainment.
Tesla developing revamped Model 3 under “Project Highland:” report
Texas and Berlin Factories
Gigafactory Texas and Gigafactory Berlin were in not yet producing or delivering cars when Musk met with Munro. Tesla was still dependent on just Fremont and Gigafactory Shanghai for its global automotive fulfillment, it had not launched in several countries it recently started delivering cars to, and Texas and Berlin had production start dates far from concrete.
Fast forward to late early December 2022, when reports of “Project Highland” first became public. Texas and Berlin are producing Model Ys, and customer deliveries have been going on for months.
Tesla Model Y production at Gigafactory Berlin (Credit: Tesla)
While Berlin has been producing cars for a longer period than Texas, both are ramping adequately, according to Tesla’s delivery figures, which have continued to surge the company toward its first million-unit year.
While the production facilities are not fully ramped and have not yet reached full capacity, Musk didn’t say he needed Tesla’s two newest manufacturing plants to be churning out vehicles to their limit. He said they just needed to get them going, and they undoubtedly fit that description.
Model 3 cannot be a majority of Tesla’s volume
The Model 3 was still Tesla’s best-selling vehicle in January 2021, and this would not change in the United States until June 2021 and in China until October 2021.
While the Model Y was a low-volume vehicle at the time but featured new vehicle technology and manufacturing techniques. The Model 3 was becoming outdated with every Model Y sale, and Musk always said the Y would be Tesla’s best-selling car and perhaps the most popular car on the planet.
It didn’t take long for the Model Y to overtake the Model 3, and now that it has been solidified as Tesla’s global best-selling car, the Model 3 can undergo quite a transformation. Recent images show a Model 3 with various panel covers, hiding what could be anything from new sensor designs, like what was uncovered by Electrek earlier this week, or a new manufacturing design that just isn’t ready to be unveiled quite yet.
It is quite evident the Model 3 is going to face some substantial changes, whether they are cosmetic or not remains to be seen. However, it is no coincidence that Musk’s plan to overhaul the Model 3 has suddenly become a reality as the conditions for a Model 3 overhaul have been met.
Tesla still has not confirmed in any way that it would redesign the vehicle. However, Musk did not deny the Reuters report, as he has publicly done in the past. Earlier this week, we reported Tesla was already preparing Fremont for new Model 3 production lines, and after manufacturer plates were spotted on the partially-hidden Model 3, all indications point toward a newly-realized design heading into 2023.
What do you think Tesla will bring to the table for the Model 3 redesign? If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email 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
