News
Tesla Gigafactory 3 gets ‘Space Odyssey’ Monolith-like structure amid buildout
The buildout of Tesla’s Gigafactory 3 in Shanghai continues to be impressive, with the facility and its surrounding complex showing more progress with every new update. This is particularly evident in the site’s general assembly building, which is looking more and more like one of Tesla’s iconic factories in the United States. Interestingly enough, workers in Gigafactory 3 have begun building a couple of structures at the northern end of the facility, both of which are notably taller than the rest of the main factory.
The structures became evident in recent drone flyovers, particularly as workers began covering the final exposed portions of Gigafactory 3. Neither Tesla China nor local news agencies have revealed what the tall structures are, though, their height suggests that they might be used as towers (perhaps for elevators?) for the electric vehicle production facility.
With the Tesla community being familiar with Elon Musk’s love of science fiction, some promptly observed that the structures looked strangely similar to the Monoliths in Arthur C. Clarke’s Space Odyssey series. One of the towers definitely looks the part, from its solid black paint to its overall proportions. Whether the tower’s design is but a coincidence or yet another Easter Egg from Elon Musk will likely remain unknown, but it is difficult to deny that the structures are a nice touch to the massive facility.
The Monoliths are among the most notable structures in the Space Odyssey series. Varying in size but always always taking the form of a mysterious black slab, the Monoliths are capable of many different functions. TMA-0, a Monolith discovered in Africa, was even described in the franchise’s lore as the catalyst for evolution. All the Monoliths in Clarke’s world maintain a 1:4:9 dimensional ratio, which does not seem to be true for the tower in Gigafactory 3. Then again, it is not too difficult to imagine Elon Musk or the Tesla team adding the monolithic towers at Gigafactory 3 as a fun, lighthearted reference to the iconic sci-fi series. Such would be on-character for Tesla, being a carmaker whose vehicles’ volumes go up to 11 (a reference to This is Spinal Tap), and whose mobile app has a Back to the Future Easter Egg.
Potential Easter Eggs and sci-fi references aside, Gigafactory 3 continues to be built at a rapid rate. The site continues to enjoy notable support from the government, as shown by the close monitoring of Gigafactory 3’s progress by high-ranking officials. Less than two weeks ago, the Gigafactory 3 complex was graced by Shanghai Party Secretary Li Qiang, and more recently, reports have also mentioned that the Shanghai Mayor paid a visit to Tesla’s construction site. Local news agencies have also reported that Tesla’s first batch of Gigafactory 3 employees are expected to start their work at the facility by the end of July.
Tesla CEO Elon Musk expects Gigafactory 3 to start the initial production of the Model 3 before the end of the year. While this is already very ambitious considering that the facility only broke ground in January, reports from China have pointed to the possibility of initial Model 3 production beginning as early as September, barring any unexpected delays. Chinese media appears to be supporting this narrative, and based on images of Gigafactory 3 that were shared by Tesla in its update letter, a September initial run for the Model 3 might be more feasible than expected.
Watch the latest flyover of Tesla’s Gigafactory 3 complex in the video below.
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
