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Tesla’s proven anti-pandemic safety plan has fallen on deaf ears amid an anti-Elon Musk narrative
One of the most remarkable things that one can witness is the birth and spread of a narrative. Narratives are powerful, as they are capable of affecting and perhaps even changing the perception of people on a particular person or topic. Such a narrative is forming in the Tesla-sphere today: one that completely ignores a company’s proven efforts to battle the coronavirus, and one that brands the electric car maker’s CEO as a de facto villain that cares not for his employees.
Amidst the ongoing issues surrounding the reopening of the Fremont factory, Tesla publicly shared a Return to Work Playbook that it will be using to protect and prevent its workers from contracting the coronavirus. The strategies outlined in the playbook are modeled after the company’s efforts in Gigafactory Shanghai, which successfully battled the virus when it was ravaging China. Tesla’s Shanghai plant was barely affected by the pandemic, and it is back in full operations today.
Alameda County officials have not given Tesla the green light to resume operations in the Fremont plant, a factor that has resulted in heated online discussions between Elon Musk, TSLA critics and supporters, and local government officials. County officials argue that Tesla is yet to meet certain guidelines that would allow its formal approval to reopen the Fremont factory, but no details about these criteria have been released thus far. This has resulted in a rather sticky situation. The county says Tesla is not fulfilling safety guidelines, but it would not specify which.
Strangely enough, Alameda County has also not discussed which parts of Tesla’s Return to Work Playbook are inadequate. A look at the playbook shows several intensive safety protocols that the company will be adopting to prevent the spread of the virus. But even the existence of the playbook itself, and more importantly, its contents, do not seem to be acknowledged by representatives of Alameda County when they speak against the electric car maker’s intentions to reopen the Fremont plant.
CEO Elon Musk has ordered Tesla’s Fremont factory to reopen despite opposition from Alameda County officials. Musk even noted that if anyone were to be arrested due to the factory’s reopening, it should only be him. Such a move has triggered a wave of negative coverage on the CEO, with some articles claiming that Musk is “asking” to be arrested, or “daring” law enforcement to apprehend him. A narrative has also formed suggesting that Tesla and Musk are “forcing” Fremont’s employees to build cars without any regard for public safety. A report from The Washington Post even quoted a Fremont factory worker who reportedly stated that “we are extremely frustrated, angry, scared, that Elon is putting his cars before his workers.”
Such a narrative is compelling, of course, and it makes for a good story. Every tale needs a villain, and Musk, with his outspoken, controversial remarks about the ongoing lockdown, is the perfect target. What is missing from this narrative is the fact that Musk himself has been quoted time and time again, in both spoken and written form, that workers at the plant are not forced to come to work at all. “I’d like to be super clear that if you feel the slightest bit ill or even uncomfortable, please do not feel obligated to come to work. I will personally be at work, but that’s just me. Totally ok if you want to stay home for any reason,” Musk wrote back in March.
A look at the social media feeds from Fremont factory workers paint a much less controversial picture amidst the facility’s reopening as well. Inasmuch as mainstream reports today are running with a narrative that suggests Tesla is forcing employees to catch the virus or perish for the sake of Musk’s pockets, such sentiments do not seem universal for the company’s workforce. Some workers at the factory have noted that they appreciate that work is being resumed, and that the company is indeed following through with its stringent anti-pandemic strategies.
But such a scenario does not paint a narrative that is as compelling as a Machiavellian CEO forcing thousands of employees to perish for his personal profits. If Tesla is simply using a playbook that is tried and tested in Shanghai, and if workers are actually appreciative of the factory’s reopening, the anti-Elon Musk narrative gets lost. If there are no evil CEOs and mass numbers of employees being abused, Tesla’s Fremont facility becomes just a regular car production facility that is reopening its doors after a shutdown: one that is no different than car factories that are already open or are poised to reopen in the coming days.
Unfortunately, the draw of Musk and Tesla and their surrounding narratives are simply too tempting to ignore.
Tesla Return to Work Playbook by Simon Alvarez on Scribd
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
