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Tesla’s ventilator donations are being used to provoke Elon Musk into another controversy

(Credit: Tesla/YouTube)

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During a global pandemic, an optimist would hope that people would work together to help those in need out of the common good. A pessimist would suggest that such circumstances would bring out the worst in people instead. Recent developments in the media coverage of Elon Musk and Tesla’s ventilator donations suggest that the pessimist is right. At times like these, there are entities who choose to provoke people that are willing to help–all for the sake of controversy. 

Elon Musk is no stranger to controversy, both self-inflicted or otherwise. Over the past years, Musk has butted heads with several entities, from regulators like the SEC to journalists who tend to cover Tesla with pervading negative slant. Some of these bouts have resulted in a lot of pain for Musk and even Tesla shareholders. An example of this is Musk’s spat with British caver Vern Unsworth, whose defamation case against the CEO over comments following the Thailand cave rescue triggered some TSLA stock swings and extensive coverage from multiple premier news outlets. 

Musk has a strong tendency to correct misleading reports. Take CNN’s recent coverage of Tesla’s ventilator donations, for example. The news outlet published a report alleging that no ventilators have reached CA hospitals despite Musk’s commitment to do so. Musk then took it upon himself to correct the report, showing messages between Tesla and the medical professionals from the state communicating about the donated machines and their use. 

This, of course, triggered even more staff from CNN to double down, alleging that the non-invasive ventilators donated by Tesla weren’t ventilators at all, despite medical professionals stating that the machines are invaluable for non-critical coronavirus cases. The BiBAPs and CPAPs donated by Tesla could even be retrofitted using a simple modification to work for critical cases. Tesla has also started delivering actual invasive ventilators to hospitals, on top of the company’s efforts to develop its own ventilator using Model 3 parts

Anyone with an iota of sense would see that Tesla and Musk are pretty much doing what they can to address the needs of medical professionals as much as possible. Are the BiBAPs and CPAP’s donated by Musk useful in the battle against the coronavirus? Medical professionals, government officials, and CEOs of actual ventilator makers would agree. Can the machines be modified to work for more severe cases? The doctors at Mt. Sinai Hospital in New York say it’s actually pretty simple to do so. With this in mind, it seems like a no-brainer to conclude that the machines Tesla donated are indeed helping in the battle against the ongoing pandemic. 

https://twitter.com/AngelNDevil2/status/1250865241031872512?s=20

This point was lost entirely in critical articles that have been published about Musk and Tesla’s donations from outlets such as CNN. One who is unfamiliar with the events that led up to Musk’s recent Twitter interactions would likely think that the Tesla CEO brazenly lied when he committed to donating free ventilators, instead giving away cheap machines that are useless against the C-19 virus. Critics would even refuse to acknowledge non-invasive machines as actual ventilators, despite authorities such as John Hopkins listing them as such.

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A key thesis against Musk alleges that he lied about ventilator donations to get some free PR and goodwill. This does not hold water, as Tesla and Musk already receive an insane amount of media coverage, and the company is scrutinized consistently by the media and critics from Wall Street. Thus, the idea of Musk wanting more media coverage to stroke his ego does not seem to make sense, considering that he and his companies actually get a little bit too much coverage. With this in mind, it appears that CNN’s recent reports about Tesla’s ventilator donations, as well as the succeeding tweets from the media outlet’s staff doubling down on their narrative, are designed to do one thing. They are posted to provoke Musk, until such a time when he actually responds with something concretely controversial. 

Something similar has happened before. Mention Musk’s name with the Thai cave rescue and many will likely remember the CEO’s incendiary comments against British caver Vern Unsworth. A popular narrative for the event also alleges that Musk stuck his nose into the rescue without prompting so he can get free PR, and that he “attacked” the caver just because he wanted to. The fact that Musk was invited to help, that his team was in close communication with rescuers, and that the caver initiated the verbal spat, are largely forgotten. These experiences, as painful as they may be, must now stand as a huge lesson to Elon Musk. 

Musk is no stranger to controversies with the media, and having gone through significant pains over the years because of them, he must handle the ongoing attempts to provoke him with extreme caution. At this point, Musk’s critics (and apparently, CNN staff) are practically salivating at the prospect of the CEO firing off a tweet that can be interpreted as a direct act of aggression against the news outlet or any of its staff. So far, Musk’s responses have been sarcastic, and that’s fine and true to his personality. But the Tesla CEO must be aware that he is not playing a fair game here. Every point of syntax and semantics can and will be exploited to fit a narrative, even if it means twisting the context of a statement. With this in mind, Musk’s best strategy for now is to proceed with a ton of caution, or complete silence. 

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

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.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

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.

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.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

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.

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.

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