As COVID-19 continues to spread throughout parts of the world, conference calls have become a staple in many people’s lives. In the midst of the pandemic last year, Elon Musk stated that video conferencing within a Tesla would “definitely [be] a future feature.” Well, Tesla Model S owner and Mass Luminosity CEO Angel Munoz decided that the future is now.
“Both my wife and I have Teslas. She drives a Model X and I drive a Model S. I just always thought what an incredible piece of real estate is right in the center there,” he told Teslarati. “You know, quite frankly, I’m not going to watch movies in my car, not going to play games in my car—and I’m a gamer. Not interested. But I will do a video conference.”
Munoz happens to be the co-creator of Beacon, a browser-based video and voice conferencing service. He did not initially plan to create Beacon for Tesla, but seemed enticed by the challenge of bringing the service to his car.
Munoz worked closely with Beacon’s Senior VP of Technology Teodor Atroshenko for almost a year to develop Beacon for Tesla. “It didn’t work in the beginning. It didn’t work at all. It took us a while,” he said.
The pair seemed to take a page right out of Elon Musk’s handbook while developing Beacon for Tesla, too. They appear to have gone all out, introducing features and specs to Beacon for Tesla, like 4K ultra high definition, 3D stereo audio, and the ability to transfer calls seamlessly from desktop to phone to Tesla’s infotainment system with a click of a button.
“Teodor and I, we took it as a personal challenge…And we didn’t have to reverse engineer anything,” he explained. “We just had to be aware of how [Tesla] restricts things. And then we created Beacon on the web in a way that it’s immediately accessible by being safe.”
In January 2021, Munoz and Atroshenko made a breakthrough and were able to successfully complete a video conference call in the CEO’s Model S. Beacon for Tesla uses the car’s mics, speakers, and video panel. However, they were not able to access Tesla’s in-cabin camera.
“So right now the way that we have it is that it syncs between the camera on your phone and the call. But we cannot access the [in-cabin] camera without permission,” Munoz stated.
Beacon is open to working with Tesla to bring the full power of its video and audio conferencing service to owners like Munoz himself. He told Teslarati that Beacon for Tesla beta has a tentative launch date set for mid-March 2021.
However, Tesla owners will still be able to use Beacon in their vehicles when it launches. Munoz explained that Tesla owners won’t have to download an app to use Beacon since it is optimized for Chromium browsers, the same engine used for Tesla browsers. So users would just have to log-in to access the service. He noted that Tesla actually saves cookies now so logging into accounts would be easier.
Munoz had one suggestion for Elon Musk about access to browser information in Teslas, though. If Munoz had the chance to talk to Musk he would say:
“Elon, keep that, but make it like you do other things on your Tesla. For example, if you’re going to open the glove compartment…you can make it that it pops a security code that you need to put in or if you want to open your car, you can make a security code. I have both, so do the same for the browser. So, the browser saves that, but before you launch the page, have that security code and then it launches the page. I would love to tell him [Elon] that’s the right way of going about that.”
The Age of the Autonomous Vehicles
Tesla has been dubbed by owners and some experts in the industry as not only the leading EV automaker, but the future leader of autonomous vehicles as well. As a long-time Tesla Model S owner, Munoz seems to understand the future Elon Musk envisions for Tesla with regards to autonomy and the Robotaxi fleet.
“Think about the possibilities. Imagine this. I have a Model 3, and let’s say that autonomous driving becomes a reality—obviously that’s still kinda up in the air,” he said.
“But let’s say that someone is being picked up in a Model 3, and something happens or something, I can call the car and [contact the passenger].” Munoz described other scenarios where an in-car Tesla video conference call would be useful as well.
His examples pointed out that autonomous vehicles would still need some sort of human interaction and communication between the car owner and the passenger. And if there’s anything the pandemic has taught us, it’s that conference calls are a good way to communicate and interact in the absence of physical presence.
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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
