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.
The Teslarati team would appreciate hearing from you. If you have any tips, email us at tips@teslarati.com or reach out to me at maria@teslarati.com.
News
Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
News
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
News
Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
