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Tesla Model S owner makes in-car video conference calls possible in preparation for an autonomous future

(Photo: Andres GE)

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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.

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“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. 

(Credit: Angel Munoz)

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: 

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“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.

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online

Elon Musk shared his update in a recent post on social media platform X.

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Credit: xAI

xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.

Elon Musk shared his update in a recent post on social media platform X.

Colossus 2 goes live

The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world. 

But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.  

Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.

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Funding fuels rapid expansion

xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.

The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.

xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.

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Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence

The Tesla CEO shared his recent insights in a post on social media platform X.

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Credit: Tesla

Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk. 

The Tesla CEO shared his recent insights in a post on social media platform X.

Musk details AI chip roadmap

In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle. 

He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.

Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.

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AI5 manufacturing takes shape

Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.

Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.

Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.

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Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025

According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.

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Credit: ANCAP

The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.

According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.

The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring. 

This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.

The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.  

ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.

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“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.

“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.

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