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Tesla Model S, X MCU controlled test shows new media control unit is 2x faster

[Credit: My Tesla Adventure/YouTube]

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Tesla’s new Media Control Unit for the Model S and Model X was recently put through a controlled test against the company’s old MCU. The video, recently uploaded by My Tesla Adventure on YouTube, showed that the new MCU was around twice as fast as the NVIDIA Tegra-3-powered units on Tesla’s older vehicles.

The controlled test covered four different features of the media control unit — destination navigation, vector map responsiveness, dash navigation button speed, and of course, the built-in web browser. Both vehicles were hooked up to the same Wi-Fi network, putting the electric cars on even ground.

The first test involved destination navigation, with the Tesla enthusiast instructing both cars to navigate to Tesla’s delivery center in Marina Del Rey, CA. The new MCU was able to calculate the route, suggest charging stops, and set the destination in 9.27 seconds. The older MCU unit displayed the same data in 20.73 seconds.

Zooming in and out of the electric cars’ vector maps was roughly twice as fast in the newer MCU, with the newer unit being able to zoom out to the US map and zoom in back to the vehicle’s location in 27.97 seconds. The older MCU took 54.59 seconds to accomplish this task. My Tesla Adventure, however, noted that the true difference-maker with the old and new MCUs was the responsiveness of the updated media control unit.

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“When testing the manual map navigation with vectoring, I noticed that it was hard to navigate with the old MCU because of the delay in response times from my finger inputs and the responsiveness of the screen. So it resulted in me kind of sliding all over the place on the map and going to places I didn’t intend to go.”

The difference in the old and new MCU’s speed when navigating through the dash buttons was less prominent. As could be seen in the video, the new unit was slightly faster than the new MCU, but the older media control unit was still fast and responsive. The cars’ web browser, however, showed the biggest difference in performance and speed. Loading Tesla.com from Google.com took the new MCU 12.10 seconds. The older media control unit, however, took a whopping 48.32 seconds before it was able to load the official Tesla website.

As we previously noted in a report, a Tesla spokesperson has confirmed with Teslarati that hardware changes to the onboard displays of Model S and Model X vehicles have been initiated by the company as part of Tesla’s continuous effort to introduce hardware and software improvements to its fleet over time. 

The improvements to the car’s internet browser are quite noteworthy, especially since it has been teased by Elon Musk in the past. Back in December, Musk admitted that the Model S and X’s browsers were indeed “terrible,” and assured the Tesla community that “major browser upgrades” would be rolled out to the company’s fleet of vehicles in a few months.

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Watch the controlled test of Tesla’s old and new MCUs below.

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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Elon Musk

Starlink restrictions are hitting Russian battlefield comms: report

The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.

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A truckload of Starlink dishes has arrived in Ukraine. (Credit: Mykhailo Fedorov/Twitter)

SpaceX’s decision to disable unauthorized Starlink terminals in Ukraine is now being felt on the battlefield, with Ukrainian commanders reporting that Russian troops have struggled to maintain assault operations without access to the satellite network. 

The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.

Lt. Denis Yaroslavsky, who commands a special reconnaissance unit, stated that Russian assault activity noticeably declined for several days after the shutdown. “For three to four days after the shutdown, they really reduced the assault operations,” Yaroslavsky said.

Russian units had allegedly obtained Starlink terminals through black market channels and mounted them on drones and weapons systems, despite service terms prohibiting offensive military use. Once those terminals were blocked, commanders on the Ukrainian side reported improved battlefield ratios, as noted in a New York Post report.

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A Ukrainian unit commander stated that casualty imbalances widened after the cutoff. “On any given day, depending on your scale of analysis, my sector was already achieving 20:1 (casuality rate) before the shutdown, and we are an elite unit. Regular units have no problem going 5:1 or 8:1. With Starlink down, 13:1 (casualty rate) for a regular unit is easy,” the unit commander said.

The restrictions come as Russia faces heavy challenges across multiple fronts. A late January report from the Center for Strategic and International Studies estimated that more than 1.2 million Russian troops have been killed, wounded, or gone missing since February 2022.

The Washington-based Institute for the Study of War also noted that activity from Russia’s Rubikon drone unit declined after Feb. 1, suggesting communications constraints from Starlink’s restrictions may be limiting operations. “I’m sure the Russians have (alternative options), but it takes time to maximize their implementation and this (would take) at least four to six months,” Yaroslavsky noted. 

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Tesla Korea hiring AI Chip Engineers amid push for high-volume AI chips

Tesla Korea stated that it is seeking “talented individuals to join in developing the world’s highest-level mass-produced AI chips.”

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Credit: xAI/X

In a recent post on X, Tesla Korea announced that it is hiring AI Chip Design Engineers as part of a project aimed at developing what the company describes as the world’s highest-volume AI chips. CEO Elon Musk later amplified the initiative.

Tesla Korea stated that it is seeking “talented individuals to join in developing the world’s highest-level mass-produced AI chips.”

“This project aims to develop AI chip architecture that will achieve the highest production volume in the world in the future,” Tesla Korea wrote in its post on X.

As per Tesla Korea, those who wish to apply for the AI Chip Design Engineer post should email Ai_Chips@Tesla.com and include “the three most challenging technical problems you have solved.”

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Elon Musk echoed the hiring push in a separate post. “If you’re in Korea and want to work on chip design, fabrication or AI software, join Tesla!” he wrote.

The recruitment effort in South Korea comes as Tesla accelerates development of its in-house AI chips, which power its Full Self-Driving (FSD) system, Optimus humanoid robot, and data center training infrastructure.

Tesla has been steadily expanding its silicon development teams globally. In recent months, the company has posted roles in Austin and Palo Alto for silicon module process engineers across lithography, etching, and other chip fabrication disciplines, as noted in a Benzinga report.

Tesla Korea’s hiring efforts align with the company’s long-term goal of designing and producing AI chips at massive scale. Musk has previously stated that Tesla’s future AI chips could become the highest-volume AI processors in the world.

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The move also comes amid Tesla’s broader expansion into AI initiatives. The company recently committed about $2 billion into xAI as part of a Series E funding round, reinforcing its focus on artificial intelligence across vehicles, robotics, and compute infrastructure.

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SpaceX and xAI tapped by Pentagon for autonomous drone contest

The six-month competition was launched in January and is said to carry a $100 million award.

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Credit: SpaceX/X

SpaceX and its AI subsidiary xAI are reportedly competing in a new Pentagon prize challenge focused on autonomous drone swarming technology, as per a report from Bloomberg News

The six-month competition was launched in January and is said to carry a $100 million award.

Bloomberg reported that SpaceX and xAI are among a select group invited to participate in the Defense Department’s effort to develop advanced drone swarming capabilities. The goal is reportedly to create systems that can translate voice commands into digital instructions and manage fleets of autonomous drones.

Neither SpaceX, xAI, nor the Pentagon’s Defense Innovation Unit has commented on the report, and Reuters said it could not independently verify the details.

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The development follows SpaceX’s recent acquisition of xAI, which pushed the valuation of the combined companies to an impressive $1.25 trillion. The reported competition comes as SpaceX prepares for a potential initial public offering later this year.

The Pentagon has been moving to speed up drone deployment and expand domestic manufacturing capacity, while also seeking tools to counter unauthorized drone activity around airports and major public events. Large-scale gatherings scheduled this year, including the FIFA World Cup and America250 celebrations, have heightened focus on aerial security.

The reported challenge aligns with broader Defense Department investments in artificial intelligence. Last year, OpenAI, Google, Anthropic, and xAI secured Pentagon contracts worth up to $200 million each to advance AI capabilities across defense applications.

Elon Musk previously joined AI and robotics researchers in signing a 2015 open letter calling for a ban on offensive autonomous weapons. In recent years, however, Musk has spoken on X about the strengths of drone technologies in combat situations.

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