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Tesla's Elon Musk shares MCU1 retrofit target timeframe, estimates $2k upgrade cost

Tesla Model touchscreen MCU maps [Credit: Tesla]

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Elon Musk has provided new details about Tesla’s Media Control Unit (MCU) retrofits for vehicles that are equipped with older infotainment systems. According to the CEO, MCU1 to MCU2 retrofits may start in a few months, though he does not personally recommend it, especially considering its estimated $2,000 cost. Musk has instead suggested that Tesla will release an update to older cars that can optimize the performance of their existing MCUs.

Musk’s recent statements were shared on Twitter while the CEO was interacting with Tesla owners, some of whom owned MCU1-equipped vehicles. The limitations of the older hardware have become more prominent over time, particularly as Tesla rolled out media-heavy features such as the Tesla Theater and the Tesla Arcade. Similar to older hardware in mobile devices, MCU1 vehicles have become slower compared to the company’s newer vehicles like the Raven Model S and X, as well as the Model 3.

Elon Musk has previously stated that MCU1 retrofits would be offered to owners whose vehicles are still equipped with older hardware. The CEO confirmed this following the initial rollout of MCU2 vehicles, and the idea was reiterated after the release of the company’s new Tesla Arcade titles. That being said, a number of Tesla owners have been informed by local service centers that an MCU1 to MCU2 retrofit was not possible.

Tesla Infotainment Upgrade

For the uninitiated, Tesla’s MCU1 is equipped with an Nvidia Tegra 3 processor, which is capable but a tad slower than its newer sibling. Meanwhile, the MCU2 runs on an Intel Atom E800 series chip and comes with a faster browser. The unit also renders videos with sound, giving it the capability of running new features such as the Tesla Theater, which includes video streaming apps such as Netflix and YouTube, as well as video games in Tesla Arcade. All Tesla Model 3s run on MCU 2, as well as Model S and Model X units purchased after March 2018. Customers who bought their Model S and X prior to March 2018 use the MCU1.

Many Tesla owners whose vehicles are equipped with MCU1 have been clamoring for an update to avail of features only enjoyed by those using the newer system. Tesla has not left those on MCU1 in the dark and has rolled out several updates to improve the performance of the older infotainment systems. That being said, the gap between the actual capabilities of Tesla’s MCU1 hardware and its MCU2 features such are growing, and it has pretty much reached the point where the infotainment systems of older vehicles are significantly slower than those in newer cars.

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In a way, Elon Musk’s recent statements hint that Tesla’s current priority is the rollout of its Hardware 3, which is essential for its Full Self-Driving initiatives. Retrofits for HW2.5 vehicles have already begun, and HW2 vehicles are expected to follow soon. HW3 is Tesla’s custom-designed computer that replaces the old Nvidia computer used for HW 2.5. As noted by Tesla during its Autonomy Day presentation, Hardware 3 was specifically built to achieve true Full Self-Driving capabilities and can enhance the electric car’s processing capability by as much as 1,000 percent.

Nevertheless, it would be wise for Tesla to start rolling out its MCU1 retrofits for older vehicles, even if it’s later than expected. Considering that Tesla owners have shown a willingness to pay for the retrofit, and the CEO himself has confirmed that the upgrade is possible, it is in both Tesla and its customers’ best interest to make sure the vast majority of its fleet are able to enjoy the best that the company has to offer — even if it’s just for infotainment purposes.

A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

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SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

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Tesla adds new Supercharger feature for a better idea of what to expect

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

 

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