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Tesla MCU1 to MCU2 retrofit and FSD upgrade insights shared by Model S owner

2017 Tesla Model S. (Credit: YouTube | Zubair Hoque)

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Tesla recently started offering the option of upgrading the company’s older MCU1 units to an MCU2, which provides access to new features such as Sentry Mode and Tesla Theater. The process involved in this upgrade was recently shared by an owner of a 2017 Tesla Model S, who recently opted to purchase the MCU2 retrofit together with a Hardware 3 update.

Akikiki of the Tesla Motors Club forum gave details of the experience and the changes in his vehicle’s performance and features thanks to the hardware upgrades. The addition of MCU2 and Hardware 3 gave the Model S new features from the Full Self-Driving (FSD) suite’s Navigate on Autopilot feature, as well as the vehicle’s capability to visualize traffic lights, stop signs, and on-road markings.

The 2017 Model S “now has visualization that includes traffic lights, showing red, changing to green at the intersection,” Akikiki wrote. “As I drove under the light, they got larger showing green, until they disappeared as I went under them.”

2017 Tesla Model S showing Driving Visualizations thanks to an HW3 Retrofit. (Credit: Tesla Motors Club | Akikiki)

The installation of the HW3 unit required for a recalibration of the Model S’ Autopilot system. The vehicle alerted Akikiki with a message on the vehicle’s Instrument Cluster (IC), stating, “CALIBRATION IN PROCESS.” The recalibration of Autopilot took ten miles total and allowed the driver to operate with Navigate on Autopilot, allowing the new visualizations to appear. The vehicle’s lane centering and steadiness while operating on Autopilot were reportedly improved with Hardware 3 installed.

Additionally, the Model S gained the ability to operate both Dashcam and Sentry Mode, both of which have been subjected to recent updates as recorded clips from both features can soon be viewed within the vehicle. Watching recorded clips in the car was previously not possible, but CEO Elon Musk and his team of engineers added the function with a recent update.

2017 Tesla Model S with HW3 retrofit recalibrating the vehicle’s Autopilot system. (Credit: Tesla Motors Club | Akikiki)

Additional features included a new WiFi card in the MCU2 that supports both 2.4 and 5GHz internet speeds, along with the vehicle’s internet browser, Tesla Theater, and Tesla Arcade.

The invoice states that the upgraded features of the Model S required Akikiki to pay a total of $2,500, all of which can be attributed to the MCU2 upgrade. The HW3 upgrade was free of charge because Akikiki purchased the FSD suite, qualifying him for a free HW3 retrofit, as per Elon Musk’s tweet back in October 2018.

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Initially, Akikiki considered merely replacing the MCU1 chip, but he found that the upgrade would be just $1,000 less than the full MCU2 upgrade. “Although under warranty, the MCUs eMMC would still have the same size chip and would likely have another short life,” he said. “Out of warranty MCU1 repair would cost by today’s cost at least $1700+ including Tax. MCU2 cost is only $1,000 more than the MCU1 replacement and, in my opinion, is worth double that difference for longer life, better performance of AP and NAV plus the addition of Tesla Dashcam and Sentry.”

Older Tesla vehicles are being upgraded, so owners can experience the newest pieces of the company’s technology without having to buy a whole new car. For the Model S owner, his 2017 sedan now runs on the same hardware that Tesla’s latest vehicles operate on, giving it full range to drive and maneuver with the help of the company’s FSD suite. Not only does this increase the value of an older car immediately for owners, but it also contributes to safer driving conditions for Tesla owners and other vehicles on the road.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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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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