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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 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.

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Credit: xAI

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.

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“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.

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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.

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Credit: Grok Imagine

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:

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  • 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.
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Tesla is not sparing any expense in ensuring the Cybercab is safe

Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility.

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Credit: @JoeTegtmeyer/X

The Tesla Cybercab could very well be the safest taxi on the road when it is released and deployed for public use. This was, at least, hinted at by the intensive safety tests that Tesla seems to be putting the autonomous two-seater through at its Giga Texas crash test facility. 

Intensive crash tests

As per recent images from longtime Giga Texas watcher and drone operator Joe Tegtmeyer, Tesla seems to be very busy crash testing Cybercab units. Images shared by the longtime watcher showed 16 Cybercab prototypes parked near Giga Texas’ dedicated crash test facility just before the holidays. 

Tegtmeyer’s aerial photos showed the prototypes clustered outside the factory’s testing building. Some uncovered Cybercabs showed notable damage and one even had its airbags engaged. With Cybercab production expected to start in about 130 days, it appears that Tesla is very busy ensuring that its autonomous two-seater ends up becoming the safest taxi on public roads. 

Prioritizing safety

With no human driver controls, the Cybercab demands exceptional active and passive safety systems to protect occupants in any scenario. Considering Tesla’s reputation, it is then understandable that the company seems to be sparing no expense in ensuring that the Cybercab is as safe as possible.

Tesla’s focus on safety was recently highlighted when the Cybertruck achieved a Top Safety Pick+ rating from the Insurance Institute for Highway Safety (IIHS). This was a notable victory for the Cybertruck as critics have long claimed that the vehicle will be one of, if not the, most unsafe truck on the road due to its appearance. The vehicle’s Top Safety Pick+ rating, if any, simply proved that Tesla never neglects to make its cars as safe as possible, and that definitely includes the Cybercab.

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