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Mercedes launches purpose built operating system for vehicles

Credit: Mercedes-Benz

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Mercedes has announced it will launch its in-vehicle operating system, MB.OS.

As vehicle software has become increasingly important in the automotive industry, automakers have been forced to invest more in software development and upkeep. This includes Mercedes, who invested millions into a new software development wing just last year. Now the results of that investment are becoming apparent, as Mercedes announced that it will launch its own vehicle operating system, MB.OS.

There are numerous changes that Mercedes is looking to put in place with its newest software offering, but there are some more critical alterations. Foremost, with Mercedes’ dedication to autonomous driving, MB.OS is set to help the premium German brand achieve its goal of level 3 autonomy at a max speed of 80mph.

“At Mercedes-Benz, we are dedicated to building the world’s most desirable cars,” says Ola Källenius, Mercedes-Benz CEO. “Accordingly, we made the decision to be the architects of our own operating system – a unique chip-to-cloud architecture that leverages its full access to our vehicles’ hardware and software components. By combining this in-house expertise with a selection of world-class partners, we will create an outstanding customer experience, from driving assistance, navigation, and entertainment all the way to integrated charging.”

Another big addition to MB.OS is a partnership with Google. Integrating products like Google Maps and other purpose-built features will hopefully make phone integration better than ever. And while this partnership is undoubtedly the most prominent, Mercedes states it will not be the last within its MB.OS project.

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More generally, the premium German automaker stated that its new infotainment system, bringing “the best of music, video, and gaming,” will be far faster and easier to use than its predecessor and will attempt to be market-leading.

The final big change will be in implementing “software-enabled revenues.” While Mercedes didn’t expressly define what these systems would look like, they will focus on selling products or services to customers via the in-car entertainment system. However, it should be noted that Mercedes has faced its fair share of backlash for selling vehicle features as a service.

MB.OS will first appear in Mercedes vehicles mid-decade alongside the company’s new vehicle architecture, MMA.

With vehicle software becoming a significant part of the driving experience and determining factor for when customers buy their vehicles, I would not be surprised if numerous brands follow Mercedes in introducing their own vehicle software. Volvo has already worked with Google on its in-car experience, and even entry-level brands like Toyota and General Motors have shown an aptitude for software investment. Hopefully, this added interest and investment from Mercedes will also spark more legacy makers to improve.

What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!

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Will is an auto enthusiast, a gear head, and an EV enthusiast above all. From racing, to industry data, to the most advanced EV tech on earth, he now covers it at Teslarati.

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Tesla owners show off improvements with new Full Self-Driving v14 rollout

Some of the big things that Tesla faced head-on with the development and release of v14 were navigating in parking garages and handling parking after arriving at a destination.

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Credit: Tesla Europe & Middle East/X

Tesla owners with access to the company’s Full Self-Driving new version, v14, which rolled out on Tuesday morning, are showcasing some of the very impressive improvements that have arrived.

CEO Elon Musk called v14 “sentient” a few weeks ahead of its rollout, claiming the newest iteration of the company’s Full Self-Driving platform would be the most accurate to date.

Tesla FSD (Supervised) V14.1 with Robotaxi-style dropoffs is here

It was obvious this narrative had Tesla owners keeping their expectations high, as there were very evidently things that needed to be improved upon that were present in v13. I wrote about several improvements I was hoping to see, and based on the release notes for v14, Tesla did have these things in the works already.

Some of the big things that Tesla faced head-on with the development and release of v14 were navigating in parking garages and handling parking after arriving at a destination.

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Tesla said it was working to increase the capabilities of Summon within parking garages, as many owners believe that is where it would be the most beneficial.

While that does not appear to be part of this initial v14 rollout, it does seem Tesla is focused on improving the suite’s ability to navigate through these garages, including stopping for a ticket to enter the facility, finding a spot, and parking in an appropriate space.

It was evident this was a huge improvement based on one example from an owner who received v14:

If you look closely, you will even see the car shift slightly to the right when it arrives at the ticketing station, making it easier for the driver to hand over their ticket and payment. It then moves back out to the right when leaving to return to the center of the lane. It’s very intuitive.

Additionally, it appears to be more accurate when parking, thanks to improvements that enable owners to select the type of parking upon arrival at a destination.

In the v14.1 release notes, Tesla said that it has 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.”

One owner chose to navigate home and chose a garage to park in. Full Self-Driving performed it without any issues:

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These are just two evident improvements so far, and there are likely many more on the way. The changes and fixes will be tracked by anyone with access to FSD v14 in the coming weeks.

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Tesla Optimus steals the show during TRON: ARES premiere

Now that kung-fu Optimus demonstration makes sense.

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Credit: Tesla Optimus/X

Just a few days ago, Elon Musk shared a video of Tesla Optimus demonstrating some kung fu moves with a human partner. The video was impressive, though some were confused about why the Optimus team was busying itself with what appeared to be a cool but frivolous demonstration. 

With the premiere of TRON: ARES, we now know that Optimus’ kung fu demonstration was part of the robot’s preparations for the red carpet. 

Optimus “starts a fight”

As noted by X Business on its official account on the social media platform, the TRON: ARES red carpet world premiere was a showcase of today’s AI-powered technologies. With this in mind, xAI, X, Walt Disney, and Tesla collaborated to provide attendees with an immersive experience on real-world AI. This included Optimus engaging with attendees, and even distributing theater concessions. 

But one black and red painted Optimus unit definitely stole the show. The humanoid robot, in front of several attendees, attempted to “pick a fight” with Jared Leto, who starts in the movie alongside Greta Lee, Evan Peters, and Jeff Bridges. As could be seen in the video of Optimus, the robot’s moves in the red carpet were similar to the kung fu demonstration that Elon Musk showcased last week. 

TRON: ARES

Monique Pintarelli, Head of Americas at X, shared some insights about the event, which ended up being a collaboration of sorts between several Elon Musk-led companies. 

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“This partnership with Disney lets fans and stars experience the world of TRON like never before – turning the red carpet event into a collision between the real world and AI. By leveraging X’s unparalleled real-time engagement and xAI’s cutting-edge technology alongside Tesla’s Optimus robots, we’re creating shared, immersive experiences that redefine storytelling,” the X executive noted.

TRON: ARES releases on U.S. theaters on October 10, 2025. 

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Tesla FSD (Supervised) V14.1 with Robotaxi-style dropoffs is here

This represents FSD’s most significant update in nearly a year.

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Credit: Sawyer Merritt/X

Tesla has started the rollout of Full Self-Driving (Supervised) V14.1, the advanced driver-assist system’s most significant update in nearly a year. The release introduces vision-based navigation for real-time detour handling and a new “Arrival Options” feature that simulates Robotaxi-style drop-offs.

New Tesla Vision-based features

With Version 14.1, Tesla has integrated navigation and routing directly into its vision-based neural network, enabling the system to respond to scenarios such as blocked roads or closures in real time. The update also enhances emergency vehicle detection, allowing the car to pull over or yield when police, fire, or ambulances are nearby.

Other improvements include refined responses to debris, school buses, and lane cut-ins, as well as smoother handling of unprotected turns and gated entries. The update also adds a Robotaxi-style automatic camera-cleaning system. Tesla also promises improved fault recovery for greater reliability during degraded system operation.

New Speed Profiles and other features

Drivers can now personalize FSD’s behavior more precisely through new Speed Profiles. A new “Sloth” mode has joined the lineup, offering a more conservative lane and speed selection than “Chill.” Preferences for parking and arrival positions are saved per destination, while the system’s reasoning model automatically recommends several options for each route.

Users can start FSD from a single tap, adjust settings from the central visualization, and expect fewer driver “nags,” according to Elon Musk. The CEO noted that Version 14 features a 10x higher parameter count and said it “feels sentient” compared to earlier builds. While it’s still a supervised system, unlike the Austin Robotaxi pilot, FSD 14.1 seems to be a key milestone toward the refinement of Tesla’s autonomous driving efforts.

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FSD (Supervised) V14.1 release notes

Following are the release notes for FSD (Supervised) V14.1:

FSD(Supervised) v14.1 includes:

• 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.

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• 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.

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• Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.

• Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!

Upcoming Improvements:

• Overall smoothness and sentience

• Parking spot selection and parking quality

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• You can now select an arrival option such as Parking Lot, Street, Driveway, Parking Garage and Curbside for Robotaxi-style drop offs.

• Your preferences for arrival options and preferred parking positions are persisted for each destination.

• Our reasoning model will assess the suitable options for your destination and pick an intuitive default.

Speed Profiles:

FSD (Supervised) will now determine the appropriate speed based on a mix of driver profile, speed limit, and surrounding traffic:

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• Introduced new Speed Profile SLOTH, which comes with lower speeds & more conservative lane selection than CHILL.

• Driver profile now has a stronger impact on behavior. The more assertive the profile, the higher the max speed.

• Right scroll-wheel up/down now adjusts Speed Profile setting rather than your precise max speed offset selection in mph/kph.

UI Improvements:

• Start Self-Driving with a tap of the touchscreen from Park, or any time during your drive.

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• Adjust settings like the Speed Profile and Arrival Options directly from the Autopilot visualization on the center display.

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