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Tesla FSD Beta V11.3 starts shipping to employees (Release Notes)

Credit: Drive in EV/Twitter

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The release notes for Tesla FSD Beta V11.3 have been shared online. Observers from the electric vehicle community suggest that Tesla Full Self-Driving Beta 11.3 is rolling out to the company’s employee FSD Beta testers, at least for now. 

The following are Tesla’s FSD Beta V11.3 release notes

  • Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. FSD Beta’s multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making.
  • Added voice drive-notes. After an intervention, you can now send Tesla an anonymous voice message describing your experience to help improve Autopilot.
  • Expanded Automatic Emergency Braking (AEB) to handle vehicles that cross ego’s path. This includes cases where other vehicles run their red light or turn across ego’s path, stealing the right-of-way.
  • Replay of previous collisions of this type suggests that 49% of the events would be mitigated by the new behavior. This improvement is now active in both manual driving and autopilot operation.
  • Improved autopilot reaction time to red light runners and stop sign runners by 500ms, by increased reliance on object’s instantaneous kinematics along with trajectory estimates.
  • Added a long-range highway lanes network to enable earlier response to blocked lanes and high curvature.
  • Reduced goal pose prediction error for candidate trajectory neural network by 40% and reduced runtime by 3X. This was achieved by improving the dataset using heavier and more robust offline optimization, increasing the size of this improved dataset by 4X, and implementing a better architecture and feature space.
  • Improved occupancy network detections by oversampling on 180K challenging videos including rain reflections, road debris, and high curvature.
  • Improved recall for close-by cut-in cases by 20% by adding 40k autolabeled fleet clips of this scenario to the dataset. Also improved handling of cut-in cases by improved modeling of their motion into ego’s lane, leveraging the same for smoother lateral and longitudinal control for cut-in objects.
  • Added “lane guidance module and perceptual loss to the Road Edges and Lines network, improving the absolute recall of lines by 6% and the absolute recall of road edges by 7%.
  • Improved overall geometry and stability of lane predictions by updating the “lane guidance” module representation with information relevant to predicting crossing and oncoming lanes.
  • Improved handling through high speed and high curvature scenarios by offsetting towards inner lane lines. 
  • Improved lane changes, including: earlier detection and handling for simultaneous lane changes, better gap selection when approaching deadlines, better integration between speed-based and nav-based lane change decisions and more differentiation between the FSD driving profiles with respect to speed lane changes.
  • Improved longitudinal control response smoothness when following lead vehicles by better modeling the possible effect of lead vehicles’ brake lights on their future speed profiles.
  • Improved detection of rare objects by 18% and reduced the depth error to large trucks by 9%, primarily from migrating to more densely supervised autolabeled datasets.
  • Improved semantic detections for school busses by 12% and vehicles transitioning from stationary-to-driving by 15%. This was achieved by improving dataset label accuracy and increasing dataset size by 5%.
  • Improved decision making at crosswalks by leveraging neural network based ego trajectory estimation in place of approximated kinematic models.
  • Improved reliability and smoothness of merge control, by deprecating legacy merge region tasks in favor of merge topologies derived from vector lanes.
  • Unlocked longer fleet telemetry clips (by up to 26%) by balancing compressed IPC buffers and optimized write scheduling across twin SOCs.

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Several longtime FSD Beta testers have pointed out some key improvements that would likely be very appreciated by users in V11.3. These include the systems’ improved handling through high speed and high curvature scenarios, as well as improvements to Automatic Emergency Braking (AEB). With the improvements in place, FSD Beta V11.3 would behave closer to a proper human driver. 

Comments from longtime Tesla FSD Beta testers also suggest that V11.3 is still only being released for company employees for now. Considering Tesla’s past updates, it would not be surprising if the greater FSD Beta fleet gets the V11.3 update in the coming week or so. This is, of course, unless V11.3 ends up going the way of FSD Beta V11, which was released to employees in November but not to the greater fleet of FSD Beta testers. 

The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla gets a massive order for the Semi: 370 units and $100M

WattEV, a leading provider of electric freight operations and charging infrastructure in the United States, has announced one of the largest deployments of electric Class 8 trucks in California history: an order for 370 Tesla Semi vehicles.

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Credit: Tesla

Tesla just got a massive order for the Semi, and it is its largest by a long shot.

WattEV, a leading provider of electric freight operations and charging infrastructure in the United States, has announced one of the largest deployments of electric Class 8 trucks in California history: an order for 370 Tesla Semis.

Valued at approximately $100 million, this marks the state’s biggest single electric truck order to date and signals accelerating momentum for zero-emission long-haul freight.

Credit: Tesla

Deliveries are set to begin with the first 50 Tesla Semis in 2026, with the full fleet operational by the end of 2027. More than 300 of these trucks will support a joint program with the Port of Oakland, helping electrify drayage and regional freight routes. The initiative aligns with California’s ambitious goals to transition to carbon-neutral freight operations.

Salim Youssefzadeh, CEO of WattEV, said at the annual ACT Expo industry event that the Semi was the easiest choice:

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“We selected the Tesla Semi based on cost, performance, and availability after issuing a public request for proposals…With the Tesla Semi now entering mass production and drawing strong reviews from fleet operators nationwide, WattEV’s vertically integrated model – combining vehicle deployment, megawatt-class charging infrastructure, and full-service leasing – offers a turn-key path for carriers without any capital risk.”

Critical to the rollout are new Megawatt Charging System (MCS) hubs in Oakland, Fresno, Stockton, and Sacramento. These stations will deliver up to 300 miles of range in roughly 30 minutes—comparable to a traditional diesel fill-up. The Oakland depot, where WattEV recently broke ground, will serve as a cornerstone for northern and central California corridors, connecting ports to inland hubs and beyond.

This deployment builds on WattEV’s existing experience. The company has already logged millions of electric miles in Southern California, including early Tesla Semi deployments at the Ports of Long Beach and Los Angeles. By combining high-efficiency electric trucks with strategically placed fast-charging depots, WattEV aims to prove that battery-electric long-haul trucking can match—or exceed—diesel economics while slashing emissions.

The order arrives as Tesla ramps up Semi production at its Nevada factory, targeting higher volumes in 2026. Fleet operators nationwide have praised the Semi’s real-world performance, including strong torque, low operating costs, and advanced safety features. For California, the project supports air quality improvements around ports and highways while demonstrating scalable infrastructure for heavy-duty electrification.

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Industry observers see this as a pivotal step toward broader adoption. With diesel trucks facing rising fuel and regulatory costs, turnkey electric solutions like WattEV’s could accelerate the shift. As the first 50 Semis hit the road in 2026, they will not only move freight but also help build the charging network that paves the way for even larger fleets.

This landmark order underscores Tesla’s growing footprint in commercial trucking and California’s leadership in sustainable transportation. For WattEV and its partners, it’s more than a vehicle purchase—it’s the foundation of a zero-emission freight network connecting Northern and Central California.

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Tesla begins factoring international designs in Full Self-Driving visualization

Tesla has begun incorporating region-specific vehicle designs into its Full Self-Driving (FSD) visualization system, marking a quiet but meaningful step toward global readiness. In software update 2026.14, released as part of the Spring Update, European Tesla owners are now seeing flat-fronted, cab-over European-style semi-trucks rendered accurately on their center displays.

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@norbertcala on X via Not a Tesla App

Tesla has begun factoring international designs into its Full Self-Driving (Supervised) visualizations, marking a tremendous step in how the company plans to roll out its driver assistance tech in areas outside North America.

Tesla has begun incorporating region-specific vehicle designs into its Full Self-Driving (FSD) visualization system, marking a quiet but meaningful step toward global readiness. In software update 2026.14, released as part of the Spring Update, European Tesla owners are now seeing flat-fronted, cab-over European-style semi-trucks rendered accurately on their center displays.

The change, first spotted by Not a Tesla App, adds a second 3D model alongside the traditional North American long-nose semi-trucks that have been standard until now. Vehicles can detect and display both styles depending on what’s in front of them, and the feature requires no FSD subscription—every Tesla owner in Europe sees it immediately.

The European semi-truck visualization was actually added to the vehicle software back in October alongside roughly fifteen new visual assets.

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Tesla Full Self-Driving gets first-ever European approval

Tesla held it in reserve, activating it only once fleet data confirmed the AI could recognize these trucks with high confidence. This mirrors recent rollouts for horses and golf carts, where Tesla similarly waited for reliable detection before enabling the graphics. The result is a more realistic on-screen representation tailored to local roads, where cab-over designs dominate heavy transport.

The significance of this update extends far beyond a simple graphics tweak, which is really what people need to be paying attention to. These small, incremental steps forward continue to show Tesla’s intent for global expansion.

For the first time, Tesla is explicitly factoring international vehicle designs into its visualization engine, signaling a deliberate push to make FSD feel native in international markets.

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In Europe, where cab-over semis are commonplace, seeing an accurate rendering builds immediate driver trust—the critical bridge between the car’s AI perception and the human behind the wheel. Accurate visualizations reinforce that the system truly understands its surroundings, reducing range anxiety and skepticism that have slowed autonomous adoption abroad.

Regulators in the EU have repeatedly emphasized human-AI transparency; by customizing visuals to match local reality, Tesla strengthens its case for broader FSD approvals and smoother regulatory reviews.

This move also highlights Tesla’s data-driven engineering philosophy. Rather than rushing generic models worldwide, the company is leveraging its global fleet to learn regional nuances before flipping the switch.

It accelerates FSD’s international expansion while improving safety—misidentified vehicles could erode confidence or, in edge cases, affect decision-making. For a company aiming to deploy robotaxis and unsupervised FSD globally, tailoring visualizations to European, Asian, or other markets is no longer optional; it’s foundational.

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Early European owners report the change feels more intuitive, making the car’s “mind” easier to read in daily traffic.

As Tesla continues enabling the remaining visual assets added last year, the pattern is clear: localization is now baked into the FSD roadmap. What began as a small graphics update in Europe could soon appear in other regions, turning the visualization display into a truly worldwide language of autonomy.

With this step, Tesla isn’t just showing trucks differently—it’s proving it’s serious about making FSD work everywhere, one culturally accurate pixel at a time.

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Tesla adds new in-app feature to solve the used EV market’s biggest headache

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Teslas Supercharging
Credit: Tesla

Tesla has quietly rolled out one of its most practical software updates yet — and it could add real dollars to every used Model 3, Y, S, and X on the road.

Starting with the latest Tesla app version, owners now receive an official “Certification of Repaired HV Battery” whenever Tesla performs a major high-voltage battery repair or full replacement. The digital certificate appears directly in the vehicle’s Service History tab inside the Tesla app.

It’s permanent, verifiable, and downloadable as a PDF, so sellers can hand it over to buyers in seconds.

For years, the used EV market has suffered from one glaring problem: nobody could prove what happened to the battery.

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Service invoices often vanish when a car changes hands. Third-party battery-health scans are expensive and inconsistent. Buyers, staring at a car with 80,000 miles and an 8-year warranty ticking down, would negotiate hard — or walk away entirely — because the battery is the single most expensive part of any Tesla.

That uncertainty routinely shaved thousands off resale values and slowed the entire secondhand market.

Now Tesla has eliminated the guesswork. The new certificate, which was spotted by Tesla App Updates, logs exactly what work was done, when, and by whom. It lives inside the car’s digital profile forever, exactly where any future owner will look. No more digging through old emails or hoping the previous owner kept paperwork.

The outlet describes why the update is so important:

  • Official Digital Certificates: The string “Certification of Repaired HV Battery” confirms that if your vehicle undergoes a major battery repair or replacement, Tesla will now issue an official, verifiable digital certificate documenting the work.
  • Service History Integration: Strings such as viewRepairedBatteryCert and repairedBatteryCertId indicate that this document won’t be lost in an old email thread. It will be permanently anchored to your vehicle’s profile inside the app’s Service History tab.
  • Easy Exporting: The service_history_repaired_battery_cert_download_fail error state indicates you will be able to download this certificate directly to your phone as a file (likely a PDF) to share with others.

Sellers who have already replaced packs under warranty are especially excited; they can now prove the vehicle received a fresh Tesla battery without any gray-area questions.

The timing couldn’t be better. As more Teslas roll off 8-year/100,000- or 120,000-mile battery warranties, the used market is exploding. Lenders, insurers, and even auction houses have quietly asked for better battery documentation for years. Tesla’s certificate hands it to them on a silver platter.

For current owners, the feature adds peace of mind and protects long-term value. For buyers, it removes the single biggest risk in any used EV purchase. And for Tesla itself, it quietly strengthens the entire ownership ecosystem — making vehicles more liquid, more desirable, and more valuable over time.

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In an industry obsessed with range numbers and 0-60 times, Tesla just proved that sometimes the biggest innovation is a simple line in the Service History tab. One small certificate, one giant step for used-EV confidence.

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