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Tesla FSD Beta 10.69 release notes highlight better left turns, smoother driving

(Credit: Tesla)

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Tesla released FSD Beta 10.69 to the first round of testers over the weekend. Read v.10.69’s release notes below to check out the latest improvements. 

Stay in your Lanes

  • Added a new “deep lane guidance” module to the Vector Lanes neural network which fuses features extracted from the video streams with coarse map data, i.e. lane counts and lane connectivites. This architecture achieves a 44% lower error rate on lane topology compared to the previous model, enabling smoother control before lanes and their connectivities becomes visually apparent. This provides a way to make every Autopilot drive as good as someone driving their own commute, yet in a sufficiently general way that adapts for road changes.

 Nothing Like Smooth Driving

  • Improved overall driving smoothness, without sacrificing latency, through better modeling of system and actuation latency in trajectory planning. Trajectory planner now independently accounts for latency from steering commands to actual steering actuation, as well as acceleration and brake commands to actuation. This results in a trajectory that is a more accurate model of how the vehicle would drive. This allows better downstream controller tracking and smoothness while also allowing a more accurate response during harsh manevuers.
  • Increased smoothness for protected right turns by improving the association of traffic lights with slip lanes vs yield signs with slip lanes. This reduces false slowdowns when there are no relevant objects present and also improves yielding position when they are present.
  • Reduced false slowdowns near crosswalks. This was done with improved understanding of pedestrian and bicyclist intent based on their motion.
  • Enabled creeping for visibility at any intersection where objects might cross ego’s path, regardless of presence of traffic controls.
  • Improved accuracy of stopping position in critical scenarios with crossing objects, by allowing dynamic resolution in trajectory optimization to focus more on areas where finer control is essential.
  • Reduced latency when starting from a stop by accounting for lead vehicle jerk.

Chuck’s Left Turn

  • Improved unprotected left turns with more appropriate speed profile when approaching and exiting median crossover regions, in the presence of high speed cross traffic (“Chuck Cook style” unprotected left turns). This was done by allowing optimizable initial jerk, to mimic the harsh pedal press by a human, when required to go in front of high speed objects. Also improved lateral profile approaching such safety regions to allow for better pose that aligns well for exiting the region. Finally, improved interaction with objects that are entering or waiting inside the median crossover region with better modeling of their future intent.

Safety is Number 1

  • Added control for arbitrary low-speed moving volumes from Occupancy Network. This also enables finer control for more precise object shapes that cannot be easily represented by a cuboid primitive. This required predicting velocity at every 3D voxel. We may now control for slow-moving UFOs.
  • Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects.
  • Improved speed when entering highway by better handling of upcoming map speed changes, which increases the confidence of merging onto the highway.
  • Enabled faster identification of red light runners by evaluating their current kinematic state against their expected braking profile.

Tesla FSD “Brain” Improvements

  • Upgraded Occupancy Network to use video instead of images from single time step. This temporal context allows the network to be robust to temporary occlusions and enables prediction of occupancy flow. Also, improved ground truth with semantics-driven outlier rejection, hard example mining, and increasing the dataset size by 2.4x.
  • Upgraded to a new two-stage architecture to produce object kinematics (e.g. velocity, acceleration, yaw rate) where network compute is allocated O(objects) instead of O(space). This improved velocity estimates for far away crossing vehicles by 20%, while using one tenth of the compute.
  • Improved geometry error of ego-relevant lanes by 34% and crossing lanes by 21% with a full Vector Lanes neural network update. Information bottlenecks in the network architecture were eliminated by increasing the size of the per-camera feature extractors, video modules, internals of the autoregressive decoder, and by adding a hard attention mechanism which greatly improved the fine position of lanes.
  • Improved recall of animals by 34% by doubling the size of the auto-labeled training set.
  • Increased recall of forking lanes by 36% by having topological tokens participate in the attention operations of the autoregressive decoder and by increasing the loss applied to fork tokens during training.
  • Improved velocity error for pedestrians and bicyclists by 17%, especially when ego is making a turn, by improving the onboard trajectory estimation used as input to the neural network.
  • Improved recall of object detection, eliminating 26% of missing detections for far away crossing vehicles by tuning the loss function used during training and improving label quality.
  • Improved object future path prediction in scenarios with high yaw rate by incorporating yaw rate and lateral motion into the likelihood estimation. This helps with objects turning into or away from ego’s lane, especially in intersections or cut-in scenarios.

Tesla is rolling out FSD Beta v.10.69 in phases, starting with ~1,000 testers over the weekend. Once the update is rolled out for wide release, the price of FSD Beta will increase.

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

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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Cybertruck

Tesla Cybertruck chosen by Kazakhstan’s elite security force: here’s why

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Tesla Cybertruck was chosen by a Middle Eastern government agency because of its capability, safety, and other advantages that it offers over traditional pickups.

In a striking display of futuristic security technology, Kazakhstan’s State Guard Service has integrated Tesla Cybertrucks as mobile command-and-control vehicles for the Informal Summit of the Organization of Turkic States, held today in Turkistan.

The deployment, announced by Teslarati on May 14, marks one of the first known instances worldwide of the electric pickup truck being used in official state security operations.

The Cybertrucks are supporting a range of real-world tasks, including rapid response, field coordination, communications, and command functions.

Officials highlighted the vehicles’ suitability for the challenging mountainous terrain around Almaty, where superior off-road mobility allows them to navigate rugged landscapes that might challenge conventional vehicles. Their quiet electric operation enables discreet deployment, while the high onboard power output provides sustained energy for communications equipment and external devices—critical during a high-profile international gathering.

The summit brings together leaders from Turkic-speaking nations to discuss cooperation in politics, economy, and culture. Against this backdrop, the Cybertrucks stand out not only for their angular, stainless-steel exoskeleton and imposing presence but also for their practical advantages in modern security protocols.

This move underscores Kazakhstan’s push toward innovative and sustainable solutions in public safety. The Cybertruck, Tesla’s rugged all-electric pickup, was designed from the ground up for versatility, boasting impressive range, durability, and power capabilities that align well with governmental needs.

By choosing the vehicle, Kazakh authorities signal confidence in electric mobility even for demanding operational roles—potentially setting a precedent for other nations exploring green alternatives to traditional fleet vehicles.

Tesla Cybertruck too safe for even Musk’s biggest critics to ignore

As the summit unfolds on May 15, the presence of Cybertrucks symbolizes a broader shift: electric vehicles transitioning from consumer roads to critical infrastructure.

For Tesla, the development offers valuable real-world validation of the Cybertruck’s capabilities beyond civilian use. For Kazakhstan, it blends cutting-edge American engineering with national security priorities, creating a memorable visual and functional statement at this landmark regional event.

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Tesla grabs massive Las Vegas warehouse for interesting Cybercab project

Tesla quietly filed plans to build the Cybercab car wash, and on May 12, the company submitted a permit to begin renovating the “Tesla Center Cybercab Phase 2 Car Wash,” documents show.

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Credit: TechOperator | X

Tesla is beginning to construct what will be an incredibly unique project, as it is now building a 36,000-square-foot car wash just for the Cybercab in Clark County, Nevada, near Las Vegas.

Tesla quietly filed plans to build the Cybercab car wash, and on May 12, the company submitted a permit to begin renovating the “Tesla Center Cybercab Phase 2 Car Wash,” documents show.

This is not just some ordinary car wash. Instead, it’s a dedicated, high-tech maintenance hub built specifically for Tesla’s ride-hailing vehicle and the many units that will be in the fleet.

According to the permit documents, which were first spotted by MarcoRP, a Supercharger observer on X, the work involves upgrading and updating the interior and exterior of an existing 36,000-square-foot facility. Crews will construct a full car-wash enclosure, relocate tire-service equipment, and install new power raceways.

Every camera on a Tesla Cybercab must stay clean, and without a human driver to perform manual maintenance on the vehicle, this Cybercab-specific car wash will be crucial in keeping the fleet operational, safe, and effective.

Tesla has spent years perfecting unsupervised FSD, and the Cybercab – unveiled last year as a driverless, two-seater purpose-built for ride-hailing – is the physical embodiment of that vision. Industry skeptics have long questioned how a massive Robotaxi network could scale without drivers handling basic upkeep.

Tesla just answered them with a permit filing. Sources close to the project suggest this could be the first of several such hubs, with whispers of similar plans already surfacing in Texas.

A purpose-built Robotaxi wash station means fleets can cycle vehicles through cleaning, charging, and minor servicing at lightning speed with almost no human intervention. Optimus robots could eventually handle the physical work, turning the entire operation into a lights-out, 24/7 machine.

Las Vegas, with its endless tourist traffic and wide-open roads, is the perfect proving ground. Imagine stepping out of a gleaming Cybercab after a night on the Strip, knowing the same vehicle will be sparkling clean and ready for the next rider within minutes.

California hits Tesla Cybercab and Robotaxi driverless cars with new law

Critics who claimed Robotaxis would get filthy and unreliable now look shortsighted. However, it will be interesting to see how many of these types of facilities the company establishes, especially as it plans for the Robotaxi fleet to be available everywhere.

If the permit moves forward as expected, Las Vegas could witness the first large-scale, fully autonomous taxi operation complete with its own cleaning infrastructure. As soon as Tesla solves wireless charging, we’re looking at a very capable and potentially fully autonomous ride-sharing business from A to Z.

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Tesla puts Giga Berlin in Plaid Mode with new massive investment

The facility, Tesla’s first in Europe, opened in 2022 and has become a cornerstone for Model Y production and, increasingly, in-house battery manufacturing. Recent announcements highlight a dual focus on scaling vehicle output and advancing vertical integration through 4680 battery cells.

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Credit: Tesla

Tesla is pushing forward with significant upgrades at its Gigafactory Berlin-Brandenburg in Grünheide, Germany, signaling renewed confidence in its European operations despite past market challenges.

The facility, Tesla’s first in Europe, opened in 2022 and has become a cornerstone for Model Y production and, increasingly, in-house battery manufacturing. Recent announcements highlight a dual focus on scaling vehicle output and advancing vertical integration through 4680 battery cells.

In April, plant manager André Thierig announced a 20 percent increase in Model Y production starting in July, following a record Q1 output of more than 61,000 vehicles. To support the ramp-up, Tesla plans to hire approximately 1,000 new employees beginning in May and convert 500 temporary workers to permanent positions.

The move is expected to lift weekly production significantly, addressing rebounding demand in Europe after a challenging 2025.

The expansion builds on earlier progress. In 2025, Tesla secured partial approvals to add roughly 2 million square feet of factory space, raising potential annual vehicle capacity from around 500,000 toward 800,000 units, with longer-term ambitions approaching one million vehicles per year. Logistical improvements, new infrastructure, and battery-related facilities are already underway on company-owned land.

Battery production is the latest major focus. On May 12, Thierig revealed an additional $250 million investment in the on-site cell factory. This more than doubles the planned 4680 battery cell capacity to 18 gigawatt-hours annually—up from the 8 GWh target set in December 2025—while creating over 1,500 new battery-related jobs.

Total cell investments at the site now exceed previous figures, bringing the factory closer to full vertical integration: cells, packs, and vehicles produced under one roof. Tesla describes this as unique in Europe and a step toward stronger supply chain resilience.

The plans come amid regulatory and community hurdles. Earlier expansion proposals faced protests over environmental concerns and water usage, leading to phased approvals beginning in 2024. Tesla has navigated these by emphasizing sustainable practices and economic benefits, including thousands of local jobs in Brandenburg.

With nearly 12,000 employees already on site and production steadily climbing, Gigafactory Berlin is poised for growth. The combined vehicle and battery expansions position the plant as a key hub for Tesla’s European ambitions, potentially making it one of the continent’s largest manufacturing complexes if local support continues.

As EV demand recovers, these investments underscore Tesla’s commitment to scaling efficiently in Germany while addressing regional supply chain needs.

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