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Tesla FSD Beta 10.69 release notes highlight better left turns, smoother driving
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.
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Tesla has officially revealed its 2026 Summer Update, which comes with a variety of crazy new features, including Navigation fixes that owners have been wanting for months.
Tesla routinely releases a larger update with the Spring, Summer, Fall, and Winter updates, where it ships a variety of new features, bug fixes, and other additions to customer cars.
The 2026 Spring Update featured things like “Hey Grok” voice assistance, a redesigned self-driving app, Unreal Engine visual upgrades, and more.
🚨 TESLA’S SUMMER UPDATE FOR 2026 IS HERE:
Featuring:
✅ Self-Driving Stats in Mobile App
✅ Caraoke with Scoring
✅ Automatic Navigation
✅ Preferred Routes
✅ Set Arrival Energy from Mobile App
✅ Send Custom Wraps from Mobile App
✅ Rear Display Lock
✅ Other Improvements
🔌… https://t.co/C9IW3egEhH
— TESLARATI (@Teslarati) July 21, 2026
Tesla’s Summer Release has about ten new features; we’ll show you each and detail them below:
New Grok Voice Commands
“Grok can now make phone calls, search and play music, adjust climate, open the glovebox, and answer questions about your Tesla.”
Self-Driving Stats in Mobile App
“View and share self-driving stats from the mobile app.”
Caraoke With Scoring
“Caraoke now scores your singing while in Park. High scores are saved to your Tesla profile.”
Automatic Navigation
“Automatic Navigation now adapts to your routine.
In addition to Home, Work, and upcoming calendar events, your vehicle can now suggest and route to places you visit regularly – like a school drop-off on the way to work, or the gym on the way home.”
Preferred Routes
“For a more personalized experience, navigation now prioritizes routes that you’ve taken before”
Set Arrival Energy from Mobile App
“Set your desired Arrival Energy from your phone.”
Send Custom Wraps from Mobile App
“Skip the USB drive and upload a custom wrap of your car from the mobile app. Instructions for creating a custom wrap here: https://github.com/teslamotors/custom-wraps.”
Rear Display Lock
“Kids can watch content on the rear screen, but only the front row can control it through the rear screen app.”
Other Improvements
- Find Superchargers by name when searching for a destination
- Add Apple Music songs to queue from search and artist page
- Set your preferred zoom level for the Self-Driving visualization
- Intro animations for new Model 3 and Y
Tesla’s reason for Starlink integration on Cybercab might surprise you, as the company’s Head of AI, Ashok Elluswamy, finally shed some light on the reason they are putting a satellite internet terminal on its ride-hailing-geared vehicle.
On Monday, Tesla officially confirmed that it would integrate Starlink V5 terminals into Cybercab vehicles, something many Tesla fans had figured the company would do, as the vehicle is primarily geared toward giving rides without any passenger intervention.
Starlink V5 directly integrated in Cybercab pic.twitter.com/FxzTtzjB6I
— Tesla (@Tesla) July 20, 2026
The ability to access the internet would allow riders to work or play in the car with their devices. It seemed like a more-than-reasonable feature to add to the Cybercab, which made its way off the production lines for the first time earlier this year.
Tesla reveals first vehicle model to receive Starlink integration
However, the move is not for the rider, as Elluswamy confirmed on Monday night. Instead, it’s actually for Tesla to be able to have a constant connection to the cars in the Robotaxi fleet so it can troubleshoot issues, contact riders, or resolve other issues.
Elluswamy said:
“It is still not required for safe operation of the vehicle. Connectivity is primarily meant for navigation, customer service and, in general, fleet management.”
It is still not required for safe operation of the vehicle. Connectivity is primarily meant for navigation, customer service and, in general, fleet management.
— Ashok Elluswamy (@aelluswamy) July 20, 2026
Many initially assumed the option of constant connectivity would be enabled on the Cybercab for passenger entertainment or work. With the Cybercab, passengers won’t be doing anything but enjoying the ride, so it seemed more than logical that they would be hanging out with Starlink internet access as an amenity.
However, Tesla’s primary concern with Robotaxi is safety, and nailing these first unsupervised rides is a crucial step to setting a good narrative on how effective driverless transportation can be.
Being able to get in touch with passengers or a vehicle if something is wrong is a crucial part of the overall experience, and preventative measures are being taken by Tesla to ensure a smooth process, even in the worst-case.
Tesla has expanded its Robotaxi program in Florida to include two new cities: Tampa and Orlando.
This marks the second and third cities to be added to the company’s available locations for autonomous ride-hailing in the Sunshine State, joining Miami, which was the first Florida city to offer Robotaxi rides.
Tesla announced the addition of Orlando and Tampa to the Robotaxi program on Tuesday morning. The cities now join Austin, Dallas, Houston, Miami, and the San Francisco Bay Area as locations where Tesla can operate its Robotaxi platform:
Robotaxi now in Tampa & Orlando! pic.twitter.com/fYtmXgJq3O
— Tesla Robotaxi (@robotaxi) July 21, 2026
These rides are unsupervised, as AI Head Ashok Elluswamy confirmed the suite in Florida is operating without safety drivers or anyone within the cabin to assist with operation.
Orlando Tesla Robotaxi Operation
The geofence in Orlando covers a prominent irregular shaded zone on the map, roughly 4-6 miles across in key dimensions, so it likely measures somewhere between 25 and 45 square miles, which is comparable to other early Tesla launches in other cities.
It encompasses central and southern areas bounded by major highways including SR-417 and SR-528, including parts of the Orlando metro core, tourism-adjacent zones, and residential/commercial districts. This represents an initial targeted rollout in a tourist-heavy region, positioned for quick expansion via Tesla’s software updates.
Tampa Tesla Robotaxi Operation
In Tampa, the shape of the geofence is a shaded polygon covering key neighborhoods, explicitly including West Tampa, Tampa Heights, Hyde Park, and downtown Tampa proper, with boundaries along major roads and the Hillsborough River area.
This focuses on high-demand central zones and will offer tourists and citygoers rides without drivers.
Robotaxi Progress
Tesla has been operating Robotaxi since last June, when it launched in Austin. The geofences in most regions have already expanded several times since their launch last year, but the bigger complaint is vehicle availability. Tesla has been working to add more Robotaxi-enabled vehicles to its fleet.
The company still plans to utilize its Cybercab, a new vehicle that is being produced at Gigafactory Texas, for the Robotaxi suite alongside the Model Y, which has been the vehicle of choice for Tesla with early operations.
Tesla reveals 2026 Summer Update with crazy fixes to Nav and more
Tesla’s reason for Starlink integration on Cybercab might surprise you
