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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 weirdly confirmed that its steering wheel-less and pedal-less Cybercab vehicle is now in the process of giving employees rides, a huge milestone for the vehicle program.
But the entire thing was super strange. On Friday, Tesla released a video stating that there was “Cool news from Giga Texas” and that employees were now taking rides in Cybercabs that have no manual controls. The units seen on public roads are engineering vehicles that have manual controls inside, a necessity as Tesla moved through the testing phase.
However, Tesla removed the video and reposted it shortly after with a more vague title. It seems like the employee rides are still going, but the video was adjusted slightly. The initial upload showed employees doing things like watching movies and adjusting the climate, but these snippets were removed in the second upload.
Cool news from Giga Texas pic.twitter.com/gvbG456Tzw
— Tesla Robotaxi (@robotaxi) July 11, 2026
Both images below were uploaded with the first video, but were removed after Tesla re-uploaded the announcement. These are not available in the second upload
Credit: Tesla
Credit: Tesla
Nevertheless, the announcement from Tesla is that the Cybercab is operating with employees inside who can control the vehicle’s audio, video, climate, and destination settings through their smartphone app.
Tesla has already been testing Cybercab engineering units, but last month, it was able to self-certify for SAE Level 4, which would enable unsupervised self-driving in Texas. The company is moving toward that, and the plans have always been to launch Cybercab rides this year.
The Cybercab is potentially looked at as the next generation of Tesla’s mobility leg. For the past 15 years, the company has been known as somewhat of an automaker, among many other things. However, these passenger vehicles that Tesla has manufactured are now moving into a new realm, as they will eventually drive themselves with no supervision thanks to the Full Self-Driving suite.
The Cybercab is just the next step of that: a true vehicle developed for the sole purpose of ride-hailing. It has no human controls, it has only two seats, and it will get passengers from Point A to Point B with no awkward driver, no need for manual inputs, and with no stress.
Tesla is moving forward with other developments related to the Cybercab project as well. However, the big announcement will come when Tesla finally announces that it is launching Cybercab rides to the general public, something that it plans to launch either late this year or early 2027.
SpaceX is gearing up for the 13th Starship integrated flight test, which is currently scheduled for Thursday, July 16, with the launch window opening up at 6:30 PM E.T. from Starbase in South Texas.
This mission, the second with the V3 Starship and Super Heavy vehicles, builds directly on the foundation of Flight 12 while introducing ambitious new objectives, including the debut deployment of next-generation Starlink V3 satellites.
The rapid iteration between flights underscores SpaceX’s “fail fast, learn faster” philosophy, with engineers addressing specific anomalies from the previous test to push reusability and payload capabilities further.
Starship’s thirteenth flight test is preparing to launch as early as Thursday, July 16 → https://t.co/Rp7VwBzpWx pic.twitter.com/jdpFlQUEpF
— SpaceX (@SpaceX) July 11, 2026
Flight 12 occurred earlier in 2026 and encountered notable challenges that became catalysts for Flight 13’s improvements. Issues included booster course deviations during the flip maneuver after stage separation, reusability problems with Super Heavy’s Raptor engine relights for the boostback burn, and an engine-out event on the Starship upper stage during its propulsion phase.
These hiccups, while they did not prevent overall mission success, highlighted areas needing refinement for more consistent performance and higher safety margins in future operational flights.
Elon Musk called it Epic: The full story of SpaceX’s Starship Flight 12
In response, SpaceX implemented a comprehensive suite of both hardware and software upgrades.
For the booster, engineers developed a more robust stage separation flip sequence to maintain stable orientation and prevent off-course rotation. Hardware modifications have enhanced Raptor re-light reliability during the boostback burn, complemented by updated engine alarms and abort logic tailored for multi-engine operations. On the Starship side, propulsion system changes directly tackle the Flight 12 engine-out scenario, improving redundancy and operational resilience.
Another major focus of SpaceX for Flight 13 was the advancements in the heat shield. New tile designs and attachment mechanisms, including tests of aft flaps and skirts, aim to boost durability.
Load-sensing tiles will measure real-time stresses during atmospheric entry, while white-painted tiles simulate missing ones as imaging targets. Six of the 20 Starlink V3 satellites carried aboard will feature specialized cameras to scan and transmit heat shield imagery back to ground teams, providing critical data for future return-to-launch-site attempts.
The mission profile also includes a higher dynamic pressure ascent to stress-test the thermal protection system and increase payload potential, alongside a planned in-space Raptor engine relight demonstration.
The V3 Starlink satellites themselves mark a leap forward, equipped with laser links, deployable solar arrays, and improved antennas to expand network capacity and speeds.
The company wrote:
“For the first time, Starship will carry V3 Starlink satellites to space, which aim to greatly expand the network’s capacity and user speeds. As part of this initial test, Starship is planned to deploy 20 satellites which will extend solar arrays and antennas and will attempt to connect with ground stations in South Africa and the larger Starlink constellation via high-capacity lasers. Six of the satellites have been modified with a suite of cameras to scan Starship’s heat shield and transmit imagery down to operators to continue testing methods of analyzing Starship’s heat shield readiness for return to launch site on future missions. Several tiles on Starship have been painted white to simulate missing tiles and serve as imaging targets in the test.”
This dual-purpose flight tests both vehicle reliability and satellite tech in one integrated operation.
These iterative changes, catalyzed by Flight 12’s data, position Starship closer to rapid reusability goals essential for ambitious programs like Artemis lunar missions and global Starlink coverage.
As SpaceX continues its aggressive test cadence, Flight 13 exemplifies how targeted engineering responses to real-flight anomalies accelerate progress toward fully operational, high-cadence launches. Success here could mark another milestone in the Starship program for SpaceX.
Tesla received a price target upgrade just on the heels of what was a crazy successful quarter for its automotive business, as the company reported a delivery beat of over 15 percent for Q2.
Jefferies analysts are upping Tesla’s price target (NASDAQ: TSLA) to $400 from $375, while maintaining their “Hold” rating on shares, and the strong automotive deliveries from Q2 is a big reason. However, there are some other catalysts that Jefferies believes position Tesla for a strong position in the second half of the year.
Strong Deliveries
Tesla reported 480,000 deliveries for Q2, while Wall Street was between 395,000 and 405,000, as an overall consensus. It was an incredibly strong quarter from a delivery perspective, and Tesla sold well more than it produced during the three months.
Tesla crushes Wall Street expectations, beats delivery estimates by over 15 percent
While vehicle deliveries are not necessarily looked at in the light that they used to be, Tesla still maintains a lot of advantages for keeping deliveries strong. With the loss of the $7,500 EV Tax Credit last year, Tesla still maintains a strong demand case for its EVs.
Robotaxi Performance
Tesla has been operating Robotaxi for over a year now, as it launched in Austin in mid-2025. That program has expanded to Houston and Dallas, the San Francisco Bay Area, and, most recently, Miami, Florida, the suite’s first appearance in the Sunshine State.
While the Robotaxi suite is still in its early phases and Tesla is working through things like fleet size and wait times, the company has been able to undercut the pricing of its competitors and has a great safety record.
Merger Speculation with Tesla and SpaceX
This is perhaps the biggest topic that many are speaking about with Tesla and SpaceX, and it is the one thing that seems to be on the mind of every investor.
Jefferies warns that growing talk of a Tesla-SpaceX merger could cause Tesla stock to trade more like a SpaceX proxy, which may disconnect it from underlying automotive fundamentals. SpaceX has a lot going for it, especially its compute deals that have been widely publicized as of late.
Profitability in New Projects Could Take Some Time
Tesla has a few long-term ventures in the pipeline, most notably the Optimus project and Robotaxi, which is launched but will take several years to expand to a meaningful level that resonates with everyday people.
This is something that investors need to be careful of. Tesla’s projects could take some time to round out, so Jefferies advises that these may carry initial losses, rather than immediate profit. Seasoned Tesla investors have echoed something like this for a long time; they knew going in it would not be an open-and-shut strategy. It was going to take time.
These new projects are no different.
Tesla weirdly confirms Cybercab employee rides, a huge milestone
SpaceX comes with a slew of changes for Starship Flight 13
