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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 Cybertruck is significantly different from traditional pickups on the market in a lot of ways. However, one feature that was recently modified with its interior was a highly requested characteristic that is present in other trucks, but was void from Cybertruck.
Tesla went with a five-seat configuration with Cybertruck: two in the front and three in the back. The spacious interior is matched with plenty of storage, especially up front, as a pass-through, center console, and other storage options, but some Tesla fans wanted something different: bench seating.
Bench seating is popular in many full-size pickups and allows three passengers to sit up front. The middle seat is usually accompanied by a fold-down storage unit with cupholders.
Tesla decided to opt for no bench seating up front, despite the fact that it equipped bench seating in the unveiling in 2019. Interior photos from the unveiling event from nearly six-and-a-half years ago show Tesla had originally planned to have a six-seat configuration.
This was adjusted after the company refined the design:
(Tesla Cybertruck interior configuration in 2019)
Despite Tesla abandoning this design, it does not mean owners were willing to accept it. One owner decided to modify their Tesla Cybertruck interior to equip that third seat between the driver’s and passenger’s thrones.
The fit is snug, and while it looks great, it is important to remember that this does not abide byregulations, as it would require an airbag to be technically legal. Please do not do this at home with your own Cybertruck:
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- Credit: @blueskykites
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- Credit: @blueskykites
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- Credit: @blueskykites
The Cybertruck is a popular vehicle in terms of publicity, but its sales have been underwhelming since first delivered to customers back in 2023. It’s hard to believe it’s been out for two-and-a-half years, but despite this, Tesla has not been able to come through on its extensive order sheet.
This is mostly due to price, as Cybertruck was simply not as affordable as Tesla originally planned. Its three configurations were initially priced at $39,990, $49,990, and $69,990. At release, Cybertruck was priced above $100,000.
This priced out many of those who had placed orders, which is the main reason Cybertruck has not lived up to its expectations in terms of sales. The adjustments to the specific features, like the removal of the bench seat, likely did not impact sales as much as pricing did.
This modification shows some creativity by Tesla owners, but also shows that the Cybertruck could always be the subject of a potential refresh to include some of these features. Tesla routinely adjusts its vehicle designs every few years, so maybe the Cybertruck could get something like this if it chooses to refresh its all-electric pickup.
Elon Musk
Tesla CEO Elon Musk drops massive bomb about Cybercab
“And there is so much to this car that is not obvious on the surface,” Musk said.
Tesla CEO Elon Musk dropped a massive bomb about the Cybercab, which is the company’s fully autonomous ride-hailing vehicle that will enter production later this year.
The Cybercab was unveiled back in October 2024 at the company’s “We, Robot” event in Los Angeles, and is among the major catalysts for the company’s growth in the coming years. It is expected to push Tesla into a major growth phase, especially as the automaker is transitioning into more of an AI and Robotics company than anything else.
The Cybercab will enable completely autonomous ride-hailing for Tesla, and although its other vehicles will also be capable of this technology, the Cybercab is slightly different. It will have no steering wheel or pedals, and will allow two occupants to travel from Point A to Point B with zero responsibilities within the car.
Tesla shares epic 2025 recap video, confirms start of Cybercab production
Details on the Cybercab are pretty face value at this point: we know Tesla is enabling 1-2 passengers to ride in it at a time, and this strategy was based on statistics that show most ride-hailing trips have no more than two occupants. It will also have in-vehicle entertainment options accessible from the center touchscreen.
It will also have wireless charging capabilities, which were displayed at “We, Robot,” and there could be more features that will be highly beneficial to riders, offering a full-fledged autonomous experience.
Musk dropped a big hint that there is much more to the Cybercab than what we know, as a post on X said that “there is so much to this car that is not obvious on the surface.”
And there is so much to this car that is not obvious on the surface
— Elon Musk (@elonmusk) January 2, 2026
As the Cybercab is expected to enter production later this year, Tesla is surely going to include a handful of things they have not yet revealed to the public.
Musk seems to be indicating that some of the features will make it even more groundbreaking, and the idea is to enable a truly autonomous experience from start to finish for riders. Everything from climate control to emergency systems, and more, should be included with the car.
It seems more likely than not that Tesla will make the Cybercab its smartest vehicle so far, as if its current lineup is not already extremely intelligent, user-friendly, and intuitive.
Investor's Corner
Tesla Q4 delivery numbers are better than they initially look: analyst
The Deepwater Asset Management Managing Partner shared his thoughts in a post on his website.
Longtime Tesla analyst and Deepwater Asset Management Managing Partner Gene Munster has shared his insights on Tesla’s Q4 2025 deliveries. As per the analyst, Tesla’s numbers are actually better than they first appear.
Munster shared his thoughts in a post on his website.
Normalized December Deliveries
Munster noted that Tesla delivered 418k vehicles in the fourth quarter of 2025, slightly below Street expectations of 420k but above the whisper number of 415k. Tesla’s reported 16% year-over-year decline, compared to +7% in September, is largely distorted by the timing of the tax credit expiration, which pulled forward demand.
“Taking a step back, we believe September deliveries pulled forward approximately 55k units that would have otherwise occurred in December or March. For simplicity, we assume the entire pull-forward impacted the December quarter. Under this assumption, September growth would have been down ~5% absent the 55k pull-forward, a Deepwater estimate tied to the credit’s expiration.
“For December deliveries to have declined ~5% year over year would imply total deliveries of roughly 470k. Subtracting the 55k units pulled into September results in an implied December delivery figure of approximately 415k. The reported 418k suggests that, when normalizing for the tax credit timing, quarter-over-quarter growth has been consistently down ~5%. Importantly, this ~5% decline represents an improvement from the ~13% declines seen in both the March and June 2025 quarters.“
Tesla’s United States market share
Munster also estimated that Q4 as a whole might very well show a notable improvement in Tesla’s market share in the United States.
“Over the past couple of years, based on data from Cox Automotive, Tesla has been losing U.S. EV market share, declining to just under 50%. Based on data for October and November, Cox estimates that total U.S. EV sales were down approximately 35%, compared to Tesla’s just reported down 16% for the full quarter. For the first two months of the quarter, Cox reported Tesla market share of roughly a 65% share, up from under 50% in the September quarter.
“While this data excludes December, the quarter as a whole is likely to show a material improvement in Tesla’s U.S. EV market share.“
Tesla Cybertruck undergoes interior mod that many owners wanted
Tesla CEO Elon Musk drops massive bomb about Cybercab
