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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.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
News
Tesla Robotaxi fleet gets a brain upgrade ahead of Cybercab launch event
Tesla’s Robotaxi service now runs longer hours nationwide as its unsupervised fleet quietly grows larger.
Tesla’s Robotaxi service just got easier to catch, with the company’s official Robotaxi account noting that rides are now available from 6 a.m. to 10 p.m., seven days a week, across its operating footprint. The account also said its unsupervised fleet is “a lot bigger” than before, though without specifics. The bigger change is what Tesla says upgraded intelligence in vehicle distribution and routing is what’s actually cutting wait times, not a new Full Self-Driving version.
While Tesla did not name the team behind the upgrade, the language points to its AI and fleet software group rather than the driving stack itself. Vehicle distribution and routing in Robotaxi has functioned mostly as a dispatch problem with the software deciding which idle car goes to which rider, and how far it has to travel to get there. “Upgraded intelligence” suggests a smarter version of that dispatch logic, likely using demand forecasting to position idle cars near where riders are about to request them rather than reacting once a request comes in. Tesla’s AI division has built similar prediction systems for other parts of the business, including the neural networks that power FSD itself, so applying that same approach to fleet logistics would be a natural extension rather than a new discipline for the team.
Robotaxi now runs 6am to 10pm, 7 days/week
Unsupervised fleet is a lot bigger
Also, upgraded intelligence in vehicle distribution & routing means you wait less pic.twitter.com/UFZ4bqg2dZ
— Tesla Robotaxi (@robotaxi) August 26, 2026
Tesla is also about a week away from a separate robotaxi milestone. The company plans to launch Cybercab, its purpose built two seat robotaxi with no steering wheel or pedals, in Austin on September 3. Cybercab has been giving employees rides on public and private roads for weeks, and the September event is expected to fold those vehicles into the existing Robotaxi fleet within days of the launch.
Thank you so much @Tesla for inviting us to the Cybercab launch in Austin! 🤠 pic.twitter.com/F1rAR8zd5O
— TESLARATI (@Teslarati) August 22, 2026
Austin previously ran Robotaxi from 6 a.m. to 2 a.m. as of last September, a schedule set before the service expanded into Dallas, Houston, Miami, Tampa, Orlando and the Bay Area. Wednesday’s post did not specify whether that extended overnight window still applies in Austin specifically or whether 6 a.m. to 10 p.m. is now the standard across every market. Tesla’s post, visible on its official Robotaxi account, framed the change simply as fewer riders waiting around for a car.
Whether the wider hours hold once Cybercab enters the fleet next week is the next thing worth watching. Tesla has tended to expand Robotaxi in increments, first geofence, then hours, then fleet size, and each step so far has arrived without much advance notice.
Tesla Cybertruck’s three configurations are all the same on the outside from an appearance perspective, but they differ slightly in price, range, performance, and other features. After yesterday’s price adjustment, Tesla’s Base All-Wheel-Drive Cybertruck is now priced at $74,990, a far cry from the $59,990 it started at several months ago.
At $60,000, the Cybertruck All-Wheel-Drive is a steal: no pickup, electric or gas-powered, comes close in terms of overall driving capability thanks to Steer-by-Wire; no truck is more fun to drive at that price, and add in Full Self-Driving for $99 per month, and you truly have the best possible pickup on the market, at least if you’re planning to use it for driving.
I unfortunately didn’t have the equipment to test towing and payload and how it impacts the truck.
But at $75,000, is it still worth it? Obviously, the question gets to be more difficult because of the $15,000 difference. But there’s still an argument.
I spent the last week with this awesome truck, and when I took it back, I was sad because it truly is the best Tesla in the lineup. I formerly said the Model S was my favorite Tesla, but after a week with Cybertruck, I can easily say it would be my choice over the now-defunct all-electric sedan.
What makes it so great? Well, a lot of things, and there are some things that I’d like to see change. However, this is a truck that truly has a serious argument for those who are thinking of trying something completely different.
Exterior and Interior
This build comes with 18″ Molten Wheels as the standard offering, but 20″ Core Wheels with 35″ tires are also available. The standard wheel option on this affordable model is not my favorite, but it can be easily swapped for something more attractive.
Overall, this particular build did have some panel gap issues that were especially noticeable between the hood and both front quarter panels. This is obviously not an “across the board” issue, as the Cyberbeast I took home for comparative reasons was significantly better overall.
It’s 📐 week. Cybertruck AWD!!! pic.twitter.com/0hkmTQDQYk
— TESLARATI (@Teslarati) August 19, 2026
The interior is different, with its textile material instead of the vegan leather. Personally, I missed the leather due to the ventilated seats, but I prefer the textile as I personally felt like they were more comfortable. This is something I’d definitely consider if I were between the three trim levels and money was not really an issue.
After 610 miles on Monday in this thing, I did not feel any different than I did when I left my house that morning. It feels like a living room on wheels; after a long drive, you truly do not feel as if you’ve been in a car all day long.
My biggest interior complaints were that I’d like at least two USB-C ports in the front; you are confined to just one, and it’s hidden in the center console. The rear row has two ports. Additionally, the windshield is super difficult to clean, so if you end up buying one of these, save your back and get something that extends.
Driving Performance and Comfort
One of the most surprising things about Cybertruck is the fact that it is perhaps the smoothest ride of any Tesla available. Most believe it might be rough, stiff, and rugged like most trucks, maybe not as forgiving on the back and bottom as you sit in it for an extended period of time.
I’m here to tell you, you won’t regret sitting in a Cybertruck for a long drive.
I put as many people who dislike EVs, don’t like Cybertrucks, or use trucks for work, and judge the Cybertruck in this thing in the past week. Every single person who got in this truck loved it: they loved the speed, the handling, FSD, the space, the capability, and the feel.
As previously noted, even after hundreds of miles and 14 hours spent driving around Pennsylvania, I didn’t feel tired, exhausted, or in any hurry to come home. I would have driven another 300 miles without question.
Final Thoughts
If I had my choice of the three Cybertruck trims, I think I’d take the All-Wheel-Drive for a few reasons. Initially, the price is more attractive, it is not that stripped of features, and it has everything I need.
Is it worth it at $75,000? I believe it is. I’ve driven trucks that are at a higher price point and consider this to be a better product from a driving and experience perspective. However, other pickups on the market have more towing capacity, payload capacity, and range. They do not have FSD or steer-by-wire, the two things that truly make the Cybertruck in a league of its own.
I can’t think of a time in recent memory that I’ve been this excited to drive a vehicle each day, and I literally look for excuses to drive my Model Y on a daily basis. This Cybertruck just blows the Model Y out of the water in every possible way, at least in my opinion. With the size, performance, and driving experience, there is no better Tesla out there.
You can check out the full video review below. If you have any questions about the Cybertruck AWD, be sure to reach out and let me know:
🚨FULL REVIEW of the unbelievable Tesla Cybertruck AWD 📐 pic.twitter.com/S0wHALl87K
— TESLARATI (@Teslarati) August 26, 2026
Elon Musk
County vote hands Elon Musk’s Vegas tunnel network a huge new target
Clark County approved 19 more Vegas Loop stations, pushing Boring Company’s entitled total to 123.
The Boring Company just got permission to nearly double how far Vegas Loop can reach. Clark County commissioners approved 19 additional stations for the underground transit system, bringing the total entitled to 123, the company said in a post on X thanking the county for the vote. Elon Musk’s tunneling company also flagged the direction it sees the project heading long term. “Because Loop is point-to-point with no intermediate stops, in the limit, one could have a Loop station in every driveway,” the company wrote.
That framing captures how far the ambitions have moved. The Vegas Loop opened its first stretch of tunnel in 2021 and has grown its footprint through a string of county approvals since. In 2023, commissioners signed off on 18 additional stations, part of a plan that later doubled the system’s target to 69 stations across 65 miles. By the end of that year the company was describing a build out closer to 93 planned stations. Last year the long term design called for 104 stations across 68 miles of tunnel. The new approval pushes that number to 123, another jump in a project that keeps outgrowing its own blueprints.
The Boring Company gets approval for more stations in Las Vegas
Station count on paper is still well ahead of what riders can actually use. As Teslarati reported earlier this month, the network has about 11 open stations and has carried more than 4 million passengers since it began running, with newer stops at Fontainebleau and Sahara among the latest additions to the Strip corridor. A tunnel connection to Harry Reid International Airport remains under construction and has already slipped past its original first quarter target. The company is also racing to finish a Westgate to Paradise Road segment that Las Vegas Convention and Visitors Authority CEO Steve Hill has said it hopes to have running in time for November’s Formula 1 race.
The gap between entitled stations and operating ones is where the real story sits. Regulatory approval gives Boring Company the legal runway to keep tunneling toward new resorts, residential pockets and eventually the airport, but building each connection still comes down to boring machines, fire safety sign offs and construction timelines that have slipped before. The company’s Prufrock series machines set an internal record in March with a 2.28 mile tunnel near Westgate, evidence that construction has been picking up even as the list of approved destinations grows faster than the tunnels themselves.
Musk’s driveway comment reads as aspirational rather than a near term plan, but it fits how Boring Company has talked about Vegas Loop from the start: treat every approval as a floor, not a ceiling, and keep pushing county officials for room to dig.
Tesla Robotaxi fleet gets a brain upgrade ahead of Cybercab launch event
Tesla Cybertruck AWD is a steal at $60k, is it still at $75k? Full Review
