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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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Tesla Robotaxi enters its newest city, reaching San Antonio

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Credit: @AdanGuajardo/X

Tesla launched unsupervised Robotaxi service in San Antonio, Texas, on November 9, 2026, with the first rides beginning at 5 a.m. local time.

The company’s official Robotaxi account on X posted the announcement just after midnight, sharing a map that outlines a large operational zone covering much of the city. The geofence is roughly 274 to 275 square miles, making it Tesla’s largest day-one Robotaxi service area to date.

The zone centers on downtown, covers nearly everything inside Loop 410, and extends north to Loop 1604 between Interstate 10 and U.S. 281, with further reach west past State Highway 151, east beyond I-35, and south toward I-37. This area encompasses about one million residents and hundreds of thousands of jobs.

San Antonio International Airport lies inside the geofence, though Tesla is not currently offering airport pickups or drop-offs. This hopefully will happen soon, as ride-sharing to and from the airport can be expensive.

The launch makes San Antonio Tesla’s eighth unsupervised Robotaxi city and its fifth in Texas, joining Austin, Houston, Dallas, and Fort Worth. Florida markets in Miami, Orlando, and Tampa are also live.

Service uses modified Model Y vehicles operating without a safety driver in the vehicle, consistent with recent unsupervised expansions. Cybercab two-seaters remain limited primarily to Austin for now. It’s worth noting that Dept. of Transportation officials in Texas have already ok’d the Cybercab’s operation in Austin, and one official called it “a tangible example of how quickly our transportation system is evolving.”

San Antonio was previously listed among near-term targets in Tesla’s October 2026 Robotaxi safety materials, alongside Las Vegas, Phoenix, and Jacksonville. The rapid Texas rollout follows Fort Worth’s unsupervised debut on November 2 and builds on Austin’s original launch in June 2025.

The 274-square-mile debut remains substantially larger than Waymo’s local footprint and marks continued progress in Tesla’s unsupervised autonomy efforts after starting the year with no such rides. The company has stated ambitions for broader 24/7 operations by the end of 2026 as vehicle counts and software reliability improve.

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Energy

Tesla begins groundworks on $10B ‘Project Crystal Sun’ in Texas

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Elon Musk stands in profile against a clear blue sky, with a bright overhead sun shining above a vast landscape of Tesla solar panels stretching to the horizon, and a smaller Texas flag flying on a pole to his right.

Tesla has started to perform earthworks engineering on the roughly 3,000-acre site in Fort Bend County, Texas, advancing the massive $10 billion Project Crystal Sun plan to build a vertically integrated solar manufacturing complex.

Flyover drone footage from S.E. Robinson, Jr. released this morning shows the location under development. Tesla has crews on site performing large clearings, but you can also see equipment staging areas, the use of an existing homestead, and active leveling across a substantial portion of the property.

Public filings first submitted in July under Texas’s Jobs, Energy, Technology and Innovation Act describe a plant that would manufacture the full solar chain: everything from silicon ingots, wafers, coated cells, and finished modules.

Tesla projects 9,712 permanent jobs by 2033, ramping from roughly 1,900 positions in the first year of operations, plus a peak of about 1,147 construction jobs. Construction is targeted for 2026–2028, with commercial production beginning in the first quarter of 2029. An accompanying economic analysis estimates the project could add roughly $107 billion to Texas GDP over several decades.

Local incentives have cleared major hurdles. Lamar Consolidated Independent School District unanimously approved school-tax limitations in September, and Fort Bend County commissioners approved a package of abatements and related agreements in late October that could extend equipment tax breaks for as long as 35 years.

Tesla had previously indicated it was evaluating a competing out-of-state location.

The effort fits broader statements by Musk that Tesla and SpaceX are each working toward 100 gigawatts of annual U.S. solar manufacturing capacity. If built as described, Project Crystal Sun would stand as one of the largest domestic attempts to create a fully integrated solar supply chain on American soil.

While Tesla has not issued a formal groundbreaking announcement, the visible site preparation and high-profile social media activity represent a concrete step forward for a project that has moved from confidential filings to active earthworks in a matter of months.

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Cybertruck

Elon Musk keeps justifying Tesla Cybertruck’s cancelation, but it’s confusing

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tesla cybertruck elon musk
Tesla CEO Elon Musk unveils futuristic Cybertruck in Los Angeles, Nov. 21, 2019 (Photo: Teslarati)

Elon Musk continues to shed more reasons that justify the cancelation of the Tesla Cybertruck, but some of the reasons for the sunset, as well as the process the company is choosing, do not make a lot of sense.

Musk announced last week on X that Tesla would wind down Cybertruck production in mid-2027, a decision that aims to prioritize Cybercab and its importance to the company’s future and passenger transportation as a whole.

But some of what Tesla and Musk are saying does not seem to make much sense. From the process the company is taking with orders to some of the reasoning for the cancelation, the whole situation seems strange.

With that being said: I totally see the merit in prioritizing Cybercab, but I also believe there is room for Cybertruck, a vehicle that has traditionally had low volumes, especially now at its current price point. If it were not for the cancelation, Cybertruck would sell very few units with the recent price adjustments.

Musk Talks Order Rate vs. Production Rate

The first thing that does not make a lot of sense here is the fact that this morning, Musk said that “The Cybertruck order rate far exceeds our production rate. We will try to make as any as possible before shutting down the line in about 8 months, but will have to return deposits for a lot of people.”

Then why is Tesla STILL accepting orders for the Cybertruck if it already cannot fulfill its order log by mid-2027?

There are so many people ordering Cybertruck that will not receive it. If Tesla already is having trouble seeing how it will build its current orders, why would it allow additional ones?

There are going to be a lot of people who are very upset next June or July, all because they placed an order for a truck that Tesla knew it would not have the time to build. At this point, it seems like a better idea from a customer service standpoint to simply stop accepting orders on a certain date, build those trucks, fulfill those orders, and then close production.

Continuing to accept orders at this point seems wildly strange. If anything, it feels like the $59k Cybertruck orderers will be the ones who get the short end of the stick here, but that’s speculation and just a hunch on my end.

If not Cybertruck, then what?

With only the Model 3 and Model Y available for consumers, meaning the general public, to buy, there is now no utility vehicle in the Tesla lineup, and that is definitely a disappointment.

Ford already washed its hands of the Lightning, which means the Rivian R1T will likely be the best-selling EV pickup on the market, dueling with the GMC Hummer Pickup, Chevy Silverado EV, and the GMC Sierra EV. There are several pickups that are set to hit the market soon, like the Slate EV Truck, and Ford’s new EV pickup, the Fathom.

Tesla could provide some some transparency on what it is planning to do with a future pickup or utility design. Musk said in the past that something much cooler than a minivan will be built. Cries for a full-size SUV have been heard by Tesla, but the company seems to adamant on prioritizing ridesharing vehicles instead of vehicles people want for work, climate, or hobbies.

Some clarity here, past the point of “Tesla is still going to build cars” would be nice. Even a simple, “Yes” response from all the people asking if Tesla will build something larger would be more than enough. We don’t need all the details now, but something would be nice.

Closing Thoughts

More than anything, it is important to note that I do believe Tesla is making a tough decision and one that, from a business standpoint, does make sense. However, I also believe that there is room for the Cybertruck in Tesla’s lineup.

One thing I think it’s worth mentioning is Tesla is not that much different from many companies. They do things that are better for the business that will surely upset consumers. The difference is very few companies have a following like Tesla, so when these things happen, they feel very personal.

Add in the fact that Cybertruck has truly become a symbol of Tesla, and people are even more upset about it.

It will all get figured out, but it’s still very confusing when we step back and take a look at the bigger picture.

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