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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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Elon Musk

Elon Musk is now a remote DOGE worker: White House Chief of Staff

The Tesla and SpaceX CEO Elon Musk is no longer working from the West Wing.

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Credit: Elon Musk/X

In a conversation with the New York Post, White House Chief of Staff Susie Wiles stated that Tesla and SpaceX CEO Elon Musk is no longer working from the West Wing.

As per the Chief of Staff, Musk is still working for DOGE—as a remote worker, at least.

Remote Musk

In her conversation with the publication, Wiles stated that she still talks with Musk. And while the CEO is now working remotely, his contributions still have the same net effect. 

“Instead of meeting with him in person, I’m talking to him on the phone, but it’s the same net effect,” Wiles stated, adding that “it really doesn’t matter much” that the CEO “hasn’t been here physically.” She also noted that Musk’s team will not be leaving.

“He’s not out of it altogether. He’s just not physically present as much as he was. The people that are doing this work are here doing good things and paying attention to the details. He’ll be stepping back a little, but he’s certainly not abandoning it. And his people are definitely not,” Wiles stated.

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Back to Tesla

Musk has been a frequent presence in the White House during the Trump administration’s first 100 days in office. But during the Q1 2025 Tesla earnings call, Musk stated that he would be spending substantially less time with DOGE and substantially more time with Tesla. Musk did emphasize, however, that DOGE’s work is extremely valuable and critical.

“I think I’ll continue to spend a day or two per week on government matters for as long as the President would like me to do so and as long as it is useful. But starting next month, I’ll be allocating probably more of my time to Tesla and now that the major work of establishing the Department of Government Efficiency is done,” Musk stated.

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Elon Musk

Tariff reprieve might be ‘Tesla-friendly,’ but it’s also an encouragement to others

Tesla stands to benefit from the tariff reprieve, but it has some work cut out for it as well.

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tesla employee
(Photo: Tesla)

After Secretary of Commerce Howard Lutnick made adjustments to the automotive tariff program that was initially announced, many quickly pointed to the reprieve as “Tesla-friendly.”

While that may be the case right now, it was also a nudge of encouragement to other companies, Tesla included, to source parts from the U.S. in an effort to strengthen domestic manufacturing. Many companies are close, and it will only take a handful of improvements to save themselves from tariffs on their cars as well.

Yesterday, Sec. Lutnick confirmed that cars manufactured with at least 85 percent of domestic content will face zero tariffs. Additionally, U.S. automakers would receive credit up to 15 percent of the value of vehicles to offset the cost of imported parts.

Big Tesla win? Sec Lutnick says cars with 85% domestic content will face zero tariffs

“This is ‘finish your cars in America and you win’,” Lutnick said.

Many were quick to point out that only three vehicles currently qualify for this zero-tariff threshold: all three are Teslas.

However, according to Kelley Blue Book’s most recent study that revealed who makes the most American cars, there are a lot of vehicles that are extremely close to also qualifying for these tariff reductions.

Tesla has three vehicles that are within five percent, while Ford, Honda, Jeep, Chevrolet, GMC, and Volkswagen have many within just ten percent of the threshold.

Tesla completely dominates Kogod School’s 2024 Made in America Auto Index

It is within reach for many.

Right now, it is easy to see why some people might think this is a benefit for Tesla and Tesla only.

But it’s not, because Tesla has its Cybertruck, Model S, and Model X just a few percentage points outside of that 85 percent cutoff. They, too, will feel the effects of the broader strategy that the Trump administration is using to prioritize domestic manufacturing and employment. More building in America means more jobs for Americans.

Credit: Tesla

However, other companies that are very close to the 85 percent cutoff are only a few components away from also saving themselves the hassle of the tariffs.

Ford has the following vehicles within just five percent of the 85 percent threshold:

  • Ford Mustang GT automatic (80%)
  • Ford Mustang GT 5.0 (80%)
  • Ford Mustang GT Coupe Premium (80%)

Honda has several within ten percent:

  • Honda Passport All-Wheel-Drive (76.5%)
  • Honda Passport Trailsport (76.5)

Jeep has two cars:

  • Jeep Wrangler Rubicon (76%)
  • Jeep Wrangler Sahara (76%)

Volkswagen has one with the ID.4 AWD 82-kWh (75.5%). GMC has two at 75.5% with the Canyon AT4 Crew Cab 4WD and the Canyon Denali Crew Cab 4WD.

Chevrolet has several:

  • Chevrolet Colorado 2.7-liter (75.5%)
  • Chevrolet Colorado LT Crew Cab 2WD 2.7-liter (75.5%)
  • Chevrolet Colorado Z71 Crew Cab 4WD 2.7-liter (75.5%)

These companies are close to reaching the 85% threshold, but adjustments need to be made to work toward that number.

Anything from seats to fabric to glass can be swapped out for American-made products, making these cars more domestically sourced and thus qualifying them for the zero-tariff boundary.

Frank DuBois of American University said that manufacturers like to see stability in their relationships with suppliers and major trade partners. He said that Trump’s tariff plan could cause “a period of real instability,” but it will only be temporary.

Now is the time to push American manufacturing forward, solidifying a future with more U.S.-made vehicles and creating more domestic jobs. Tesla will also need to scramble to make adjustments to its vehicles that are below 85%.

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Tesla Cybertruck RWD production in full swing at Giga Texas

Videos of several freshly produced Cybertruck LR RWD units were shared on social media platform X.

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Credit: Joe Tegtmeyer/X

It appears that Tesla is indeed ramping the production of the Cybertruck Long Range Rear Wheel Drive (LR RWD), the most affordable variant of the brutalist all-electric pickup truck.

Videos of several freshly produced Cybertruck LR RWD units were shared on social media platform X.

Giga Texas Footage

As per longtime Tesla watcher Joe Tegtmeyer, Giga, Texas, was a hotbed of activity when he conducted his recent drone flyover. Apart from what seemed to be Cybercab castings being gathered in the complex, a good number of Cybertruck LR RWD units could also be seen in the facility’s staging area. The Cybertruck LR RWD units are quite easy to spot since they are not equipped with the motorized tonneau cover that is standard on the Cybertruck AWD and Cyberbeast.

The presence of the Cybertruck LR RWD units in Giga Texas’ staging area suggests that Tesla is ramping the production of the base all-electric pickup truck. This bodes well for the vehicle, which is still premium priced despite missing a good number of features that are standard in the Cybertruck AWD and Cyberbeast.

Cybertruck Long Range RWD Specs

The Cybertruck LR RWD is priced at $69,990 before incentives, making it $10,000 more affordable than the Cybertruck AWD. For its price, the Cybertruck Long Range RWD offers a range of 350 miles per charge if equipped with its 18” standard Wheels. It can also add up to 147 miles of range in 15 minutes using a Tesla Supercharger.

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Much of the cost-cutting measures taken by Tesla are evident in the cabin of the Cybertruck LR RWD. This could be seen in its textile seats, standard console, seven-speaker audio system with no active noise cancellation, and lack of a 9.4” second-row display. It is also missing the motorized tonneau cover, the 2x 120V and 1x 240V power outlets on the bed, and the 2x 120V power outlets in the cabin. It is also equipped with an adaptive coil spring suspension instead of the adaptive air suspension in the Cybertruck AWD and Cyberbeast.

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