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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 begins expanding Robotaxi access: here’s how you can ride

You can ride in a Tesla Robotaxi by heading to its website and filling out the interest form. The company is hand-picking some of those who have done this to gain access to the fleet.

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Credit: @HanChulYong/X

Tesla has begun expanding Robotaxi access beyond the initial small group it offered rides to in late June, as it launched the driverless platform in Austin, Texas.

The small group of people enjoying the Robotaxi ride-hailing service is now growing, as several Austin-area residents are receiving invitations to test out the platform for themselves.

The first rides took place on June 22, and despite a very small number of very manageable and expected hiccups, Tesla Robotaxi was widely successful with its launch.

Tesla Robotaxi riders tout ‘smooth’ experience in first reviews of driverless service launch

However, Tesla is expanding the availability of the ride-hailing service to those living in Austin and its surrounding areas, hoping to gather more data and provide access to those who will utilize it on a daily basis.

Many of the people Tesla initially invited, including us, are not local to the Austin area.

There are a handful of people who are, but Tesla was evidently looking for more stable data collection, as many of those early invitees headed back to where they live.

The first handful of invitations in the second round of the Robotaxi platform’s Early Access Program are heading out to Austin locals:

Tesla likely saw an influx of data during the first week, as many traveled far and wide to say they were among the first to test the Robotaxi platform.

Now that the first week and a half of testing is over, Tesla is expanding invites to others. Many of those who have been chosen to gain access to the Robotaxi app and the ride-hailing service state that they simply filled out the interest form on the Robotaxi page of Tesla’s website.

That’s the easiest way you will also gain access, so be sure to fill out that form if you have any interest in riding in Robotaxi.

Tesla will continue to utilize data accumulated from these rides to enable more progress, and eventually, it will lead to even more people being able to hail rides from the driverless platform.

With more success, Tesla will start to phase out some of the Safety Monitors and Supervisors it is using to ensure things run smoothly. CEO Elon Musk said Tesla could start increasing the number of Robotaxis to monitors within the next couple of months.

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Elon Musk

Tesla analyst issues stern warning to investors: forget Trump-Musk feud

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Credit: Tesla

A Tesla analyst today said that investors should not lose sight of what is truly important in the grand scheme of being a shareholder, and that any near-term drama between CEO Elon Musk and U.S. President Donald Trump should not outshine the progress made by the company.

Gene Munster of Deepwater Management said that Tesla’s progress in autonomy is a much larger influence and a significantly bigger part of the company’s story than any disagreement between political policies.

Munster appeared on CNBC‘s “Closing Bell” yesterday to reiterate this point:

“One thing that is critical for Tesla investors to remember is that what’s going on with the business, with autonomy, the progress that they’re making, albeit early, is much bigger than any feud that is going to happen week-to-week between the President and Elon. So, I understand the reaction, but ultimately, I think that cooler heads will prevail. If they don’t, autonomy is still coming, one way or the other.”

This is a point that other analysts like Dan Ives of Wedbush and Cathie Wood of ARK Invest also made yesterday.

On two occasions over the past month, Musk and President Trump have gotten involved in a very public disagreement over the “Big Beautiful Bill,” which officially passed through the Senate yesterday and is making its way to the House of Representatives.

Tesla analysts believe Musk and Trump feud will pass

Musk is upset with the spending in the bill, while President Trump continues to reiterate that the Tesla CEO is only frustrated with the removal of an “EV mandate,” which does not exist federally, nor is it something Musk has expressed any frustration with.

In fact, Musk has pushed back against keeping federal subsidies for EVs, as long as gas and oil subsidies are also removed.

Nevertheless, Ives and Wood both said yesterday that they believe the political hardship between Musk and President Trump will pass because both realize the world is a better place with them on the same team.

Munster’s perspective is that, even though Musk’s feud with President Trump could apply near-term pressure to the stock, the company’s progress in autonomy is an indication that, in the long term, Tesla is set up to succeed.

Tesla launched its Robotaxi platform in Austin on June 22 and is expanding access to more members of the public. Austin residents are now reporting that they have been invited to join the program.

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Elon Musk

Tesla surges following better-than-expected delivery report

Tesla saw some positive momentum during trading hours as it reported its deliveries for Q2.

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(Credit: Tesla)

Tesla (NASDAQ: TSLA) surged over four percent on Wednesday morning after the company reported better-than-expected deliveries. It was nearly right on consensus estimations, as Wall Street predicted the company would deliver 385,000 cars in Q2.

Tesla reported that it delivered 384,122 vehicles in Q2. Many, including those inside the Tesla community, were anticipating deliveries in the 340,000 to 360,000 range, while Wall Street seemed to get it just right.

Tesla delivers 384,000 vehicles in Q2 2025, deploys 9.6 GWh in energy storage

Despite Tesla meeting consensus estimations, there were real concerns about what the company would report for Q2.

There were reportedly brief pauses in production at Gigafactory Texas during the quarter and the ramp of the new Model Y configuration across the globe were expected to provide headwinds for the EV maker during the quarter.

At noon on the East Coast, Tesla shares were up about 4.5 percent.

It is expected that Tesla will likely equal the number of deliveries it completed in both of the past two years.

It has hovered at the 1.8 million mark since 2023, and it seems it is right on pace to match that once again. Early last year, Tesla said that annual growth would be “notably lower” than expected due to its development of a new vehicle platform, which will enable more affordable models to be offered to the public.

These cars are expected to be unveiled at some point this year, as Tesla said they were “on track” to be produced in the first half of the year. Tesla has yet to unveil these vehicle designs to the public.

Dan Ives of Wedbush said in a note to investors this morning that the company’s rebound in China in June reflects good things to come, especially given the Model Y and its ramp across the world.

He also said that Musk’s commitment to the company and return from politics played a major role in the company’s performance in Q2:

“If Musk continues to lead and remain in the driver’s seat, we believe Tesla is on a path to an accelerated growth path over the coming years with deliveries expected to ramp in the back-half of 2025 following the Model Y refresh cycle.”

Ives maintained his $500 price target and the ‘Outperform’ rating he held on the stock:

“Tesla’s future is in many ways the brightest it’s ever been in our view given autonomous, FSD, robotics, and many other technology innovations now on the horizon with 90% of the valuation being driven by autonomous and robotics over the coming years but Musk needs to focus on driving Tesla and not putting his political views first. We maintain our OUTPERFORM and $500 PT.”

Moving forward, investors will look to see some gradual growth over the next few quarters. At worst, Tesla should look to match 2023 and 2024 full-year delivery figures, which could be beaten if the automaker can offer those affordable models by the end of the year.

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