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Tesla FSD Beta 10.69 release notes highlight better left turns, smoother driving

(Credit: Tesla)

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3 years ago

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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.

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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 confirms Grok 4 launch on July 9 with livestream event

The rollout will be accompanied by a livestream at 8 p.m. Pacific Time.

Published

34 minutes ago

on

July 8, 2025

By

Credit: xAI/X

Elon Musk has officially confirmed that Grok 4, the latest version of xAI’s large language model, will launch on July 9. The rollout will be accompanied by a livestream at 8 p.m. Pacific Time, hosted on xAI’s official account on X.

xAI goes straight to Grok 4

Back in May, leaks indicated that xAI was getting ready to ship Grok 3.5. Considering Musk’s recent comments, however, it appears that the artificial intelligence startup would be focusing on the large language model’s fourth iteration instead. As noted in a Financial Express report, users on X have sighted references to Grok 4 in the lead up to the update’s launch, such as “grok-4-prod-mimic” and “Grok 4 Code.”

Musk’s Grok 4 announcement comes as AI competition intensifies between major players including OpenAI, Google, and xAI. With Musk’s Colossus supercomputer fully operational in Memphis, xAI appears to be accelerating its AI product roadmap.

Musk pushes Grok toward political neutrality

Grok 4’s launch also follows a recent controversy involving political bias, as noted in a CNN report. Last week, Grok responded to a user on X stating that political violence in the U.S. since 2016 had come more from the political right than the left. The chatbot noted in a later reply that its answer was based on information from sources like Reuters, the Journal of Democracy, and University of Maryland studies. 

Musk stated that Grok’s response was a “major fail.” “Major fail, as this is objectively false. Grok is parroting legacy media. Working on it,” he wrote in a post on X. By the end of June, Musk noted that he was “grinding all night with the xAI team” and that they were making “good progress.” He also stated that the model “Will be called Grok 4. Release just after July 4th. Needs one more big run for a specialized coding model.”

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Tesla opens massive solar Supercharger station in California

The Supercharger opened to customers ahead of Fourth of July weekend, while Tesla continues phase two of construction on the site.

Published

6 hours ago

on

July 7, 2025

By

Credit: Tesla Charging | X

Tesla has officially launched the first several Supercharging posts at a massive station in California, notably including solar canopies and grid-scale batteries to offer completely renewable charging.

Last week, Tesla announced on X that it opened the first 84 Supercharger stalls of a planned 168-stall station in Lost Hills, California. Additionally, the massive Supercharger project features 11MW of solar canopies and 10 Megapack batteries for off-grid charging powered entirely by solar energy.

Tesla completed the first phase of the project just days ahead of the busy Fourth of July holiday weekend, adding that initial construction took just eight months. In addition to the remaining charging stalls, Tesla says it’s building a set of lounge areas, renderings of which can be seen below alongside current photos of the site.

Notably, the site also includes V4 charging posts for the company’s latest available charging speeds, and it’s located near the busy junction between I-5 and Highway 46 in Kern County.

“Thank you [Kern County] and [PG&E] for collaboration and approvals,” Tesla wrote in a follow-up post.

Credit: Tesla Charging | X

Credit: Tesla Charging | X

Credit: Tesla Charging | X

Credit: Tesla Charging | X

READ MORE ON TESLA SUPERCHARGERS: Tesla launches ultra-fast V4 Superchargers in China for the first time

Testing at the LA Diner, plus Musk update on potential Tesla solar Gigafactory

The huge Tesla Supercharger station completed phase one of construction fairly quickly, especially given how long Tesla has been working on its unique Los Angeles diner, drive-in, and Supercharger location. Still, the company was seen performing some testing at the nearly-completed charging station earlier this month, and will reportedly be holding a job fair.

Elon Musk also responded on Monday morning to a post on X, suggesting that Tesla is “thinking about” building a U.S.-based solar Gigafactory in order to help support increased power needs with AI growth, and to bolster domestic solar production.

Tesla is building a new UFO-inspired Supercharger in the heart of Alien country

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Tesla driver walks away from major accident with minor injuries

The driver sustained only minor injuries, and the exact cause of the crash remains under investigation.

Published

8 hours ago

on

July 7, 2025

By

Credit: CHP Los Banos (via Facebook)

The driver of a Tesla Model Y survived and walked away from a harrowing accident on Monday in California, only sustaining minor injuries despite the vehicle being impaled by a guardrail.

On Monday morning around 4:34 a.m., the Los Banos division of the California Highway Patrol (CHP) responded to the accident on I-5 near Panoche Road, involving a 23-year-old in a Tesla Model Y. According to a post on social media, the driver veered off the road for unknown reasons in the northbound lane, before crashing directly into the guardrail and impaling the vehicle.

You can read the full message and photos from Los Banos CHP below, as were shared in a Facebook post on Monday afternoon.

This morning a Tesla model y was traveling in the #1 northbound lane of I-5 north of Panoche Rd. For unknown reasons driver allowed V-1 to veer off the roadway, travel through a dirt center divide, and crashed into the fixed metal guardrail. Lucky for the driver he only sustained minor injuries and was able to walk away. Driving a vehicle requires 100% attention to the road. Avoid distractions and focus on driving.

Credit: CHP Los Banos (via Facebook)

Credit: CHP Los Banos (via Facebook)

Credit: CHP Los Banos (via Facebook)

In a statement to SFGate, CHP officer Myles Anderson said that the driver only sustained minor injuries, while no arrests are made and drugs and alcohol are not suspected to have been involved. The report also notes that Tesla’s “cruise control and lane assistance features” were activated, according to Anderson. However, it’s not entirely clear if this is referring to Supervised Full Self-Driving (FSD), or to the cruise control and lane assist features baked into Autopilot.

At the time of writing, CHP has not yet responded to Teslarati’s request for clarification and additional details on the matter.

READ MORE ON TESLA SAFETY: Tesla rolls out crucial new safety feature aimed at saving children

The news comes after Tesla has touted its vehicles as incredibly safe for many years. In December, for example, the company highlighted receiving top safety scores from regulators on four different continents throughout the world, including from the National Highway Traffic Safety Administration (NHTSA) and the Insurance Institute of Highway Safety (IIHS) in the U.S.

Tesla has also listed the goal of making its vehicles the safest on the road throughout the years, both in the overall design of its vehicles and in its Autopilot and Full Self-Driving (FSD) programs.

Tesla Model 3 ranks as the safest new car in Europe for 2025, per Euro NCAP tests

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