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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.

Elon Musk

Tesla Supercharger Diner food menu gets a sneak peek as construction closes out

What are you ordering at the Tesla Diner?

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Credit: BradGoldbergMD | X

The Tesla Supercharger Diner in Los Angeles is nearing completion as construction appears to be winding down significantly. However, the more minor details, such as what the company will serve at its 50s-style diner for food, are starting to be revealed.

Tesla’s Supercharger Diner is set to open soon, seven years after CEO Elon Musk first drafted the idea in a post on X in 2018. Musk has largely come through on most of what he envisioned for the project: the diner, the massive movie screens, and the intended vibe are all present, thanks to the aerial and ground footage shared on social media.

We already know the Diner will be open 24/7, based on decals placed on the front door of the restaurant that were shared earlier this week. We assume that Tesla Optimus will come into play for these long and uninterrupted hours.

The Tesla Diner is basically finished—here’s what it looks like

As far as the food, Tesla does have an email also printed on the front door of the Diner, but we did not receive any response back (yet) about what cuisine it will be offering. We figured it would be nothing fancy and it would be typical diner staples: burgers, fries, wings, milkshakes, etc.

According to pictures taken by @Tesla_lighting_, which were shared by Not a Tesla App, the food will be just that: quick and affordable meals that diners do well. It’s nothing crazy, just typical staples you’d find at any diner, just with a Tesla twist:

As the food menu is finalized, we will be sure to share any details Tesla provides, including a full list of what will be served and its prices.

Additionally, the entire property appears to be nearing its final construction stages, and it seems it may even be nearing completion. The movie screens are already up and showing videos of things like SpaceX launches.

There are many cars already using the Superchargers at the restaurant, and employees inside the facility look to be putting the finishing touches on the interior.

It’s almost reminiscent of a Tesla version of a Buc-ee’s, a southern staple convenience store that offers much more than a traditional gas station. Of course, Tesla’s version is futuristic and more catered to the company’s image, but the idea is the same.

It’s a one-stop shop for anything you’d need to recharge as a Tesla owner. Los Angeles building permits have not yet revealed the date for the restaurant’s initial operation, but Tesla may have its eye on a target date that will likely be announced during next week’s Earnings Call.

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Tesla’s longer Model Y did not scale back requests for this vehicle type from fans

Tesla fans are happy with the new Model Y, but they’re still vocal about the need for something else.

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Credit: AlwinArt/Twitter

Tesla launched a slightly longer version of the Model Y all-electric crossover in China, and with it being extremely likely that the vehicle will make its way to other markets, including the United States, fans are still looking for something more.

The new Model Y L in China boasts a slightly larger wheelbase than its original version, giving slightly more interior room with a sixth seat, thanks to a third row.

Tesla exec hints at useful and potentially killer Model Y L feature

Tesla has said throughout the past year that it would focus on developing its affordable, compact models, which were set to begin production in the first half of the year. The company has not indicated whether it met that timeline or not, but many are hoping to see unveilings of those designs potentially during the Q3 earnings call.

However, the modifications to the Model Y, which have not yet been officially announced for any markets outside of China, still don’t seem to be what owners and fans are looking forward to. Instead, they are hoping for something larger.

A few months ago, I reported on the overall consensus within the Tesla community that the company needs a full-size SUV, minivan, or even a cargo van that would be ideal for camping or business use.

Tesla is missing one type of vehicle in its lineup and fans want it fast

That mentality still seems very present amongst fans and owners, who state that a full-size SUV with enough seating for a larger family, more capability in terms of cargo space for camping or business operation, and something to compete with gas cars like the Chevrolet Tahoe, Ford Expedition, or electric ones like the Volkswagen ID.BUZZ.

We asked the question on X, and Tesla fans were nearly unanimously in support of a larger SUV or minivan-type vehicle for the company’s lineup:

Here’s what some of the respondents said:

Tesla is certainly aware that many of its owners would like the company to develop something larger that competes with the large SUVs on the market.

However, it has not stated that anything like that is in the current plans for future vehicles, as it has made a concerted effort to develop Robotaxi alongside the affordable, compact models that it claims are in development.

It has already unveiled the Robovan, a people-mover that can seat up to 20 passengers in a lounge-like interior.

The Robovan will be completely driverless, so it’s unlikely we will see it before the release of a fully autonomous Full Self-Driving suite from Tesla.

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Energy

Tesla launches first Virtual Power Plant in UK – get paid to use solar

Tesla has launched its first-ever Virtual Power Plant program in the United Kingdom.

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Credit: Tesla Energy | X

Tesla has launched its first-ever Virtual Power Plant program in the United Kingdom. This feature enables users of solar panels and energy storage systems to sell their excess energy back to the grid.

Tesla is utilizing Octopus Energy, a British renewable energy company that operates in multiple markets, including the UK, France, Germany, Italy, Spain, Australia, Japan, New Zealand, and the United States, as the provider for the VPP launch in the region.

The company states that those who enroll in the program can earn up to £300 per month.

Tesla has operated several VPP programs worldwide, most notably in California, Texas, Connecticut, and the U.S. territory of Puerto Rico. This is not the first time Tesla has operated a VPP outside the United States, as there are programs in Australia, Japan, and New Zealand.

This is its first in the UK:

Tesla is not the only company that is working with Octopus Energy in the UK for the VPP, as it joins SolarEdge, GivEnergy, and Enphase as other companies that utilize the Octopus platform for their project operations.

It has been six years since Tesla launched its first VPP, as it started its first in Australia back in 2019. In 2024, Tesla paid out over $10 million to those participating in the program.

Tesla VPP program in California hits new capacity milestone

Participating in the VPP program that Tesla offers not only provides enrolled individuals with the opportunity to earn money, but it also contributes to grid stabilization by supporting local energy grids.

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