

News
Tesla FSD Beta 10.69.2.2 extending to 160k owners in US and Canada: Elon Musk
It appears that after several iterations and adjustments, FSD Beta 10.69 is ready to roll out to the greater FSD Beta program. Elon Musk mentioned the update on Twitter, with the CEO stating that v10.69.2.2. should extend to 160,000 owners in the United States and Canada.
Similar to his other announcements about the FSD Beta program, Musk’s comments were posted on Twitter. “FSD Beta 10.69.2.1 looks good, extending to 160k owners in US & Canada,” Musk wrote before correcting himself and clarifying that he was talking about FSD Beta 10.69.2.2, not v10.69.2.1.
While Elon Musk has a known tendency to be extremely optimistic about FSD Beta-related statements, his comments about v10.69.2.2 do reflect observations from some of the program’s longtime members. Veteran FSD Beta tester @WholeMarsBlog, who does not shy away from criticizing the system if it does not work well, noted that his takeovers with v10.69.2.2 have been marginal. Fellow FSD Beta tester @GailAlfarATX reported similar observations.
Tesla definitely seems to be pushing to release FSD to its fleet. Recent comments from Tesla’s Senior Director of Investor Relations Martin Viecha during an invite-only Goldman Sachs tech conference have hinted that the electric vehicle maker is on track to release “supervised” FSD around the end of the year. That’s around the same time as Elon Musk’s estimate for FSD’s wide release.
It should be noted, of course, that even if Tesla manages to release “supervised” FSD to consumers by the end of the year, the version of the advanced driver-assist system would still require drivers to pay attention to the road and follow proper driving practices. With a feature-complete “supervised” FSD, however, Teslas would be able to navigate on their own regardless of whether they are in the highway or in inner-city streets. And that, ultimately, is a feature that will be extremely hard to beat.
Following are the release notes of FSD Beta v10.69.2.2, as retrieved by NotaTeslaApp:
– 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 connectivities. 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.
– 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 maneuvers.
– 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 optimisable 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.
– 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.
– 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.
– 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.
– 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.
– Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects.
– Improved recall of animals by 34% by doubling the size of the auto-labeled training set.
– 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.
– 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.
– Improved speed when entering highway by better handling of upcoming map speed changes, which increases the confidence of merging onto the highway.
– Reduced latency when starting from a stop by accounting for lead vehicle jerk.
– Enabled faster identification of red light runners by evaluating their current kinematic state against their expected braking profile.
Press the “Video Record” button on the top bar UI to share your feedback. When pressed, your vehicle’s external cameras will share a short VIN-associated Autopilot Snapshot with the Tesla engineering team to help make improvements to FSD. You will not be able to view the clip.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
Elon Musk
Tesla engineer explains why Elon Musk deserves new pay package
“When Elon is motivated, it also motivates us, especially in this fork of humanity. I would not be staying in Tesla this long unless he is still leading.”

A Tesla engineer took to X to explain why he believes Elon Musk deserved the new 96 million share, $29 billion pay package that the company awarded to him yesterday.
Yun-Ta Tsai, a Senior Staff Engineer in the Autopilot program at Tesla, has worked at the company for five years. He has been in his current position for two years and three months.
Tesla rewards CEO Elon Musk with massive, restricted stock package
Tsai posted a lengthy statement in response to Tesla announcing its new pay package for Musk, which the company’s Board of Directors announced yesterday. He was fully in support of his boss getting paid, especially considering Musk “came to work every day” without being paid for eight years.
Tsai said:
“8 years without pay, but Elon still came to work everyday despite hitting all the milestones.
Most founders, even being paid much better, would simply abandon ships or being “zucked”.
I often joked my annual comp was higher than Elon but it was true.
When Elon is motivated, it also motivates us, especially in this fork of humanity. I would not be staying in Tesla this long unless he is still leading.
Hopefully Elon gets his first paycheck soon after 8 years of grinding in hell. It is time.”
It’s no secret that Musk has the reputation of someone who is incredibly driven, motivated, and determined to come through on his personal and professional goals. In times of need at the company, Musk sleeps at the office and works seven days a week.
Recently, it came to the surface that he nearly missed his brother’s wedding years ago because of work.
8 years without pay, but Elon still came to work everyday despite hitting all the milestones.
Most founders, even being paid much better, would simply abandon ships or being “zucked”.
I often joked my annual comp was higher than Elon but it was true.
When Elon is motivated,… https://t.co/zboBpiMH4u
— Yun-Ta Tsai (@YunTaTsai1) August 4, 2025
Musk’s attitude toward work is what has made Tesla, SpaceX, Neuralink, and other entities so successful.
Musk’s new pay package
Tesla announced the new pay package for Musk yesterday, under the following terms:
- 96 million restricted shares of stock, subject to Elon paying a purchase price upon meeting a two-year vesting term, to be delivered after receipt of antitrust regulatory approval
- The purchase price will be equal to the split-adjusted exercise price of the stock options awarded to Elon under the 2018 CEO Performance Award ($23.34 per share)
- A requirement that Elon serve continuously in a senior leadership role at Tesla during the two-year vesting term
- A pledging allowance to cover tax payments or the purchase price
- A mandatory holding period of five years from the grant date, except to cover tax payments or the purchase price (with any sales for such purposes to be conducted through an orderly disposition in coordination with Tesla); and
- If the Delaware courts fully reinstate the 2018 CEO Performance Award, this interim award will be forfeited or returned or a portion of the 2018 CEO Performance Award will be forfeited. To put it simply, there cannot be any “double dip.” Elon will not be able to keep this new award in addition to the options he will be awarded under the 2018 CEO Performance Award, should the courts rule in our favor
The board added a statement that said it believed now would be an ideal time “to take decisive action to recognize the extraordinary value that Elon created for Tesla shareholders.”
News
Tesla Cybertruck leftovers are the main course at the Supercharger Diner
Tesla is using recycled steel from Cybertruck manufacturing for the Supercharger Diner in Los Angeles.

Tesla Cybertruck panels that are leftover from manufacturing became the main course at the Supercharger Diner, contributing to the futuristic restaurant’s unique exterior design.
The Supercharger Diner was an idea of Tesla CEO Elon Musk’s in 2018, and in July 2025, it officially opened for business, serving a variety of interesting dishes in a futuristic setting that pays homage to the 1950s restaurant experience.
The design of the Diner is what truly sets it apart: it is reminiscent of the stainless exterior that Tesla used for the Cybertruck. It turns out that’s exactly what it is.

Credit: Tesla
Tesla Chief Designer Franz von Holzhausen revealed in an interview with Tesla Owners Club Austria that the company used recycled panels from Cybertruck manufacturing as siding on the epic diner.
Here’s what he said:
Tesla Diner was inspired by the Jetson‘s and was built with steel from @cybertruck production 🛸 pic.twitter.com/3t4038RY4H
— Tesla Club Austria (@TeslaClubAT) August 4, 2025
Tesla sourced its stainless steel for the exoskeleton of the Cybertruck from Steel Dynamics Inc. and its plant in Sinton, Texas. The company confirmed this through various outlets, including exhibit descriptions at the Petersen Automotive Museum. The steel is refined through a third party before it is used.

Credit: Cybertruck Owners Club
It also uses the same steel for SpaceX Starship.
It’s pretty interesting that Tesla chose to use the stainless steel for the exterior of the diner in Los Angeles, but it also makes sense considering how durable it has proven to be.
Elon Musk
Tesla ‘activist shareholders’ sue company and Elon Musk for Robotaxi rollout
Tesla’s activist shareholders are coming after the company, claiming it misled investors about the Robotaxi rollout.

Tesla’s “activist shareholders” seem to be one of the biggest threats to the company and its CEO, Elon Musk, who has spoken extensively about them in recent times. They’re up to their latest bit of work against the company, suing both Tesla and Musk, accusing them of securities fraud by alleging they concealed “significant risk” over the Robotaxi launch in Austin, Texas.
On Monday night, a group of shareholders sued Tesla and Musk in a proposed class action lawsuit in Texas federal court. They claim Tesla misled investors about the safety of the vehicles used in the Robotaxi rollout in Austin, which started on June 22.
The suit indicates that videos show the vehicles “speeding, exhibiting sudden braking, driving over a curb, entering the wrong lane, and dropping passengers off in the middle of multilane roads.” Reuters first reported on the lawsuit.
The plaintiffs are seeking damages for shareholders between April 19, 2023, and June 22, 2025.
Tesla’s Robotaxi platform has been operating for less than two months, and the company has already expanded its geofence in Austin twice.
🚨 Tesla Austin Robotaxi geofence sizes (in square miles):
Initial: 6/22 – ~20 square miles
First Expansion: 7/14 – ~42 square miles
Second Expansion: 8/3 – ~80 square miles pic.twitter.com/IwnvSJseE4
— TESLARATI (@Teslarati) August 3, 2025
In the roughly six weeks that Robotaxi has been operational, Tesla has only had one incident reported to the Austin Government, and it was a “Safety Concern” in June 2025. Since July 2023, which is when autonomous vehicle operation began in Austin, 130 incidents have been reported. AV Ride, Cruise, Waymo, and Zoox also operate in Austin.
Waymo has the most incidents with 73. Its first was in June 2024 when a unit blocked traffic.
Activist Shareholders
Musk has warned that activist shareholders are potentially dangerous to both Tesla and his position as CEO. He recently spoke about them during the Q2 Earnings Call regarding his stake in the company:
“That is a major concern for me, as I’ve mentioned in the past. I hope that is addressed at the upcoming shareholders meeting. But, yeah, it is a big deal. I want to find that I’ve got so little control that I can easily be ousted by activist shareholders after having built this army of humanoid robots. I think my control over Tesla, Inc. should be enough to ensure that it goes in a good direction, but not so much control that I can’t be thrown out if I go crazy.”
Tesla’s Board yesterday made an attempt to help secure Musk’s stake by offering him a massive 96 million share pay package of restricted stock. It will only help his stake in the company bump up slightly to 14.6 percent from 12.9 percent.
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