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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.
News
Starship Flight 9 nears as SpaceX’s Starbase becomes a Texan City
SpaceX’s launch site is officially incorporated as Starbase, TX. Starship Flight 9 could launch on May 27, 2025.

SpaceX’s Starbase is officially incorporated as a city in Texas, aligning with preparations for Starship Flight 9. The newly formed city in Cameron County serves as the heart of SpaceX’s Starship program.
Starbase City spans 1.5 square miles, encompassing SpaceX’s launch facility and company-owned land. A near-unanimous vote by residents, who were mostly SpaceX employees, led to its incorporation. SpaceX’s Vice President of Test and Launch, Bobby Peden, was elected mayor of Starbase. The new Texas city also has two SpaceX employees as commissioners. All Starbase officials will serve two-year terms unless extended to four by voters.
As the new city takes shape, SpaceX is preparing for the Starship Flight 9 launch, which is tentatively scheduled for May 27, 2025, at 6:30 PM CDT from Starbase, Texas.
SpaceX secured Federal Aviation Administration (FAA) approval for up to 25 annual Starship and Super Heavy launches from the site. However, the FAA emphasized that “there are other licensing requirements still to be completed,” including policy, safety, and environmental reviews.
On May 15, the FAA noted SpaceX updated its launch license for Flight 9, but added: “SpaceX may not launch until the FAA either closes the Starship Flight 8 mishap investigation or makes a return to flight determination. The FAA is reviewing the mishap report SpaceX submitted on May 14.”
Proposed Texas legislation could empower Starbase officials to close local highways and restrict Boca Chica Beach access during launches. Cameron County Judge Eddie Trevino, Jr., opposes the Texas legislation, insisting beach access remain under county control. This tension highlights the balance between SpaceX’s ambitions and local interests.
Starbase’s incorporation strengthens SpaceX’s operational base as it gears up for Starship Flight 9, a critical step in its mission to revolutionize space travel. With growing infrastructure and regulatory hurdles in focus, Starbase is poised to become a cornerstone of SpaceX’s vision, blending community development with cutting-edge aerospace innovation.
News
The Boring Company accelerates Vegas Loop expansion plans
The Boring Company clears fire safety delays, paving the way to accelerating its Vegas Loop expansion plans.

After overcoming fire safety hurdles, the Boring Company is accelerating its Vegas Loop expansion. The project’s progress signals a transformative boost for Sin City’s transportation and tourism.
Elon Musk’s tunneling company, along with The Las Vegas Convention and Visitors Authority (LVCVA) and Clark County, resolved fire safety concerns that delayed new stations.
“It’s new. It’s taken a little time to figure out what the standard should be,” said Steve Hill, LVCVA President and CEO, during last week’s board meeting. “We’ve gotten there. We’re excited about that. We’re ready to expand further, faster, than we have.”
Last month, the company submitted permits for tunnel extensions connecting Encore to a parcel of land owned by Wynn and Caesars Palace. The three tunnels are valued at $600,000 based on country records.
Plans for a Tropicana Loop are also advancing, linking UNLV to MGM Grand, T-Mobile Arena, Allegiant Stadium, Mandalay Bay, and the upcoming Athletics’ ballpark. Downtown extensions from the convention center to the Strat, Fremont Street Experience, and Circa’s Garage Mahal are also in the permitting process.
“Those are all in process,” Hill noted. “We’ve got machines that are available to be put in the ground. I think we’ve reached a framework for how these projects are going to work and how they’ll be permitted from a safety standpoint, as well as a building standpoint.”
The Boring Company has six boring machines, with three currently active in Las Vegas. Last week, TBC announced that it successfully mined continuously in a Zero-People-in-Tunnel (ZPIT) configuration, enabling it to build more tunnels faster, safer, and at a more affordable rate.
Tunneling under Paradise Road is underway as The Boring Company works on the University Center Loop. The University Center Loop is expected to connect to the Las Vegas Convention Center within two months, linking to the Westgate tunnel. The full Vegas Loop will span 104 stations and 68 miles. Even though The Boring Company’s tunnel network in Las Vegas isn’t nearly finished, it has already become a key attraction in the city.
“It’s such a great attraction for shows that are looking at this building (convention center) and we’re going to be connected to everybody in town,” Hill said. “It’s a real difference-maker.”
A few Vegas Loop stations are already operational, including those connected to Resorts World, Westgate, Encore, and all the Las Vegas Convention Center Loop stations. The Downtown Loop, which connects to the downtown area, and the Riviera Station, the hub that leads to Resorts World with Westgate destinations, are also operational.
As The Boring Company accelerates the Vegas Loop, its tunnels are poised to redefine mobility and tourism in Las Vegas, blending cutting-edge technology with practical urban solutions.
News
Neuralink Blindsight human trials expected to start in the UAE
Neuralink aims to restore vision with its Blindsight BCI implant. First human implant for Blindsight may happen in UAE.

During Elon Musk’s interview at the Qatar Economic Forum, he announced that Neuralink aims to implant its Blindsight brain-to-computer interface (BCI) device in a human patient by late 2025 or early 2026.
Blindsight focuses on restoring vision. A few years ago, Musk mentioned that Neuralink’s BCI devices would restore vision for people, even those born blind.
“The first two applications we’re going to aim for in humans are restoring vision, and I think this is notable in that even if someone has never had vision ever, like they were born blind, we believe we can still restore vision. The visual part of the cortex is still there. Even if they’ve never seen before, we’re confident they could see,” Musk said during Neuralink’s Show & Tell in 2022.
Musk said Blindsight could be implanted into a human patient in the United Arab Emirates (UAE). Neuralink plans to partner with the Cleveland Clinic Abu Dhabi to implant the first human patient with Blindsight.
Elon Musk’s neurotechnology company is partnering with the Cleveland Clinic Abu Dhabi to conduct the first clinical trial of the UAE-PRIME study. Like Neuralink’s PRIME study in the United States, UAE-PRIME will focus on human patients with motor and speech impairments.
Neuralink received Food and Drug Administration (FDA) approval to conduct the PRIME and CONVOY studies in the United States. PRIME tests the capabilities of the company’s Link implant to restore or enable motor and speech in participants. Meanwhile, the CONVOY study explores Link’s ability to control assistive robotic devices. Neuralink already has an assistive robotic arm called ARA that could expand patients’ autonomy beyond smart devices.
Blindsight would probably require a separate study from PRIME and CONVOY. As such, Neuralink might need FDA approval in the United States to start human trials for Blindsight. However, Blindsight already received a “breakthrough device” designation from the US FDA.
In April 2025, Neuralink opened its patient registry to participants worldwide. The neurotechnology company has already implanted its Link BCI device into five patients. Earlier this year, Neuralink welcomed one of its first PRIME study participants as the first patient in its CONVOY study.
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