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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.
Elon Musk
SpaceX to launch military missile tracking satellites through new Space Force contract
SpaceX wins a $178.5M Space Force contract to launch missile tracking satellites starting in 2027.
The U.S. Space Force awarded SpaceX a $178.5 million task order on April 1, 2026 to launch missile tracking satellites for the Space Development Agency. The contract, designated SDA-4, covers two Falcon 9 launches beginning in Q3 2027, one from Cape Canaveral Space Force Station in Florida and one from Vandenberg Space Force Base in California. The satellites, built by Sierra Space, are designed to bolster the nation’s ability to detect and track missile threats from orbit.
The award falls under the National Security Space Launch Phase 3 Lane 1 program, which Space Force uses to move payloads to orbit on faster timelines and at more competitive prices. “Our Lane 1 contract affords us the flexibility to deliver satellites for our customers, like SDA, more easily and faster than ever before to all the orbits our satellites need to reach,” said Col. Matt Flahive, SSC’s system program director for Launch Acquisition, in the official press release.
SpaceX is quietly becoming the U.S. Military’s only reliable rocket
The SDA-4 contract is the latest in a long string of national security wins for SpaceX. As Teslarati reported last month, the Space Force recently shifted a GPS III satellite launch from ULA’s Vulcan rocket to SpaceX’s Falcon 9 after a significant Vulcan booster anomaly grounded ULA’s military missions indefinitely. That move made it four consecutive GPS III satellites transferred to SpaceX after contracts were originally awarded to its competitor.
This didn’t come without a fight and dates back years. SpaceX originally had to sue the Air Force in 2014 for the right to compete for national security launches, at a time when United Launch Alliance held a near monopoly on the market. Since then, the company has steadily displaced ULA as the dominant provider, and last year the Space Force confirmed SpaceX would handle approximately 60 percent of all Phase 3 launches through 2032, worth close to $6 billion.
With missile defense satellites now part of its launch manifest alongside GPS, communications, and reconnaissance payloads, SpaceX is giving hungry investors something to chew on before its imminent IPO.
Elon Musk
Tesla’s Q1 delivery figures show Elon Musk was right
On the surface, the numbers reflect a mature EV market facing competition, softening demand, and the loss of certain incentives. Yet they also quietly validate a prediction Elon Musk has repeated for years: Tesla’s traditional auto business is becoming far less central to the company’s future.
Tesla reported its Q1 delivery figures on Thursday, and the figures — solid but unspectacular — show that CEO Elon Musk was right about what the company’s most important production and division would be.
We are seeing that shift occur in real time.
Tesla delivered 358,023 vehicles in the first quarter of 2026, according to the company’s official report released April 2.
The figure represents modest year-over-year growth of roughly 6 percent from Q1 2025’s 336,681 deliveries but a sharp sequential drop from Q4 2025’s 418,227. Production reached 408,386 vehicles, while energy storage deployments hit 8.8 GWh.
On the surface, the numbers reflect a mature EV market facing competition, softening demand, and the loss of certain incentives. Yet they also quietly validate a prediction Elon Musk has repeated for years: Tesla’s traditional auto business is becoming far less central to the company’s future.
Musk has long argued that vehicles alone will not define Tesla’s value.
Optimus Will Be Tesla’s Big Thing
In September 2025, Musk stated bluntly on X that “~80% of Tesla’s value will be Optimus,” the company’s humanoid robot.
He has described Optimus as potentially “more significant than the vehicle business over time.” Those comments were not abstract futurism. In January 2026, during the Q4 2025 earnings call, Musk announced the end of Model S and X production, framing it as an “honorable discharge,” he called it.
Those are the biggest factors.
~80% of Tesla’s value will be Optimus.
— Elon Musk (@elonmusk) September 1, 2025
The Fremont factory space, once dedicated to those flagship sedans, is being converted into an Optimus manufacturing line, with a long-term target of one million robots per year from that single facility alone.
The Q1 2026 numbers arrive at precisely the moment this strategic pivot is accelerating. Model 3 and Y deliveries totaled 341,893 units, while “other models” (including Cybertruck, Semi, and the final wave of S/X) added 16,130.
Growth is no longer explosive because Tesla is no longer chasing volume at all costs. Instead, the company is reallocating capital and factory floor space toward autonomy, energy storage, and robotics, businesses Musk believes will command far higher margins and enterprise value than incremental car sales.
Delivery Hits and Misses are Becoming Less Important
Wall Street’s pre-release consensus had pegged deliveries near 365,000. Coming in below that estimate might have rattled investors focused solely on automotive metrics. Yet Musk’s thesis has never been about maximizing quarterly vehicle shipments.
Tesla, he has insisted, “has never been valued strictly as a car company.”
The modest Q1 auto performance, paired with the deliberate wind-down of legacy programs and the ramp of Optimus, underscores that point. While EV demand stabilizes, Tesla is building the infrastructure for Robotaxis and humanoid robots that could dwarf today’s car business.
The future is here, and it is happening. It’s funny to think about how quickly Tesla was able to disrupt the traditional automotive business and force many car companies to show their hand. But just as fast as Tesla disrupted that, it is now moving to disrupt its own operation.
Cars, once the only recognizable and widely-known division of Tesla, is now becoming a background effort, slowly being overtaken by the company’s ambitions to dominate AI, autonomy, and robotics for years to come.
Critics may still view the shift as risky or premature. But the Q1 figures, solid but unspectacular in the auto segment, illustrate exactly what Musk has been signaling: the era when Tesla’s valuation rose and fell with every Model Y delivery is ending.
The company’s long-term bet is on AI-driven products that turn vehicles into high-margin robotaxis and factories into robot foundries. Thursday’s delivery report did not just meet the market’s tempered expectations; it proved Elon Musk was right all along.
The car business, once everything, is quietly becoming an important piece of a much larger puzzle.
Investor's Corner
Tesla reports Q1 deliveries, missing expectations slightly
The figure, however, fell short of Wall Street’s consensus estimate of 365,645 units, reflecting ongoing headwinds in the global EV market.
Tesla reported deliveries for the first quarter of 2026 today, missing expectations set by Wall Street analysts slightly as the company aims to have a massive year in terms of sales, along with other projects.
Tesla delivered 358,023 vehicles in the first quarter of 2026, marking a 6.3 percent increase from 336,681 vehicles in Q1 2025.
The figure, however, fell short of Wall Street’s consensus estimate of 365,645 units, reflecting ongoing headwinds in the global EV market. Production reached approximately 362,000 vehicles, with Model 3 and Model Y accounting for the vast majority. The results come as Tesla navigates softening demand, intensifying competition in China and Europe, and the expiration of key U.S. federal tax incentives.
🚨 BREAKING: Tesla delivered 358,023 vehicles in Q1 2026
Tesla also reported record energy deployments of 8.8 GWh
Wall Street had delivery consensus estimates of 365,645 pic.twitter.com/EVNAu5L3UT
— TESLARATI (@Teslarati) April 2, 2026
Energy storage deployments provided a bright spot, hitting a record 8.8 GWh in Q1. This underscores the accelerating momentum in Tesla’s energy segment, which has become a critical growth driver even as automotive volumes stabilize.
Year-over-year, the energy business continues to outpace vehicle sales, with analysts noting strong backlog demand for Megapack systems amid rising grid-scale needs for renewables and AI data centers.
Looking ahead, analysts project full-year 2026 vehicle deliveries in the range of 1.69 million units—a modest 3-5% rise from roughly 1.64 million in 2025.
Growth is expected to accelerate in the second half as production ramps and new incentives emerge in select markets. However, risks remain: persistent high interest rates, price competition from legacy automakers and Chinese EV makers, and potential margin pressure could cap upside.
Tesla has not issued official full-year guidance, but executives have signaled confidence in sequential quarterly improvements driven by cost reductions and refreshed lineups.
By the end of 2026, Tesla plans several major product launches to reignite momentum. The refreshed Model Y, including a new 7-seater variant already rolling out in select markets, is expected to boost family-oriented sales with updated styling, efficiency gains, and interior enhancements.
Autonomous ambitions remain central to Tesla’s mission, and that’s where the vast majority of the attention has been put. Volume production of the Cybercab (Robotaxi) is targeted to begin ramping in 2026, potentially unlocking new revenue streams through unsupervised Full Self-Driving (FSD) deployment.
A next-generation affordable EV platform, possibly under $30,000, is also in advanced planning stages for 2026 or 2027 introduction. On the energy front, the Megapack 3 and larger Megablock systems will drive further deployment scale.
While Q1 highlights transitional challenges in autos, Tesla’s diversified roadmap, spanning refreshed consumer vehicles, commercial trucks, Robotaxis, and explosive energy growth, positions the company for a stronger second half and beyond. Investors will watch Q2 closely for signs of sustained recovery, especially with new vehicles potentially on the horizon.
SpaceX to launch military missile tracking satellites through new Space Force contract
Tesla’s Q1 delivery figures show Elon Musk was right
Tesla reports Q1 deliveries, missing expectations slightly
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