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Tesla FSD Beta 10.69 release notes highlight better left turns, smoother driving
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.
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SpaceX has revealed the date for the maiden voyage of Starship v3, its newest and most advanced version of the rocket yet.
Starship v3 represents a significant leap forward. At 124 meters tall when fully stacked, it stands taller than previous versions and boasts substantial upgrades.
The vehicle incorporates next-generation Raptor 3 engines, which deliver higher thrust, improved reliability, and simplified designs with fewer parts. Both the Super Heavy booster (Booster 19) and the Starship upper stage (Ship 39) feature these enhancements, along with structural improvements for greater payload capacity—exceeding 100 metric tons to low Earth orbit in reusable configuration.
SpaceX and its CEO Elon Musk have announced that the company aims to push the first launch of Starship v3 this Thursday. Musk included some clips of past Starship launches with the announcement.
Now targeting launch as early as Thursday, May 21 → https://t.co/2gZQUxS6mm
— SpaceX (@SpaceX) May 19, 2026
First Starship V3 launch later this week! pic.twitter.com/JFX4CrSfnY
— Elon Musk (@elonmusk) May 19, 2026
There are a lot of improvements to Starship v3 from past builds. Key hardware changes include a more robust heat shield, upgraded avionics, and modifications optimized for orbital refueling, a critical technology for future missions to the Moon and Mars. This flight marks the first launch from Starbase’s second orbital pad, allowing parallel operations and accelerating the cadence of tests.
This will be the 12th Starship launch for SpaceX. Flight 12 objectives include a full ascent profile, hot-staging separation, in-space engine relights, and reentry testing. The booster is expected to perform a controlled splashdown in the Gulf of Mexico, while the ship will deploy 20 Starlink simulator satellites and a pair of modified Starlink V3 units before attempting reentry.
Success would validate V3’s design for operational use, paving the way for rapid reusability and higher flight rates.
The rapid evolution from V2 to V3 underscores SpaceX’s iterative approach. Previous flights demonstrated booster catches, ship landings, and heat shield advancements. V3 builds on these with nearly every component refined, supported by an expanding production line at Starbase that churns out vehicles at an unprecedented pace.
Starship V3 is here putting SpaceX closer to Mars than it has ever been
This launch comes amid growing momentum for SpaceX’s ambitious goals. Starship is central to NASA’s Artemis program for lunar landings and Elon Musk’s vision of making humanity multiplanetary. A successful V3 debut would boost confidence in achieving orbital refueling and crewed missions in the coming years.
As excitement builds, enthusiasts and engineers alike await liftoff. Weather and technical readiness will determine the exact timing, but the community is optimistic. Starship V3 is poised to push the boundaries of spaceflight once again, bringing reusable interplanetary transport closer to reality.
Elon Musk broke his silence regarding the jury decision to throw out the case against OpenAI and Sam Altman. The Tesla, SpaceX, and xAI frontman has already indicated that an appeal will be filed regarding the decision, which went against him yesterday.
A Federal jury dismissed this high-profile lawsuit after less than two hours of deliberation due to a statute-of-limitations issue.
In a strongly worded post on X on May 18, Musk addressed the federal jury’s dismissal of his high-profile lawsuit against OpenAI, vowing to appeal the ruling to the Ninth Circuit Court of Appeals. The decision, according to Musk, was centered not on the substantive claims but on a statute-of-limitations technicality.
Musk’s lawsuit, filed in 2024, accused OpenAI co-founders Sam Altman and Greg Brockman of breaching the organization’s original nonprofit mission. OpenAI was established in 2015 as a non-profit dedicated to developing artificial intelligence for the benefit of all humanity, with Musk as a key early donor and co-founder before departing in 2018.
Musk alleged that Altman and Brockman improperly shifted the company toward a for-profit model, enriched themselves through massive valuations and partnerships (including with Microsoft), and betrayed founding agreements.
In his post, Musk emphasized that the judge and jury “never actually ruled on the merits of the case, just on a calendar technicality.” He stated unequivocally: “There is no question to anyone following the case in detail that Altman & Brockman did in fact enrich themselves by stealing a charity. The only question is WHEN they did it!”
Regarding the OpenAI case, the judge & jury never actually ruled on the merits of the case, just on a calendar technicality.
There is no question to anyone following the case in detail that Altman & Brockman did in fact enrich themselves by stealing a charity. The only question…
— Elon Musk (@elonmusk) May 18, 2026
Musk argued that allowing such actions to stand without review sets a dangerous precedent. “I will be filing an appeal with the Ninth Circuit, because creating a precedent to loot charities is incredibly destructive to charitable giving in America,” he wrote. He reiterated OpenAI’s founding purpose: “OpenAI was founded to benefit all of humanity.”
The jury’s unanimous advisory verdict found that Musk’s claims of breach of charitable trust and unjust enrichment were filed outside California’s three-year statute of limitations. U.S. District Judge Yvonne Gonzalez Rogers adopted the finding and dismissed the case. OpenAI hailed the outcome as vindication, while Musk’s legal team immediately signaled plans to appeal.
The trial, which featured testimony from Musk, Altman, Brockman, Microsoft CEO Satya Nadella, and others, exposed deep rifts in Silicon Valley over AI’s direction.
Musk has long warned that profit-driven AI development, especially with closed models and powerful corporate ties, risks endangering humanity—contrasting it with OpenAI’s original open, safety-focused charter. OpenAI countered that the suit stemmed from business rivalry and that Musk himself had explored for-profit paths earlier.
Musk’s appeal could prolong the saga, potentially affecting OpenAI’s valuation (reportedly over $800 billion) and IPO ambitions. Supporters view his stance as defending nonprofit integrity, while critics see it as sour grapes from a competitor whose own xAI is racing in the AI arena.
Regardless of the legal outcome, the case has spotlighted critical questions about trust, governance, and mission drift in the rapidly evolving AI industry. Musk’s willingness to fight on suggests this chapter is far from closed, with broader implications for how charitable organizations—and the tech giants born from them—operate in the future.
Elon Musk
NASA updated Artemis III and SpaceX’s role just got more complicated
SpaceX’s Starship is the key to NASA’s Moon plan and the timeline is already slipping.
SpaceX has been at the center of NASA’s Moon ambitions for five years, and the updated Artemis III plan recently released by NASA makes that relationship more visible than ever. In April 2021, NASA awarded SpaceX a $2.89 billion contract to develop the Starship Human Landing System, selecting it as the sole provider to land astronauts on the Moon under Artemis III. Blue Origin filed legal protests, lost, and eventually received its own contract, but SpaceX was always the program’s primary lander contractor.
The original plan called for Starship to land two astronauts on the lunar south pole. That mission slipped as Starship development ran behind schedule, and in February 2026, NASA officially revised the Artemis III architecture entirely. The mission will now remain in low Earth orbit and serve as a crewed rendezvous and docking test between the Orion spacecraft and both the SpaceX Starship HLS pathfinder and Blue Origin’s Blue Moon Mark 2 pathfinder, with the actual Moon landing pushed to Artemis IV in 2028.
What makes SpaceX’s position particularly significant is the direct line between this week’s Starship V3 launch and the Artemis timeline. The Starship HLS is essentially a modified version of the V3 upper stage, meaning SpaceX cannot realistically prepare a lander for a 2027 docking test until it has demonstrated that the base vehicle flies reliably at scale. Flight 12, targeting this week, is the first data point in that sequence.
NASA has spent nearly $7 billion on Human Landing System development since awarding contracts to SpaceX and Blue Origin in 2021 and 2023, and NASA administrator Jared Isaacman has indicated a desire to drive down costs going forward. As Teslarati reported, before Starship HLS can put anyone on the Moon it has to solve a problem no rocket has demonstrated at scale, which is refueling in orbit, requiring approximately ten tanker launches worth of propellant loaded into a depot before the lander has enough fuel to reach the lunar surface.
The Artemis III mission described by NASA is essentially a stress test for every system that needs to work before any of that happens.
SpaceX has gone from a launch contractor to the single most critical hardware provider in America’s return-to-the-Moon program. With an IPO targeting a $1.75 trillion valuation and Elon Musk’s compensation tied directly to Mars colonization, the pressure on every Starship milestone between now and 2028 has never been higher.
SpaceX reveals date for maiden Starship v3 launch
Elon Musk breaks silence on OpenAI trial decision
