News
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.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
Elon Musk
Elon Musk’s X goes down as users report major outage Friday morning
Error messages and stalled loading screens quickly spread across the service, while outage trackers recorded a sharp spike in user reports.
Elon Musk’s X experienced an outage Friday morning, leaving large numbers of users unable to access the social media platform.
Error messages and stalled loading screens quickly spread across the service, while outage trackers recorded a sharp spike in user reports.
Downdetector reports
Users attempting to open X were met with messages such as “Something went wrong. Try reloading,” often followed by an endless spinning icon that prevented access, according to a report from Variety. Downdetector data showed that reports of problems surged rapidly throughout the morning.
As of 10:52 a.m. ET, more than 100,000 users had reported issues with X. The data indicated that 56% of complaints were tied to the mobile app, while 33% were related to the website and roughly 10% cited server connection problems. The disruption appeared to begin around 10:10 a.m. ET, briefly eased around 10:35 a.m., and then returned minutes later.
Previous disruptions
Friday’s outage was not an isolated incident. X has experienced multiple high-profile service interruptions over the past two years. In November, tens of thousands of users reported widespread errors, including “Internal server error / Error code 500” messages. Cloudflare-related error messages were also reported.
In March 2025, the platform endured several brief outages spanning roughly 45 minutes, with more than 21,000 reports in the U.S. and 10,800 in the U.K., according to Downdetector. Earlier disruptions included an outage in August 2024 and impairments to key platform features in July 2023.
News
Tesla wins top loyalty and conquest honors in S&P Global Mobility 2025 awards
The electric vehicle maker secured this year’s “Overall Loyalty to Make,” “Highest Conquest Percentage,” and “Ethnic Loyalty to Make” awards.
Tesla emerged as one of the standout winners in the 2025 S&P Global Mobility Automotive Loyalty Awards, capturing top honors for customer retention and market conquest.
The electric vehicle maker secured this year’s “Overall Loyalty to Make,” “Highest Conquest Percentage,” and “Ethnic Loyalty to Make” awards.
Tesla claims loyalty crown
According to S&P Global Mobility, Tesla secured its 2025 “Overall Loyalty to Make” award following a late-year shift in consumer buying patterns. This marked the fourth consecutive year Tesla has received the honor. S&P Global Mobility’s annual analysis reviewed 13.6 million new retail vehicle registrations in the U.S. from October 2024 through September 2025, as noted in a press release.
In addition to overall loyalty, Tesla also earned the “Highest Conquest Percentage” award for the sixth consecutive year, highlighting the company’s continued ability to attract customers away from competing brands. This achievement is particularly notable given Tesla’s relatively small vehicle lineup, which is largely dominated by just two models: the Model 3 and Model Y.
Ethnic market strength and conquest
Tesla also captured top honors for “Ethnic Market Loyalty to Make,” a category that highlighted especially strong retention among Asian and Hispanic households. According to the analysis, Tesla achieved loyalty rates of 63.6% among Asian households and 61.9% among Hispanic households. These figures exceeded national averages.
S&P Global Mobility executives noted that loyalty margins across categories were exceptionally narrow in 2025, underscoring the significance of Tesla’s wins in an increasingly competitive market. Joe LaFeir, President of Mobility Business Solutions at S&P Global Mobility, shared his perspective on this year’s results.
“For 30 years, this analysis has provided a fact-based measure of brand health, and this year’s results are particularly telling. The data shows the market is not rewarding just one type of strategy. Instead, we see sustained, high-level performance from manufacturers with broad portfolios. In the current market, retaining customers remains a critical performance indicator for the industry,” LaFeir said.
Elon Musk
Elon Musk’s lawsuit against OpenAI and Microsoft is heading to jury trial
The ruling keeps alive claims that OpenAI misled the Tesla CEO about its charitable purpose while accepting billions of dollars in funding.
OpenAI Inc. and Microsoft will face a jury trial this spring after a federal judge rejected their efforts to dismiss Elon Musk’s lawsuit, which accuses the artificial intelligence startup of abandoning its original nonprofit mission. The ruling keeps alive claims that OpenAI misled the Tesla CEO about its charitable purpose while accepting billions of dollars in funding.
As noted in a report from Bloomberg News, a federal judge in Oakland, California, ruled that OpenAI Inc. and Microsoft failed to show that Musk’s claims should be dismissed. U.S. District Judge Yvonne Gonzalez Rogers stated that while the evidence remains unclear, Musk has maintained that OpenAI “had a specific charitable purpose and that he attached two fundamental terms to it: that OpenAI be open source and that it would remain a nonprofit — purposes consistent with OpenAI’s charter and mission.”
Judge Gonzalez Rogers also rejected an argument by OpenAI suggesting that Musk’s use of an intermediary to donate $38 million in seed money to the company stripped him of legal standing. “Holding otherwise would significantly reduce the enforcement of a large swath of charitable trusts, contrary to the modern trend,” Judge Gonzalez Rogers wrote.
The judge also declined to dismiss Musk’s fraud allegations, citing internal OpenAI communications from 2017 involving co-founder Greg Brockman. In an email cited by the judge, fellow OpenAI board member Shivon Zilis informed Musk that Brockman would “like to continue with the non-profit structure.”
Just two months later, however, Brockman wrote in a private note that he “cannot say that we are committed to the non-profit. don’t want to say that we’re committed. if three months later we’re doing b-corp then it was a lie.”
Marc Toberoff, a member of Musk’s legal team, said Judge Gonzalez Rogers’s ruling confirms that “there is substantial evidence that OpenAI’s leadership made knowingly false assurances to Mr. Musk about its charitable mission that they never honored in favor of their personal self-enrichment.”
OpenAI, for its part, maintained that Musk’s legal efforts are baseless. In a statement, the AI startup said it is looking forward to the upcoming trial. “Mr. Musk’s lawsuit continues to be baseless and a part of his ongoing pattern of harassment, and we look forward to demonstrating this at trial. We remain focused on empowering the OpenAI Foundation, which is already one of the best-resourced nonprofits ever,” OpenAI stated.
Elon Musk’s X goes down as users report major outage Friday morning
Tesla wins top loyalty and conquest honors in S&P Global Mobility 2025 awards
