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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.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
News
Tesla confirms Robotaxi expansion plans with new cities and aggressive timeline
Tesla plans to launch in Dallas, Houston, Phoenix, Miami, Orlando, Tampa, and Las Vegas. It lists the Bay Area as “Safety Driver,” and Austin as “Ramping Unsupervised.”
Tesla confirmed its intentions to expand the Robotaxi program in the United States with an aggressive timeline that aims to send the ride-hailing service to several large cities very soon.
The Robotaxi program is currently active in Austin, Texas, and the California Bay Area, but Tesla has received some approvals for testing in other areas of the U.S., although it has not launched in those areas quite yet.
However, the time is coming.
During Tesla’s Q4 Earnings Call last night, the company confirmed that it plans to expand the Robotaxi program aggressively, hoping to launch in seven new cities in the first half of the year.
Tesla plans to launch in Dallas, Houston, Phoenix, Miami, Orlando, Tampa, and Las Vegas. It lists the Bay Area as “Safety Driver,” and Austin as “Ramping Unsupervised.”
These details were released in the Earnings Shareholder Deck, which is published shortly before the Earnings Call:
🚨 BREAKING: Tesla plans to launch its Robotaxi service in Dallas, Houston, Phoenix, Miami, Orlando, Tampa, and Las Vegas in the first half of this year pic.twitter.com/aTnruz818v
— TESLARATI (@Teslarati) January 28, 2026
Late last year, Tesla revealed it had planned to launch Robotaxi in Las Vegas, Phoenix, Dallas, and Houston, but Tampa and Orlando were just added to the plans, signaling an even more aggressive expansion than originally planned.
Tesla feels extremely confident in its Robotaxi program, and that has been reiterated many times.
Although skeptics still remain hesitant to believe the prowess Tesla has seemingly proven in its development of an autonomous driving suite, the company has been operating a successful program in Austin and the Bay Area for months.
In fact, it announced it achieved nearly 700,000 paid Robotaxi miles since launching Robotaxi last June.
🚨 Tesla has achieved nearly 700,000 paid Robotaxi miles since launching in June of last year pic.twitter.com/E8ldSW36La
— TESLARATI (@Teslarati) January 28, 2026
With the expansion, Tesla will be able to penetrate more of the ride-sharing market, disrupting the human-operated platforms like Uber and Lyft, which are usually more expensive and are dependent on availability.
Tesla launched driverless rides in Austin last week, but they’ve been few and far between, as the company is certainly easing into the program with a very cautiously optimistic attitude, aiming to prioritize safety.
Investor's Corner
Tesla (TSLA) Q4 and FY 2025 earnings call: The most important points
Executives, including CEO Elon Musk, discussed how the company is positioning itself for growth across vehicles, energy, AI, and robotics despite near-term pressures from tariffs, pricing, and macro conditions.
Tesla’s (NASDAQ:TSLA) Q4 and FY 2025 earnings call highlighted improving margins, record energy performance, expanding autonomy efforts, and a sharp acceleration in AI and robotics investments.
Executives, including CEO Elon Musk, discussed how the company is positioning itself for growth across vehicles, energy, AI, and robotics despite near-term pressures from tariffs, pricing, and macro conditions.
Key takeaways
Tesla reported sequential improvement in automotive gross margins excluding regulatory credits, rising from 15.4% to 17.9%, supported by favorable regional mix effects despite a 16% decline in deliveries. Total gross margin exceeded 20.1%, the highest level in more than two years, even with lower fixed-cost absorption and tariff impacts.
The energy business delivered standout results, with revenue reaching nearly $12.8 billion, up 26.6% year over year. Energy gross profit hit a new quarterly record, driven by strong global demand and high deployments of MegaPack and Powerwall across all regions, as noted in a report from The Motley Fool.
Tesla also stated that paid Full Self-Driving customers have climbed to nearly 1.1 million worldwide, with about 70% having purchased FSD outright. The company has now fully transitioned FSD to a subscription-based sales model, which should create a short-term margin headwind for automotive results.
Free cash flow totaled $1.4 billion for the quarter. Operating expenses rose by $500 million sequentially as well.
Production shifts, robotics, and AI investment
Musk further confirmed that Model S and Model X production is expected to wind down next quarter, and plans are underway to convert Fremont’s S/X line into an Optimus robot factory with a capacity of one million units.
Tesla’s Robotaxi fleet has surpassed 500 vehicles, operating across the Bay Area and Austin, with Musk noting a rapid monthly expansion pace. He also reiterated that CyberCab production is expected to begin in April, following a slow initial S-curve ramp before scaling beyond other vehicle programs.
Looking ahead, Tesla expects its capital expenditures to exceed $20 billion next year, thanks to the company’s operations across its six factories, the expansion of its fleet expansion, and the ramp of its AI compute. Additional investments in AI chips, compute infrastructure, and future in-house semiconductor manufacturing were discussed but are not included in the company’s current CapEx guidance.
More importantly, Tesla ended the year with a larger backlog than in recent years. This is supported by record deliveries in smaller international markets and stronger demand across APAC and EMEA. Energy backlog remains strong globally as well, though Tesla cautioned that margin pressure could emerge from competition, policy uncertainty, and tariffs.
Tesla is bringing closure to its flagship Model S and Model X vehicles, which CEO Elon Musk said several years ago were only produced for “sentimental reasons.”
The Model S and Model X have been light contributors to Tesla’s delivery growth over the past few years, commonly contributing only a few percentage points toward the over 1.7 million cars the company has handed over to customers annually since 2022.
However, the Model S and Model X have remained in production because of their high-end performance and flagship status; they are truly two vehicles that are premium offerings and do not hold major weight toward Tesla’s future goals.
On Wednesday, during the Q4 2025 Earnings Call, Musk confirmed that Tesla would bring closure to the two models, ending their production and making way for the manufacturing efforts of the Optimus robot:
“It is time to bring the Model S and Model X programs to an end with an honorable discharge. It is time to bring the S/X programs to an end. It’s part of our overall shift to an autonomous future.”
Musk said the production lines that Tesla has for the Model S and Model X at the Fremont Factory in Northern California will be transitioned to Optimus production lines that will produce one million units per year.
Tesla Fremont Factory celebrates 15 years of electric vehicle production
Tesla will continue to service Model S and Model X vehicles, but it will officially stop deliveries of the cars in Q2, as inventory will be liquidated. When they’re gone, they’re gone.
BREAKING: Tesla will wind down Model S and Model X production next quarter, Elon Musk confirms.
“It is time to bring the Model S and Model X programs to an end with an honorable discharge.” pic.twitter.com/Czn7aQjJE1
— TESLARATI (@Teslarati) January 28, 2026
Tesla has been making moves to sunset the two vehicles for the better part of one year. Last July, it stopped taking any custom orders for vehicles in Europe, essentially pushing the idea that the program was coming to a close soon.
Musk said back in 2019:
“I mean, they’re very expensive, made in low volume. To be totally frank, we’re continuing to make them more for sentimental reasons than anything else. They’re really of minor importance to the future.”
That point is more relevant than ever as Tesla is ending the production of the cars to make way for Optimus, which will likely be Tesla’s biggest product in the coming years.
Musk added during the Earnings Call on Wednesday that he believes Optimus will be a major needle-mover of the United States’ GDP, as it will increase productivity and enable universal high income for humans.
Tesla confirms Robotaxi expansion plans with new cities and aggressive timeline
Tesla (TSLA) Q4 and FY 2025 earnings call: The most important points
