Tesla Full Self-Driving (FSD) Beta 10.69.3.1 has been out for some time now, and Teslarati talked to a few beta testers about the update.
Below are some notes and observations about v.10.69.3.1 from Tesla FSD Beta Testers.
FSD Beta 10.69.3.1 and Lanes
Lane selection has been one of the issues that most FSD Beta testers bring up when they talk to Teslarati. Before 10.69.3.1, FSD Beta reportedly had trouble understanding when to switch lanes, which one to switch to, or when to remain in a lane. FSD Beta testers are still experiencing lane selection issues.
“Not only has lane selection in anticipating a turn been a step back for me, lane selection whilst performing dual lane left-hand turns still suffer. The car doesn’t stay in its assigned lane but drifts. This does not happen on right turns,” said Les, a long-time FSD Beta tester.
“Lane selection still has issues. Most of the time it’s ok, but occasionally, it does strange things like changing into the right lane momentarily, then back to the left when there is an upcoming left-hand turn,” noted FSD Beta tester Sandy.
Turn Issues in FSD Beta 10.69.3.1
Les and fellow FSD Beta tester Sandy mentioned other lane issues related to turns. Les noted that one of the biggest step back with FSD Beta 10.69.3.1 occurs when the car faces an upcoming turn.
“On previous builds, the car would only occasionally move in the opposite lane direction of an upcoming turn. On this build, virtually every turn I had upcoming, when the car got within half a mile of said turn, it would signal and move into the lane of the opposite direction,” Les said.
“Virtually every right turn I’ve had upcoming, the car, inexplicably, signals and changes into the left-hand lane. Same for left-hand turns, within half a mile out the car signaled and changed into the right-hand lane. Confounding to say the least, to the point of comedy,” he added.
Sandy noticed that his car requires interventions or disconnects at stop signs sometimes. In the past, other FSD Beta testers have mentioned that their vehicle experiences jerky movements or their signal lights turn off and on during intersections, traffic lights, and stop signs. It’s as if the car is deciding whether the driver wants to turn or not.
“Following and lane changes seem smoother and more natural,” said Sandy. “However, it still has issues that require intervention/disconnects. When it creeps at stop signs, it can make jerky movements with steering wheel and, imo, it creeps to slowly and takes too long before proceeding.”
Mixed Reviews for 10.69.3.1
As with all of Tesla’s FSD Beta updates, there have been a few good reviews and bad ones. Beta testers tend to focus on the issues, as it is their responsibility to report them so Tesla can improve FSD. However, testers also report significant improvements they see during their drives.
In the case of 10.69.3.1, it seems like FSD Beta received mixed reviews. Some testers believed that the update significantly improved the advanced driver assist software while others thought it was a step back.
“I have tested the 10.69.3.1 build on my Model Y, and it’s a giant leap forward from builds prior to 10.69,” observed Tony, a Model Y owner and a member of the FSD Beta program.
Tony noted that the biggest changes were improvements to acceleration, smoother turns, and less necessary steering wheel input. Sandy also observed more improvements with Tesla FSD Beta 10.69.3.1 rather than issues.
On the other hand, Les believed that v.10.69.3.1 was a step back for FSD Beta.
“These 10.69.3.1 step backs are the biggest in my FSD Beta testing experience to date. Previous builds have been much better for me. But again, I understand the process; updates are sometimes “2 steps forward and 1 step back.” I still enjoy testing. The product isn’t finished yet,” he said.
Tesla FSD Beta Wide Release
Tesla started the wide release of FSD Beta v.10.69.3.1 in late November. A day after its release, Tesla rolled out FSD Beta to cars with less than 100 Autopilot miles and Safety Scores lower than 80.
The EV maker rolled out FSD Beta V11 to a few testers already. FSD Beta V11 is Tesla’s single-stack update. However, update 10.69.3.1 seems to be rolling out to more testers.
Tesla also made Full Self-Driving Beta available to anyone in North America who purchases it from their car screen. Now that Tesla has released FSD Beta to anyone in North America interested in trying it out, the company might want to streamline its performance. Based on Teslarati‘s interviews with FSD Beta Testers, the software performs differently based on location, driver, terrain, and other factors.
“Phantom braking on city streets (not highways) returned for me in one bizarre instance; it wasn’t the sudden hard kind of braking, rather this was a new braking behavior that was slow and gradual almost to a stop while I was going straight in the middle lane of a three-lane road. Not at a turn, wasn’t going through an intersection, and the road was clear,” described Les in one instance.
“There were no cars around me so I let the car do its thing to see what it was doing; it literally started slowing from 40mph to 5mph before I disengaged and accelerated back up to speed. Very weird. I went back to that spot a couple days later and the car didn’t do it. It acted normal,” he explained.
Tesla Full Self-Driving has not received regulatory approval yet. It still faces a lot of skepticism, especially in terms of safety. Delivering consistent, reliable performances in various driving situations might help it get regulatory approval.
Are you an FSD Beta tester? Have you tried out V11? If you have, I’d like to hear from you! Contact me at maria@teslarati.com or via Twitter @Writer_01001101.
Tesla has taken home the “Overall Loyalty to Make” award from S&P Global Mobility for the fourth consecutive year, reinforcing Tesla owners’ willingness to come back. The 2025 awards are based on S&P Global Mobility’s analysis of 13.6 million new retail vehicle registrations in the U.S. from October 2024 through September 2025. The complete list of 2025 winners includes General Motors for Overall Loyalty to Manufacturer, Tesla for Overall Loyalty to Make, Chevrolet Equinox for Overall Loyalty to Model, Mini for Most Improved Make Loyalty, Subaru for Overall Loyalty to Dealer, and Tesla again for both Ethnic Market Loyalty to Make and Highest Conquest Percentage.
Tesla’s streak in this category started in 2022, and the brand has now won the Highest Conquest Percentage award for six straight years, meaning it keeps pulling buyers away from other brands at a rate no competitor has matched. Tesla’s retention among Asian households reached 63.6% and among Hispanic households 61.9%, rates that significantly outpace national averages for those groups. That breadth of appeal across demographics adds a layer of significance to a win that some might dismiss as routine.
The timing matters too. After several consecutive quarters of decline, Tesla’s share of U.S. EV sales jumped to 59% in Q4 2025. That rebound, arriving just as competitors were flooding the market with new models and incentives, suggests Tesla’s loyalty numbers are not simply the result of limited alternatives. Buyers are still choosing it when they have plenty of other options.
What keeps Tesla owners coming back has a lot to do with the and convenience of charging. The Supercharger network is the most straightforward example. With over 65,000 Superchargers globally, it remains the largest and most reliable fast-charging network in the world, and owners who have built their routines around it face a real practical cost when considering a switch. Competitors have made progress, but the consistency, speed, and availability of Tesla’s network is still the benchmark the rest of the industry is chasing. Then there is the software side. Tesla has built a model where the car you own today is functionally different from the car you bought two years ago, through over-the-air updates that add continuous game-changing improvements such as Full Self-Driving that has moved from a driver-assist feature to an increasingly capable autonomous system. For many Tesla owners, leaving the brand means starting over with a car that will not get meaningfully better over time, and that is a trade-off fewer and fewer are willing to make.
Tesla Robotaxi services in Austin have been operating since last Summer, but Tesla has admittedly been delayed in its expansion of the geofence, fleet size, and other details in a bid to prioritize safety as new technology rolls out.
But those barriers are being broken with new guardrails being removed from the program.
Tesla has achieved a significant advancement in its autonomous ride-hailing program. As of May 4, the Robotaxi fleet in Austin, Texas, has begun operating unsupervised during evening hours for the first time. This expansion moves beyond previous limitations that restricted unsupervised service to daylight hours, typically ending in mid-afternoon.
Tesla Robotaxi in Austin is operating unsupervised in the evenings for the first time today.
Previously in Austin, unsupervised operation ended mid-afternoon
— Robotaxi Tracker (@RtaxiTracker) May 4, 2026
The change brings Austin in line with operations in Dallas and Houston. Those cities have supported evening unsupervised runs since their initial launches in April, and both recently received additions of new unsupervised vehicles to their fleets. This coordinated progress across Texas strengthens Tesla’s regional presence and provides a broader testing ground for the technology.
This milestone carries substantial weight in the development of autonomous vehicles. Extending operations into low-light conditions meaningfully expands the Robotaxi’s operational design domain (ODD)—the specific environments and scenarios in which the system is approved to operate safely without human intervention.
Nighttime driving presents unique technical demands: diminished visibility, headlight glare from oncoming traffic, reduced contrast for identifying pedestrians and lane markings, and greater variability in camera sensor exposure.
Tesla’s pure vision approach, powered by neural networks trained on vast real-world datasets rather than lidar or pre-mapped routes, must handle these variables reliably. Demonstrating consistent unsupervised performance after sunset validates the robustness of the end-to-end AI stack and its ability to generalize across diverse lighting conditions.
Beyond technical validation, the expansion holds important operational and economic implications. Evening hours often coincide with peak urban demand for rides, including commutes, dining, and entertainment outings.
Enabling service during these periods increases daily vehicle utilization, allowing each Robotaxi to generate more revenue while gathering additional high-value training data. Higher utilization accelerates the virtuous cycle of data collection, model improvement, and further ODD growth.
Looking ahead, this step paves the way for more ambitious rollouts. Success in low-light environments positions Tesla to pursue near-24-hour operations, potentially integrating highways and expanding into varied weather patterns. Regulators worldwide frequently demand evidence of safe performance across day-night cycles before granting wider approvals.
Proven capability in Texas could expedite deployments in planned cities such as Phoenix, Miami, Orlando, Tampa, and Las Vegas during the first half of 2026.
Tesla confirms Robotaxi expansion plans with new cities and aggressive timeline
Moreover, scaling evening service supports Tesla’s long-term vision of a high-efficiency robotaxi network. Greater fleet productivity lowers the cost per mile, making autonomous mobility more accessible and competitive against traditional ride-hailing.
As the company iterates on software updates informed by nighttime data, reliability is expected to compound rapidly, unlocking denser urban coverage and longer-distance trips.
In summary, the introduction of an unsupervised evening Robotaxi service in Austin represents more than an incremental schedule adjustment. It signals a critical maturation of the underlying technology and sets the foundation for broader geographic and temporal expansion.
With Texas operations gaining momentum, Tesla is steadily advancing toward transforming urban transportation at scale.
Cybertruck
Tesla Cybercab just rolled through Miami inside a glass box
Tesla paraded a Cybercab in a glass display at Miami’s F1 Grand Prix event this week.
Tesla set up an “Autonomy Pop-Up” at Lummus Park in Miami Beach from April 29 through May 3, 2026, embedded within the official F1 Miami Grand Prix Fan Fest. The centerpiece was a Cybertruck towing the Cybercab inside a glass display case marked “Future is Autonomous,” rolling through the beachfront crowd.
Miami is on Tesla’s confirmed list of cities for robotaxi expansion in the first half of 2026, making the promotion a strategic promotion that lays groundwork in a target market.
This was not Tesla’s first time using Miami as a showcase city. In December 2025, Tesla hosted “The Future of Autonomy Visualized” at its Miami Design District showroom, coinciding with Art Basel Miami Beach. That event featured the Cybercab prototype and Optimus robots interacting with attendees. The F1 pop-up this week marks Tesla’s return to Miami and follows a pattern Tesla has been running since early 2026. Just two weeks before Miami, Tesla stationed Optimus at the Tesla Boston Boylston Street showroom on April 19 and 20, directly on the final stretch of the Boston Marathon, letting tens of thousands of runners and spectators meet the robot for free, generating massive earned media at zero advertising cost.
Tesla is sending its humanoid Optimus robot to the Boston Marathon
Tesla has confirmed plans to expand its robotaxi service to seven cities in the first half of 2026, including Dallas, Houston, Phoenix, Miami, Orlando, Tampa, and Las Vegas, building on the unsupervised service already running in Austin. Musk has said he expects robotaxis to cover between a quarter and half of the United States by end of year. On the production side, Musk told shareholders that the Cybercab manufacturing process could eventually produce up to 5 million vehicles per year, targeting a cycle time of one unit every ten seconds. Scaling robotaxis to 10 million operational units over the next ten years is a key condition of his compensation package, alongside selling 20 million passenger vehicles.
As for the Cybercab’s price, Musk has said buyers will be able to purchase one for under $30,000, with an average operating cost around $0.20 per mile. Whether those numbers hold through full production remains to be seen.
Cybercab at F1 Fan Fest in Miami
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Tesla owners keep coming back for more
Tesla Robotaxi service in Austin achieves monumental new accomplishment
