It has been several weeks since Tesla kicked off the roll-out of its latest FSD Beta update, and a few Beta testers shared their thoughts on v10.69.2. FSD Beta testers told Teslarati that v10.69.2 made noticeable improvements to FSD, but a few issues have lingered from 10.69.1.
Tesla FSD Beta 10.69.2 Reviews
After talking to quite a few FSD Beta testers about 10.69.1, a pattern started to emerge. Testers mentioned similar issues repeatedly. The top three mentioned by testers were phantom braking, issues with turns, and speed limit recognition.
Lane selection issues seemed to be a prevalent one in FSD Beta 10.69.2. Multiple FSD Beta testers mentioned that their Tesla would take the turn lane on the road even if they intended to go straight.
“A major issue that I’ve had with this release has to do with lane selection. I find that sometimes, it’s going into an inappropriate lane. And sometimes it’s confused which lane to choose and bunks between a couple of lanes,” noted Dr. Sultan Rahaman, M.D.
“On one occasion, it was moving from the right lane into a right-turn-only lane. A lane that was going into a plaza that was just a right only. But it was driving down that lane at normal speed as if it believed that this lane was going straight through, and it was not, it was just a right turn lane. So I had to disengage because it seemed like it was identifying that right turn lane as just a regular lane going straight,” said Dr. Rahaman.
Long-time Tesla FSD Beta tester Les also experienced issues with lane selection and turns with v10.69.2.
“After multiple test loops and drives, there’s really just one main problem remaining for me at this point on 10.69.2, it’s significant, and that is lane selection,” noted Les.
Les also pointed out two other issues with FSD Beta 10.69.2: multilane turns and opposing turns in close succession. He noted that midterm, his car crosses lanes on 50% of attempts.
Les also stated that his car was successful 50% of the time when taking succeeding turns in opposite directions. “If I have a right turn followed by a left (or vice versa), within a space of a half a block or less, the car at this point fails to get over in time or oddly moves in the opposite direction,” he noted.
Dr. Rahaman also mentioned some issues with turns. He noted seeing improvements with left turns, but he also highlighted that his vehicle would perform left turns a bit aggressively.
“There’s another left turn, however, that’s a simple left turn from just crossing two lanes of traffic into my community—which is an unprotected left turn. I don’t like how it does that. I find that it gets very close to the incoming traffic, and at one point, it seems like it was just hesitating. I think I had to disengage because it seemed like it was moving forward, and traffic was coming,” Dr. Rahaman noted.
Tesla FSD Beta 10.69.2.2 Reviews
Tesla FSD Beta 10.69.2.2 is currently rolling out to more drivers. Plans are underway to roll out FSD Beta 10.69.2.3 shortly after AI Day 2 next week.
Les told Teslarati that there wasn’t any notable changes between 10.69.2, though there were still issues with lane selection. “If this lane selection problem can be solved, it will feel like a good step improvement for me,” he said.
Beta tester Neeraj noted that FSD maintains the posted speed limit even during inclement weather, like while it’s raining, and at night or on curvy roads. He noted that it gets a little unnerving when FSD does not slow down during those appropriate times. Neeraj also noted that his vehicle took long to turn in areas with no traffic lights.
Beta tester Howard also mentioned having trouble with turns since 10.69.2. “Turns at lights and stop signs way, way worse than 69.0!!!! Unusable in my area. Two times it almost caused an accident, once by stuttering and once by entering the opposing lane! Both times there was light traffic, 90-degree turn, good center, and fog lines, two lane road intersection another two lane road,” Howard told Teslarati.
FSD Beta 10.69.2 and 10.69.2.2 Verdict
Overall, testers seem impressed with v10.69 updates thus far. Most of the testers who spoke with Teslarati highlighted that v10.69 significantly improved FSD Beta. A lot of the beta testers stated that they drive more confidently through residential streets after FSD Beta 10.69.
However, a few did note that FSD might not be ready for a wider release by the end of the year. The main reason they believe FSD Beta isn’t ready for more drivers is because it still needs to be well-monitored.
“I still have to be cautious though. I would not want it in the hands of individuals who will not be alert and ready to take control at a moment’s notice,” one beta tester noted.
Have you tried out FSD Beta 10.69.2.2? I’d like to hear from you! Contact me at maria@teslarati.com or via Twitter @Writer_01001101.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
