Tesla FSD version 10.69.2.3 rolled out shortly after AI Day. The latest update of Tesla’s Full Self Driving software delivers minor bug fixes. Some testers have received v10.69.2.3 and shared their observations with Teslarati.
As previously noted, 10.69.2.3 is a relatively small update that addresses some minor bugs in FSD Beta. As it sometimes goes with software bug fixes, some Beta testers mentioned a new issue in the latest version that appeared to be a step or two backward.
Road Obstacle Detection Issues
A few testers in Tesla’s FSD Beta Program reported experiencing road obstacle detection issues when their vehicles would not register particular objects in their path or directly ahead.
For instance, beta tester Jonathan shared that his vehicle did not recognize or avoid dead animals on the road. Another beta tester experienced similar issues with gates in his community.
“One day coming back from work I decided to see if it can get me close to the proximity of my house. I live in a gated community. The vehicle made the turn into the drive entry of the community which has two swing gates. Vehicle was almost going to go through the closed gates,” FSD Beta user Sean shared with Teslarati. “I had to tap the breaks and override the system to make it stop. It didn’t see the gates as obstacles or road blocks. I have tried this a couple of times during daylight and night time and result is the same.”
After Tesla released v10.69.2.2, a few beta testers observed that their vehicles recognized and avoided construction work sites and similar obstacles on the road.
Left and Right Turns
A couple of beta testers mentioned issues with left and right turns, specifically during intersections. The most prominent issue FSD Tesla drivers raised about turns was their cars’ hesitation during intersections. Testers highlighted that their cars’ hesitation during intersections isn’t really a big issue until they consider the other drivers on the road.
“Hesitates too long at intersections presumably trying to determine if/when it’s safe to proceed. This only matters to me when there are cars behind me. I feel intense pressure to push the car through (and I do). Humans do not have patience to wait on its time-table,” noted Terry, another FSD Beta tester.
FSD Beta user Dr. Rahaman made similar observations. He noted that his Tesla would creep forward after stopping at an intersection on a red light and would take a left or right turn too slowly, sometimes irritating the drivers behind him. Dr. Rahaman specifically observed that his car entered left turn lanes late without a signal. In the past, the Tesla owner has noted that the car’s turn signals sporadically turn off and on at some intersections or turns.
Lane Selection Issues
Tesla FSD v.10.69.2.3 doesn’t appear to address the largest issue multiple testers have pointed out over the past few weeks: lane selection. One beta tester seemed to sum up the sentiments most drivers in the Tesla FSD program have regarding lane selection.
“Lane selection sometimes just plain wrong and dumb. Causes driving task to be harder for itself than it needs to be because it realizes (eventually, usually) it’s in the wrong lane too late and then has to get over which is harder with traffic and unlike a human who can gesture, the car can give no such signals as to its self-made predicament,” the tester commented.
“Also, it sometimes gets into turn lane just late enough that cars behind me assume I’m continuing straight and swoop in behind me and get over immediately causing it to be even harder for my car to get over into that lane now because all slots are occupied and the road is about to end at a light,” he added.
Other Issues
Some other less prominent issues that a few FSD Beta testers have noted are listed below.
1. Lane Positioning – The car hugs the double yellow lines too closely on narrow roads or sticks to the middle of the road when no lines are present.
2. Wide turns – The Tesla car takes wide turns, far from the curb. One tester observed that his car risked hitting the guard rails and other obstacles with its wide turn.
3. Turn Lane Issues – The car still mistakes turn lanes for driving lanes
Some testers still report experiencing phantom braking and jerkiness while taking turns. However, the one observation that seems to stick out among others came from beta tester Neeraj.
“Drives as if everyone is going to follow the rules 100% and is not accommodating or accounting for those who may not be going 100% as they should,” he said about FSD Beta.
FSD Beta still has a ways to go before 100% autonomous version rolls out to the general public. Observations and tests from beta testers help Tesla improve FSD. Elon Musk teased more significant improvements in the next update, 10.69.3. Tesla hopes to release a ‘supervised’ FSD version by the end of the year.
Have you tried out FSD Beta 10.69.2.3 yet? I’d like to hear from you! Contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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 launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Featured
Tesla Cybercab is coming to Asia this month as US service officially begins
Tesla Asia says Cybercab will be on display in Hong Kong, Tokyo, Beijing and Shanghai this month.
Tesla’s Cybercab is heading to Asia. The official Tesla Asia account posted on X Thursday, inviting Cybercab fans to “Come experience the future of autonomy in Hong Kong, Tokyo, Beijing & Shanghai.” The post went up within hours of Tesla’s own Cybercab milestone in Texas, where the company said Thursday it had begun offering rides in across Austin.
Exact dates and venues for the Asia tour haven’t been released yet, though Tesla Hong Kong replied to the announcement with “Cybercab will be on display in Hong Kong soon,” while Tesla Japan’s response pointed fans to a sign up page for updates. Neither post mentions test rides or a service area, and nothing so far suggests Tesla is launching Robotaxi operations in any of the four cities. Based on how Tesla has run past Cybercab tours, in Europe in late 2024 and at US shopping centers that same December, the Asia stops are almost certainly static displays at Tesla stores or public venues as a means to stimulate buzz for its future driverless ride-hailing service in the big cities.
Cybercab will be on display in Asia this month!
Come experience the future of autonomy in Hong Kong, Tokyo, Beijing & Shanghai. pic.twitter.com/wGmmEastfX— Tesla Asia (@Tesla_Asia) September 4, 2026
The timing lines up with Tesla’s only prior Cybercab appearance in the region, a booth at the China International Import Expo in Shanghai last November, which Teslarati covered at the time. At that event, Tesla’s regional general manager for Shanghai framed the car as evidence of the company’s broader mission, a message Tesla has since formalized in its Master Plan Part IV, which states that “autonomous vehicles have the capacity to dramatically improve the affordability, availability and safety of transportation while reducing pollution, particularly in our increasingly dense global cities.” The same document is where Tesla lays out its “sustainable abundance” framing for Cybercab and Optimus alike, describing the two as the hardware behind an AI driven push to cut the cost of transportation and labor at scale.
Whether Cybercab actually operates as a robotaxi anywhere in Asia remains an open question, considering China has already pushed an autonomous ride-hailing market that’s run on homegrown players like Baidu’s Apollo Go and Pony AI. For now, the four city tour reads as a marketing push timed to Austin’s momentum.
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
Tesla Cybercab launch catches NHTSA’s attention who wants to know more
