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.
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Tesla Robotaxi Safety Monitor seems to doze off during Bay Area ride
We won’t try to blame the camera person for the incident, because it clearly is not their fault. But it seems somewhat interesting that they did not try to wake the driver up and potentially contact Tesla immediately to alert them of the situation.
A Tesla Robotaxi Safety Monitor appeared to doze off during a ride in the California Bay Area, almost ironically proving the need for autonomous vehicles.
The instance was captured on camera and posted to Reddit in the r/sanfrancisco subreddit by u/ohmichael. They wrote that they have used Tesla’s ride-hailing service in the Bay Area in the past and had pleasant experiences.
However, this one was slightly different. They wrote:
“I took a Tesla Robotaxi in SF just over a week ago. I have used the service a few times before and it has always been great. I actually felt safer than in a regular rideshare.
This time was different. The safety driver literally fell asleep at least three times during the ride. Each time the car’s pay attention safety alert went off and the beeping is what woke him back up.
I reported it through the app to the Robotaxi support team and told them I had videos, but I never got a response.
I held off on posting anything because I wanted to give Tesla a chance to respond privately. It has been more than a week now and this feels like a serious issue for other riders too.
Has anyone else seen this happen?”
My Tesla Robotaxi “safety” driver fell asleep
byu/ohmichael insanfrancisco
The driver eventually woke up after prompts from the vehicle, but it is pretty alarming to see someone like this while they’re ultimately responsible for what happens with the ride.
We won’t try to blame the camera person for the incident, because it clearly is not their fault. But it seems somewhat interesting that they did not try to wake the driver up and potentially contact Tesla immediately to alert them of the situation.
They should have probably left the vehicle immediately.
Tesla’s ride-hailing service in the Bay Area differs from the one that is currently active in Austin, Texas, due to local regulations. In Austin, there is no Safety Monitor in the driver’s seat unless the route requires the highway.
Tesla plans to remove the Safety Monitors in Austin by the end of the year.
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Tesla opens Robotaxi access to everyone — but there’s one catch
Tesla has officially opened Robotaxi access to everyone and everyone, but there is one catch: you have to have an iPhone.
Tesla’s Robotaxi service in Austin and its ride-hailing service in the Bay Area were both officially launched to the public today, giving anyone using the iOS platform the ability to simply download the app and utilize it for a ride in either of those locations.
It has been in operation for several months: it launched in Austin in late June and in the Bay Area about a month later. In Austin, there is nobody in the driver’s seat unless the route takes you on the freeway.
In the Bay Area, there is someone in the driver’s seat at all times.
The platform was initially launched to those who were specifically invited to Austin to try it out.
Tesla confirms Robotaxi is heading to five new cities in the U.S.
Slowly, Tesla launched the platform to more people, hoping to expand the number of rides and get more valuable data on its performance in both regions to help local regulatory agencies relax some of the constraints that were placed on it.
Additionally, Tesla had its own in-house restrictions, like the presence of Safety Monitors in the vehicles. However, CEO Elon Musk has maintained that these monitors were present for safety reasons specifically, but revealed the plan was to remove them by the end of the year.
Now, Tesla is opening up Robotaxi to anyone who wants to try it, as many people reported today that they were able to access the app and immediately fetch a ride if they were in the area.
We also confirmed it ourselves, as it was shown that we could grab a ride in the Bay Area if we wanted to:
🚨 Tesla Robotaxi ride-hailing Service in Austin and the Bay Area has opened up for anyone on iOS
Go download the app and, if you’re in the area, hail a ride from Robotaxi pic.twitter.com/1CgzG0xk1J
— TESLARATI (@Teslarati) November 18, 2025
The launch of a more public Robotaxi network that allows anyone to access it seems to be a serious move of confidence by Tesla, as it is no longer confining the service to influencers who are handpicked by the company.
In the coming weeks, we expect Tesla to then rid these vehicles of the Safety Monitors as Musk predicted. If it can come through on that by the end of the year, the six-month period where Tesla went from launching Robotaxi to enabling driverless rides is incredibly impressive.
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Tesla analyst sees Full Self-Driving adoption rates skyrocketing: here’s why
“You’ll see increased adoption as people are exposed to it. I’ve been behind the wheel of several of these and the different iterations of FSD, and it is getting better and better. It’s something when people experience it, they will be much more comfortable utilizing FSD and paying for it.”
Tesla analyst Stephen Gengaro of Stifel sees Full Self-Driving adoption rates skyrocketing, and he believes more and more people will commit to paying for the full suite or the subscription service after they try it.
Full Self-Driving is Tesla’s Level 2 advanced driver assistance suite (ADAS), and is one of the most robust on the market. Over time, the suite gets better as the company accumulates data from every mile driven by its fleet of vehicles, which has swelled to over five million cars sold.
The suite features a variety of advanced driving techniques that many others cannot do. It is not your typical Traffic-Aware Cruise Control (TACC) and Lane Keeping ADAS system. Instead, it can handle nearly every possible driving scenario out there.
It still requires the driver to pay attention and ultimately assume responsibility for the vehicle, but their hands are not required to be on the steering wheel.
It is overwhelmingly impressive, and as a personal user of the FSD suite on a daily basis, I have my complaints, but overall, there are very few things it does incorrectly.
Tesla Full Self-Driving (Supervised) v14.1.7 real-world drive and review
Gengaro, who increased his Tesla price target to $508 yesterday, said in an interview with CNBC that adoption rates of FSD will increase over the coming years as more people try it for themselves.
At first, it is tough to feel comfortable with your car literally driving you around. Then, it becomes second nature.
Gengaro said:
“You’ll see increased adoption as people are exposed to it. I’ve been behind the wheel of several of these and the different iterations of FSD, and it is getting better and better. It’s something when people experience it, they will be much more comfortable utilizing FSD and paying for it.”
Tesla Full Self-Driving take rates also have to increase as part of CEO Elon Musk’s recently approved compensation package, as one tranche requires ten million active subscriptions in order to win that portion of the package.
The company also said in the Q3 2025 Earnings Call in October that only 12 percent of the current ownership fleet are paid customers of Full Self-Driving, something the company wants to increase considerably moving forward.