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.
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
