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Tesla FSD Beta 10.69.2 “looking good” for weekend release + 10.69.1.1 Reviews
Elon Musk shared that Tesla FSD Beta 10.69.2’s release is still set for this weekend.
Tesla initially planned to release v10.69.2 last week but delayed the update to polish it up more. The company rolled out v.10.69.1.1 to more Beta testers instead.
Tesla FSD Beta 10.69.1.1 Reviews
A few Tesla Beta testers who received v10.69.1.1 shared their observations and thoughts about the update with Teslarati. One of the common issues Beta Testers mentioned was phantom braking.
One 2021 Model S owner, Howard, noted that his Tesla vehicle still experienced phantom braking too much. He shared that his Model S drove like a 16-year-old. “Not smooth with the wheel, throttle, or brakes,” he said.
Howard also observed that his Tesla ignored some speed signs, even if they popped up on the display. The Tesla Model S owner added that his car “still fades right into turn lanes when there is not [a] turn to be done. It then swerves to go to the last [turn] it just left.”
Fellow FSD Beta tester, Michael, was “a bit disappointed” with the latest update. He noted experiencing some phantom braking along the Long Island Expressway.
“Can’t seem to figure out the somewhat irregular lines in the HOV lane, which is surprising to me. Oh well….hope for better next time. Still not there, but much better than first experiences,” Michael added.
Impressions from a longtime FSD Beta Tester
FSD Beta tester Les also shared his thoughts about v.10.69.1.1 with Teslarati. Les has been an Early Access software tester since 2018. He was kind enough to break down all his observations from testing FSD Beta 10.69.1.1.
Les mentioned seeing a few issues with FSD Beta that have been around since Fall 2021. Some of the issues are listed below.
- [The] car doesn’t always stay in [the] proper turn lane when using the outer lane of a left dual turn lane scenario; 8/10 times, mid-turn, it will cross over into the inner turn lane. It has done this for me with every FSD Beta build back to October 2021.
- Inconsistent lane selection: my car will still sometimes move[s] into lanes opposite to the next upcoming turn, sometimes when close to that upcoming turn, sometimes missing the turn itself.
- Late turn signals: this is a long-standing issue many testers have reported. The turn signals [usually] activate too late when they need to activate ahead of a turn lane to alert drivers behind us.
Despite the continuing issues he observed, Les seemed to have an overall good experience with the latest update. He specifically highlighted Tesla’s work with Chuck Cook Style’s unprotected left terms which were specifically mentioned in v10.69’s release notes. Listed below are all his good observations about FSD Beta v. 10.69.1.1.
- The improvement to “Chuck Cook style” unprotected left turns with multiple lanes and medians is incredible. The car utilizes the median space very well. [It] feels like more than an improvement. It really almost feels like a feature upgrade. It’s that significant and amazing to experience.
- The car has almost no more phantom braking events for me. I never had many to begin with, certainly not as many severe events as other friends report, but I did notice the ones I had and the places they occurred no longer occurred.
- Traffic turning across my car’s path no longer triggers a cautious braking event when there’s enough room ahead. The car better recognizes the crossing vehicle’s direction and speed, and my car maintains its speed. Very human-like behavior.
- More assertive and smooth acceleration out of turns, especially when entering a higher speed road. Related: improved acceleration from stops. I like this very much, as prior builds often took too long (for my taste anyway) to get up to speed. It still could get up to speed more quickly, but there is [a] notable improvement.
- The dashcam bug has been eliminated!! The prior build would routinely crash the dashcam after I parked and/or charged, requiring either a computer reboot or removal/reinsertion of [the] dashcam thumb drive to fix. No more problems!
In general, Tesla is steadily improving FSD Beta with each update. And Testers are actively experiencing those improvements. However, Tesla’s Full Self-Driving suite still needs more work before it rolls out to the public.
Are you an FSD Beta tester? I’d like to hear your thoughts on v10.69.2! 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
