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Tesla FSD Beta 10.69.2.2 reviews from testers 

(Credit: Tesla)

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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.

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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.

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“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.

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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

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla opens Robotaxi access to everyone — but there’s one catch

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Credit: Tesla

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:

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.”

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tesla interior operating on full self driving
Credit: TESLARATI

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.

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Tesla scores major court win as judge rejects race bias class action

The ruling means the 2017 lawsuit cannot proceed as a class action because plaintiff attorneys were unable to secure testimony commitments from at least 200 workers.

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Credit: Tesla

Tesla scored a significant legal victory in California after a state judge reversed a class certification in a high-profile race harassment case involving 6,000 Black workers at its Fremont plant. The ruling means the 2017 lawsuit cannot proceed as a class action because plaintiff attorneys were unable to secure testimony commitments from at least 200 workers ahead of a 2026 trial, a threshold the judge viewed as necessary to reliably represent the full group.

No class action

In a late-Friday order, California Superior Court Judge Peter Borkon concluded that the suit could not remain a class action, stating he could not confidently apply the experiences of a much smaller group of testifying workers to thousands of potential class members. His ruling reverses a 2024 decision by a different judge who had certified the case under the belief that a trial of that size would be manageable, as noted in a Reuters report.

The lawsuit was originally filed by former assembly-line worker Marcus Vaughn, who alleged that Black employees at Tesla’s Fremont factory were exposed to various forms of racially hostile conduct, including slurs, graffiti, and instances of disturbing objects appearing in work areas. Tesla has previously said it does not tolerate harassment and has removed employees found responsible for misconduct. Neither Tesla nor the plaintiffs’ legal team immediately commented on the latest ruling.

Tesla’s legal challenges

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While the decertification narrows the scope of this particular case, Tesla still faces additional litigation over similar allegations. A separate trial involving related claims brought by a California state civil rights agency is scheduled just two months after the now-vacated class trial date. The company is also contending with federal race discrimination claims filed by the U.S. Equal Employment Opportunity Commission, alongside several individual lawsuits it has already resolved.

For now, the reversal removes the large-scale exposure Tesla would have faced in a unified class trial, shifting the dispute back to individual claims rather than a single mass action. The case is Vaughn v. Tesla, filed in Alameda County Superior Court.

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