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Tesla FSD Beta 10.69.3.1 update reviews from Beta testers

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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.

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“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. 

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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. 

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“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.

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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. 

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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.

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 confirms crucial detail of Miami Robotaxi launch

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Tesla has confirmed a crucial detail of its Miami Robotaxi launch, stating that the fleet is operating on an Unsupervised basis, joining a few other cities where company employees do not watch over the vehicles from inside.

Tesla’s Head of AI, Ashok Elluswamy, confirmed the detail on X, answering a highly speculated question about the Robotaxi Service in Miami, which was launched on June 3:

The first launch of Robotaxi in Florida, Miami presents a unique opportunity for Tesla as it is operating the Unsupervised Robotaxi ride-hailing service in a major tourist hotspot in the Sunshine State. It also signals the suite will expand to other cities soon; many have requested Orlando, a heavy tourist spot with Disney and other resorts nearby, get access to the program soon as well.

Miami is getting a conservative rollout as well, just as Tesla has done with other cities. The initial geofence covers a compact 10–14 square mile zone in western Miami-Dade County, primarily West Miami extending toward Doral and Sweetwater. It is bounded roughly by SR-826 (Palmetto Expressway) to the north and US-41 (Tamiami Trail) to the south, excluding downtown Miami, Miami Beach, the airport, and most of Coral Gables.

Tesla has also been pretty slim on other details. For example, Tesla has not disclosed the exact fleet size, but field reports and license plate tracking indicate just two unsupervised Model Y vehicles were active on launch day, increasing to three within 48 hours.

According to The Road to Autonomy, a nearby staging lot near Miami International Airport holds dozens of Cybercabs alongside additional Model Y units, suggesting capacity for rapid scaling as demand and data collection grow.

The confirmation of Robotaxi being Unsupervised carries immense weight. It establishes that Tesla’s Miami Robotaxi operations run without human safety drivers or remote supervision, relying entirely on the company’s Full Self-Driving technology. Miami becomes the second major U.S. city after Austin to offer unsupervised Robotaxi rides from day one.

The move reflects rapid progress in Tesla’s AI efforts. Neural networks trained on vast real-world data now handle complex urban environments, including South Florida’s heavy traffic, pedestrians, and rainy conditions. Industry observers see it as validation of Tesla’s vision-centric, data-driven approach versus traditional rule-based systems; a truly unorthodox approach in this day and age.

Challenges remain, including regulatory oversight, public trust, and scaling the fleet to match geofence ambitions. Miami’s small initial footprint and limited vehicles highlight a deliberate, measured expansion strategy focused on safety and data gathering.

Nevertheless, the unsupervised confirmation marks a pivotal milestone. It showcases technical readiness and advances Tesla’s vision of transforming vehicles into autonomous revenue generators while reshaping urban mobility. For Miami users, driverless transportation has moved from concept to reality.

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Radiologist who drove Tesla off cliff has attempted murder charges dismissed

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A California radiologist who drove his Tesla Model Y off a 250-foot cliff in an attempt to kill his family has had his charges dismissed after doctors say he is “doing well” in a mental health program.

Dharmesh Patel was charged with three counts of attempted murder in connection with a January 2023 crash where he drove his Tesla off a cliff, injuring his wife and two children, aged 7 and 4 at the time.

Patel drove the Tesla off Devil’s Slide in California, an area that is extremely rough to the point that investigators and rescuers expected the worst when arriving at the scene for the first time. Patel supposedly had schizoaffective disorder, according to Deputy District Attorney Dominique Davis.

Shockingly, Patel’s wife, who was in the vehicle, testified that she did not want her husband to be prosecuted, noting that their children missed their father and they wanted him to come back home. Patel’s attorney argued, “not everyone who commits a crime is a criminal.”

Doctor who took Tesla off cliff gets support from unlikely person

A three-day trial in Mental Health Diversion Court ruled in Patel’s favor, which kept him out of jail and instead on house arrest. He was admitted to a Mental Health Diversion Program, which he successfully completed, the Associated Press reported. San Mateo County District Attorney Steve Wagstaffe said the judge was “required by law” to dismiss the charges:

“If the person who’s given mental health diversion follows the treatment plan, there’s nothing that can be done, and at the end of the two years he gets it wiped out of his record.”

Wagstaffe said he has argued, along with other DAs in California, to have attempted murder removed from the list of charges eligible to be dismissed due to mental health diversion programs.

Patel had the charges officially dismissed on Monday; his wife waited for him as he left court and they departed the building together, according to Mercury News. Patel surrendered his California medical license in December.

The crash has been one of the best examples of Tesla’s incredible engineering, which has saved four lives in this particular instance. The car was totalled but kept the four human beings alive and safe, which is something that many referred to as “an absolute miracle.”

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Tesla battery recycling efforts increased 20 percent last year

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Credit: Tesla/YouTube

A common misconception of anti-EV proponents is that the batteries used in the vehicles are detrimental to the environment and that they cause more waste than they are worth. But a look at Tesla’s battery recycling efforts last year shows the company is doing more than ever to recover materials and give portions of the cells a second life.

Tesla reported a significant milestone in its sustainability efforts last year, with battery recycling volumes rising 20% compared to 2024. According to the company’s 2025 Impact Report, Tesla recycled over 14,000 metric tons of battery material through a combination of in-house processing at its Gigafactories and collaborations with third-party recycling partners.

This amount of recovered material is equivalent to the resources needed to produce approximately 46,000 long-range battery packs. The increase reflects growing operational scale as Tesla’s global vehicle fleet expands and more batteries reach end-of-life or manufacturing scrap becomes available for processing.

Tesla and Battery Recycling

Battery recycling forms a core part of Tesla’s circular economy strategy. The company designs its batteries for longevity, often exceeding 200,000 miles of driving, and prioritizes repairs, remanufacturing, and second-life applications before full recycling.

Once packs are decommissioned, Tesla ensures 100% are recycled with no materials sent to landfills. This approach recovers critical metals including lithium, nickel, cobalt, and copper, which can be refined and reused in new battery production.

Tesla has advanced hydrometallurgical recycling processes capable of achieving recovery rates up to 98% for key battery metals. These methods are more efficient and environmentally friendly than traditional pyrometallurgical techniques, reducing energy use and enabling higher-purity materials suitable for direct reintegration into battery manufacturing.

Tesla co-founder JB Straubel confirms Redwood’s battery recycling operations are already profitable

In-house capabilities are supplemented by a network of specialized partners, creating a robust system that handles both production scrap and end-of-life packs.

The environmental and economic benefits are substantial. Recycling reduces reliance on virgin mining, lowers the carbon footprint associated with raw material extraction and processing, and helps stabilize supply chains for critical minerals amid rising global EV demand. As millions of Tesla vehicles age, the volume of recyclable material is expected to grow significantly in the coming years.

This 20% year-over-year growth demonstrates the effectiveness of Tesla’s investments in recycling infrastructure and technology. It positions the company as a leader in addressing one of the automotive industry’s major sustainability challenges. Continued innovation in battery design for easier disassembly and higher recyclability will further enhance these efforts.

Overall, Tesla’s progress in 2025 highlights how scaling recycling operations supports both environmental goals and long-term business resilience in the transition to electric mobility. As the EV market matures, such closed-loop systems will become increasingly vital for sustainable growth.

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