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.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Tesla (NASDAQ: TSLA) stock received a price target update from Pierre Ferragu of Wall Street firm New Street Research, citing the company’s growing lead in self-driving and autonomy.
On Tuesday, Ferragu bumped his price target from $520 to $600, stating that the consensus from the Consumer Electronics Show in Las Vegas was that Tesla’s lead in autonomy has been sustained, is growing, and sits at a multiple-year lead over its competitors.
CES 2026 validates Tesla’s FSD strategy, but there’s a big lag for rivals: analyst
“The signal from Vegas is loud and clear,” the analyst writes. “The industry isn’t catching up to Tesla; it is actively validating Tesla’s strategy…just with a 12-year lag.”
The note shows that the company’s prowess in vehicle autonomy is being solidified by lagging competitors that claim to have the best method. The only problem is that Tesla’s Vision-based approach, which it adopted back in 2022 with the Model 3 and Model Y initially, has been proven to be more effective than competitors’ approach, which utilizes other technology, such as LiDAR and sensors.
Currently, Tesla shares are sitting at around $433, as the company’s stock price closed at $432.96 on Tuesday afternoon.
Ferragu’s consensus on Tesla shares echoes that of other Wall Street analysts who are bullish on the company’s stock and position within the AI, autonomy, and robotics sector.
Dan Ives of Wedbush wrote in a note in mid-December that he anticipates Tesla having a massive 2026, and could reach a $3 trillion valuation this year, especially with the “AI chapter” taking hold of the narrative at the company.
Ives also said that the big step in the right direction for Tesla will be initiating production of the Cybercab, as well as expanding on the Robotaxi program through the next 12 months:
“…as full-scale volume production begins with the autonomous and robotics roadmap…The company has started to test the all-important Cybercab in Austin over the past few weeks, which is an incremental step towards launching in 2026 with important volume production of Cybercabs starting in April/May, which remains the golden goose in unlocking TSLA’s AI valuation.”
Tesla analyst breaks down delivery report: ‘A step in the right direction’
Tesla has transitioned from an automaker to a full-fledged AI company, and its Robotaxi and Cybercab programs, fueled by the Full Self-Driving suite, are leading the charge moving forward. In 2026, there are major goals the company has outlined. The first is removing Safety Drivers from vehicles in Austin, Texas, one of the areas where it operates a ride-hailing service within the U.S.
Ultimately, Tesla will aim to launch a Level 5 autonomy suite to the public in the coming years.
Elon Musk
Elon Musk’s Biggest Revelations on AI, Robots, and the Future of Work from the Moonshots Podcast
Elon Musk’s appearance on the Moonshots with Peter Diamandis podcast was packed with bold predictions, candid admissions, and surprising tech insights. The nearly three-hour conversation covered everything from artificial intelligence to humanoid robots, geopolitics, and the future of work. Here are the top 10 most intriguing takeaways:
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Aggressive AGI Timeline Predictions
Musk offered a detailed view on when artificial general intelligence (AGI) could emerge, suggesting it may arrive sooner than many expect, emphasizing both transformative potential and risks.
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U.S. vs. China in the AI Race
He discussed the strategic competition between the United States and China over AI development, noting that geopolitical dynamics will shape how and who leads in the next decades.
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Future of Job Markets
Musk touched on how AI and automation could reshape employment, predicting massive boosts in productivity alongside potential disruptions in traditional work structures.
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Clean Energy Transition
A recurring theme was the role of clean energy in future economies, with Musk reiterating the importance of scaling sustainable power generation and storage.
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Humanoid Robots Are Coming
On the podcast, Musk elaborated on Tesla’s work on humanoid robots, hinting at timelines and applications that go beyond factories to general-purpose assistance.
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Tesla Roadster “Last Human-Driven Car”
Outside the core discussion topics, Musk teased features of the upcoming Tesla Roadster — calling it “the best of the last of the human-driven cars” and suggesting safety won’t be its main selling point.
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The Role of AI in Clean Energy and Robotics
Linking AI to both energy optimization and robotics, Musk explained how smarter systems could accelerate decarbonization and task automation across industries.
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U.S. Innovation Leadership
Musk argued that maintaining American leadership in key tech sectors like AI, space, and robotics should be a national priority, with thoughtful policy and investment.
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Job Creation vs. Job Elimination
While acknowledging automation’s disruptive effects, he also outlined scenarios where new industries and opportunities could emerge, particularly in AI, space, and advanced manufacturing.
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Long-Term Vision for Humanity
Throughout the conversation, Musk revisited his long-term philosophical views — including a belief in humanity’s responsibility to become a multi-planetary and technologically empowered species.
Whether you agree with Musk’s optimism or not, the podcast offers a window into the thinking of one of the most influential figures in tech today, in and why his visions continue to spark debate and inspiration.
Elon Musk’s xAI closes upsized $20B Series E funding round
Tesla gets price target bump, citing growing lead in self-driving
