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Tesla’s new, ‘mind-blowing’ Full Self-Driving Beta is two weeks from release

(Credit: Whole Mars Catalog/Twitter)

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Tesla is planning to release a new, mind-blowing version of the Full Self-Driving Beta in “probably two weeks,” according to CEO Elon Musk.

Tesla’s Full Self-Driving program is still under its final testing phase before being rolled out to the masses, and a select group of “Beta Testers” are responsible for assessing the performance of the FSD suite in real-world situations. The Beta program has been constantly improved through Tesla’s Over-the-Air software updates, and the next one is set to be ready for installation in “probably two weeks.” Elon Musk says that it “will blow your mind.”

Identified as FSD Beta v9.0, more improvements are set to be applied to the semi-autonomous driving suite in the coming weeks. Tesla has utilized its real-world owners to test the FSD functionality due to the use of the Neural Network that captures and stores information and behaviors from other drivers and applies it to future situations to ensure safety. Tesla’s FSD Suite is constantly improving because of the Neural Network, and with every mile driven, real-world owners are contributing to the improvement and increased complexity of the suite.

Tesla introduced the Beta testing group in October following the Q3 2020 Earnings Call. The current FSD Beta is only accessible through some owners and employees who Tesla has selected themselves.

Perhaps the largest change that Tesla will make to the FSD Beta is the transition to “Pure Vision” rather than reliance on vision and radar, as Musk described in the Tweet. Tesla went into detail regarding this strategy in the Q1 2021 Update Letter.

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The automaker wrote:

“We believe that a vision-only system is ultimately all that is needed for full autonomy. Our AI-based software architecture has been increasingly reliant on cameras, to the point where radar is becoming unnecessary earlier than expected. As a result, our FSD team is fully focused on evolving to a vision-based autonomous system and we are nearly ready to switch the US market to Tesla Vision.”

Tesla has long relied on both cameras and radar to accurately depict surroundings to ensure safety while operating the vehicle with FSD. However, it is looking to shift to a completely camera-based approach, which could align with the eventual rollout of the Dojo Supercomputer.

Tesla’s Elon Musk details Dojo, Autopilot’s 4D training program

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Dojo was announced by Tesla last year, and Musk said it would transition the FSD suite from 2.5D to 4D. 4D is “video essentially,” Musk said. “It’s capable of things that if you just look — looking at things as individual pictures as opposed to video — basically, like you could go from like individual pictures to surround video, so it’s fundamental. So the car will seem to have just like a giant improvement.”

Tesla’s plan to utilize Dojo would involve switching to 4D, which would require video instead of any radar detection. This seems to be Tesla and Musk’s ultimate strategy to attain the elusive Level 5 Autonomy rating, requiring drivers to no longer pay attention to the road and the vehicle’s surroundings. While Tesla has not yet accomplished this feat, there is no indication that it cannot achieve it eventually, especially as the FSD system becomes more complex over time.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla wins big as NHTSA drops three-year, 120k unit probe against Model Y

In all, 120,089 Model Ys were impacted, but in two cases, drivers reported the complete detachment of the steering wheel from the steering column while the vehicle was in motion. NHTSA’s initial review revealed that the vehicles had been delivered without the critical retaining bolt that secures the steering wheel to the splined steering column.

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Credit: Tesla Asia | X

A probe into over 120,000 2023 Tesla Model Y units has been closed by the National Highway Traffic Safety Administration (NHTSA). The probe ends without the agency requiring any action from Tesla.

The probe, designated PE23-003, opened in March 2023 and stemmed from just two consumer complaints involving low-mileage Model Y SUVs.

In all, 120,089 Model Ys were impacted, but in two cases, drivers reported the complete detachment of the steering wheel from the steering column while the vehicle was in motion. NHTSA’s initial review revealed that the vehicles had been delivered without the critical retaining bolt that secures the steering wheel to the splined steering column.

Factory records showed each car had undergone an “end-of-line” repair at Tesla’s facility, during which the steering wheel was removed and reinstalled. The bolt was apparently omitted after the repair, leaving only a friction fit between the wheel and column to hold it in place temporarily.

According to NHTSA documents, this friction fit maintained the connection during initial low-mileage driving until forces during normal operation caused the wheel to detach. Both vehicles that were impacted were repaired under warranty with no injuries reported, and no additional incidents surfaced during the agency’s three-year review.

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Tesla Model Y steering wheel detachments prompt NHTSA probe

After analyzing manufacturing processes, complaint data, and field reports, NHTSA concluded the issue was isolated to those two post-repair vehicles rather than indicative of a systemic defect in Tesla’s production or quality control.

The closure means the agency has determined no recall or further enforcement is warranted for this specific missing-bolt condition.

This outcome marks the second NHTSA investigation into Tesla closed without action this month, as a recent probe into the company’s “Actually Smart Summon” feature was also resolved in April.

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Tesla Full Self-Driving feature probe closed by NHTSA

The two resolutions provide some relief for Tesla amid the continuous and somewhat unfair regulatory scrutiny of its vehicles, including open inquiries into driver assistance systems.

Importantly, the closed probe does not involve or affect Tesla’s separate May 2023 voluntary recall of certain 2022-2023 Model Y vehicles. That recall addressed a different issue—steering-wheel fasteners that were installed but not torqued to specification—prompted by a service technician’s observation of a loose wheel during unrelated repairs.

Tesla identified a small number of related warranty claims and proactively addressed the matter without NHTSA mandate.

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The Model Y remains one of the world’s best-selling vehicles, and Tesla continues to refine its lineup, including the recent “Juniper” refresh. While federal oversight of the electric vehicle pioneer remains intense, this decision underscores that isolated manufacturing anomalies do not always translate into broader safety defects requiring recalls.

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Tesla Model Y L gets biggest hint yet that it’s coming to the U.S.

Over the past week, a noticeable wave of American Tesla influencers descended on China and Australia, each posting in-depth YouTube reviews of the Model Y L within days of one another.

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Credit: Tesla China

The Tesla Model Y L is perhaps the most wanted vehicle in the company’s lineup in the United States, especially now that it is void of a true family vehicle with the removal of the Model X.

In China, Tesla currently offers a longer, more family-friendly version of the Model Y, known as the Model Y L, which is longer in terms of its wheelbase and larger in terms of interior space, making it the perfect option for those with a need for a tad more room than what the all-electric crossover offers in its Standard, Premium, and Performance trims.

However, there seems to be a hint that the Model Y L could be on its way to the United States. Over the past week, a noticeable wave of American Tesla influencers descended on China and Australia, each posting in-depth YouTube reviews of the Model Y L within days of one another:

The timing has sparked some intense speculation as to whether Tesla is quietly preparing to bring the long-wheelbase, three-row family SUV to North America after months of requests from fans.

The Model Y L stretches the wheelbase by about five inches compared to the standard Model Y.

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This delivers dramatically more rear legroom, optional captain’s chairs in the second row, and a true six- or seven-seat configuration ideal for growing families. Reviewers praise its refined ride, upgraded interior features like a rear touchscreen and premium audio, and competitive range—up to roughly 466 miles in some configurations.

Many observers see the coordinated influencer trip as more than a coincidence. Tesla China appears to have hosted the group, possibly tied to the Beijing Auto Show, giving U.S.-focused creators early access to hands-on footage aimed squarely at North American audiences.

Tesla Model Y lineup expansion signals an uncomfortable reality for consumers

Tesla watchers are quick to point out this isn’t the first time such a pattern has emerged.

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Just months earlier, American influencers were similarly invited to China to test-drive the refreshed Model Y Performance. Those videos dropped in the lead-up to the variant’s U.S. rollout, generating exactly the kind of pre-launch hype that helped smooth its September arrival in American showrooms.

The parallel is obviously hard to ignore, as Tesla has used overseas influencer trips before as a low-key way to build anticipation without formal announcements. With the Model Y L potentially hitting the U.S. market late this year, according to CEO Elon Musk, the timing would make sense.

Tesla Model Y L might not come to the U.S., and it’s a missed opportunity

Of course, it could still be coincidental. Tesla regularly invites creators to its Shanghai factory and events for broader promotional purposes, and the Model Y L has been on sale in China for some time. No official word has come from Tesla or Elon Musk about U.S. availability, pricing, or timing.

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Import tariffs, regulatory hurdles, and production priorities at Fremont or the new Mexican Gigafactory could still delay or alter any stateside plans.

Even so, the buzz is real. U.S. families have long asked for a more spacious, three-row Tesla SUV that doesn’t require stepping up to the larger Model X.

If the influencer campaign is any indication, the Model Y L—or a close North American cousin—could finally answer that call. For now, American Tesla fans are watching closely and wondering whether this latest China trip is just good content… or the opening act for something much bigger stateside.

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Tesla begins probing owners on FSD’s navigation errors with small but mighty change

Previously lumped under “Other,” these incidents made it harder for Tesla’s AI team to isolate and prioritize map-related issues in their reinforcement learning models. There was a lot of disagreement on how certain interventions should be reported.

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Tesla has started probing owners on how often its Full Self-Driving suite has Navigation errors with a small but mighty change last night.

In its latest Software Update, which is Version 2026.2.9.9 featuring Full Self-Driving (Supervised) v14.3.2, Tesla has introduced a targeted improvement to how owners will report interventions.

With the initial rollout of v14.3.2, Tesla introduced a new Intervention Menu that appears when a disengagement occurs. It allowed owners to choose from four different categories: Preference, Comfort, Critical, or Other.

Tesla has voided the Other option and replaced it with a new “Navigation” choice, which seems much more ideal given the complaints owners have had about navigation. This seemingly minor UI tweak, rolled out widely in recent days, marks another step in Tesla’s ongoing effort to refine its autonomous driving stack through precise, crowdsourced data.

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Tesla made this change in direct response to longstanding community feedback. For years, FSD users have noted that navigation errors—such as incorrect speed limits, suboptimal routes, or directing the vehicle to a building’s rear entrance instead of the main one—frequently force interventions.

Previously lumped under “Other,” these incidents made it harder for Tesla’s AI team to isolate and prioritize map-related issues in their reinforcement learning models. There was a lot of disagreement on how certain interventions should be reported:

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By adding a dedicated “Navigation” label, the company can now tag disengagements more accurately, feeding cleaner data into its neural networks. This supports faster iteration on routing algorithms, map accuracy, and intent-aware navigation.

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Community consensus around Tesla’s navigation system has been consistent and candid. While the end-to-end AI driving behavior in v14.x earns widespread acclaim for smoothness and safety, navigation remains FSD’s clearest Achilles’ heel.

Owners frequently cite outdated map data, failure to learn from repeated corrections, and routing decisions that feel less intuitive than Google Maps or Apple Maps. Common complaints include phantom speed-limit changes, inefficient local roads, and poor point-of-interest handling.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

Many drivers report intervening on navigation far more often than on core driving maneuvers, with some estimating it accounts for the majority of disengagements outside of edge cases.

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Long-term users note that the same mapping glitches persist across years and software versions, despite thousands of collective miles of feedback. Yet the addition of the “Navigation” option has been met with optimism. It signals Tesla’s commitment to data-driven progress and suggests navigation improvements could arrive sooner.

For a community that already logs millions of FSD miles monthly, this small change could unlock meaningful gains in reliability and user trust—potentially accelerating the path to unsupervised autonomy.

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