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Tesla slowly rolls out FSD Beta v11 for wide release

Credit: Whole Mars Blog | Twitter

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Tesla appears to have started slowly rolling out v11 of the Full Self-Driving Beta program this morning, just a few days after CEO Elon Musk stated the company would begin releasing it to more vehicles.

Tesla’s FSD Beta v11.3.1 started to roll out to employees late last year and a select few of the automaker’s long-standing testers a few weeks ago.

The controlled rollout allows Tesla to monitor its behaviors and tendencies in a highly safe way, as it can determine issues or bugs in a small sample size and fix them before a wider release begins.

On March 14, Musk stated that “ V11 starts going wide this weekend,” and we’ve heard it before. However, it appears the automaker is happy with the early reviews and is starting to release it to more vehicles.

v11.3.2 is the newest version of the Beta and is being rolled out with Tesla Software Update 2022.45.11. According to statistics from TeslaScope, more vehicles are being updated with the new FSD Beta v11, and more drivers on the r/TeslaMotors subreddit are beginning to report that they have received the update.

Drivers who have experienced the early editions of this rollout have reported that there have been several improvements to highway driving, and inner-city street navigation has also been refined and feels more accurate than ever before, which is undoubtedly a step in the right direction.

The full release notes for the FSD Beta are available below via TeslaScope:

  • Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. FSD Beta’s multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making.
  • Improved recall for close-by cut-in cases by 15%, particularly for large trucks and high-yaw rate scenarios, through an additional 30k auto-labeled clips mined from the fleet. Additionally, expanded and tuned dedicated speed control for cut-in objects.
  • Improved the position of ego in wide lanes, by biasing in the direction of the upcoming turn to allow other cars to maneuver around ego.
  • Improved handling during scenarios with high curvature or large trucks by offsetting in lane to maintain safe distances to other vehicles on the road and increase comfort.
  • Improved behavior for path blockage lane changes in dense traffic. Ego will now maintain more headway in blocked lanes to hedge for possible gaps in dense traffic.
  • Improved lane changes in dense traffic scenarios by allowing higher acceleration during the alignment phase. This results in more natural gap selection to overtake adjacent lane vehicles very close to ego.
  • Made turns smoother by improving the detection consistency between lanes, lines and road edge predictions. This was accomplished by integrating the latest version of the lane-guidance module into the road edge and lines network.
  • Improved accuracy for detecting other vehicles’ moving semantics. Improved precision by 23% for cases where other vehicles transition to driving and reduced error by 12% for cases where Autopilot incorrectly detects its lead vehicle as parked. These were achieved by increasing video context in the network, adding more data of these scenarios, and increasing the loss penalty for control- relevant vehicles.
  • Extended maximum trajectory optimization horizon, resulting in smoother control for high curvature roads and far away vehicles when driving at highway speeds.
  • Improved driving behavior next to row of parked cars in narrow lanes, preferring to offset and staying within lane instead of unnecessarily lane changing away or slowing down.
  • Improved back-to-back lane change maneuvers through better fusion between vision-based localization and coarse map lane counts.
  • Added text blurbs in the user interface to communicate upcoming maneuvers that FSD Beta plans to make. Also improved the visualization of upcoming slowdowns along the vehicle’s path. Chevrons render at varying opacity and speed to indicate the slowdown intensity, and a solid line appears at locations where the car will come to a stop.
  • Improved the recall and precision of object detection, notably reducing the position error of semi-trucks by 10%, increasing the recall and precision of crossing vehicles over 100m away by 3% and 7%, respectively, and increasing the recall of motorbikes by 5%. This was accomplished by implementing additional quality checks in our two million video clip autolabeled dataset.
  • Reduced false offsetting around objects in wide lanes and near intersections by improving object kinematics modeling in low speed scenarios.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

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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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SpaceX’s Crew-11 mission targets July 31 launch amid tight ISS schedule

The flight will lift off from Launch Complex 39A at Kennedy Space Center in Florida.

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(Credit: SpaceX)

NASA and SpaceX are targeting July 31 for the launch of Crew-11, the next crewed mission to the International Space Station (ISS). The flight will lift off from Launch Complex 39A at Kennedy Space Center in Florida, using the Crew Dragon Endeavour and a Falcon 9 booster.

Crew Dragon Endeavour returns

Crew-11 will be the sixth flight for Endeavour, making it SpaceX’s most experienced crew vehicle to date. According to SpaceX’s director of Dragon mission management, Sarah Walker, Endeavour has already carried 18 astronauts representing eight countries since its first mission with NASA’s Bob Behnken and Doug Hurley in 2020, as noted in an MSN report.

“This Dragon spacecraft has successfully flown 18 crew members representing eight countries to space already, starting with (NASA astronauts) Bob (Behnken) and Doug (Hurley) in 2020, when it returned human spaceflight capabilities to the United States for the first time since the shuttle retired in July of 2011,” Walker said.

For this mission, Endeavour will debut SpaceX’s upgraded drogue 3.1 parachutes, designed to further enhance reentry safety. The parachutes are part of SpaceX’s ongoing improvements to its human-rated spacecraft, and Crew-11 will serve as their first operational test.

The Falcon 9 booster supporting this launch is core B1094, which has launched in two previous Starlink missions, as well as the private Ax-4 mission on June 25, as noted in a Space.com report.

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The four-members of Crew-11 are NASA astronauts Zena Cardman and Mike Fincke, as well as Japan’s Kimiya Yui and Russia’s Oleg Platonov.

Tight launch timing

Crew-11 is slated to arrive at the ISS just as NASA coordinates a sequence of missions, including the departure of Crew-10 and the arrival of SpaceX’s CRS-33 mission. NASA’s Bill Spetch emphasized the need for careful planning amid limited launch resources, noting the importance of maintaining station altitude and resupply cadence.

“Providing multiple methods for us to maintain the station altitude is critically important as we continue to operate and get the most use out of our limited launch resources that we do have. We’re really looking forward to demonstrating that capability with (CRS-33) showing up after we get through the Crew-11 and Crew-10 handover,” Spetch stated.

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EV fans urge Tesla to acquire Unplugged Performance for edge in fleet and security industry

Unplugged Performance has built a name for itself by producing performance upgrades for Tesla vehicles.

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Credit: Unplugged Performance

A growing number of Tesla enthusiasts and longtime community voices are calling on the electric vehicle maker to acquire Unplugged Performance, a California-based aftermarket company best known for tuning Tesla vehicles and developing specialized government fleet solutions under its UP.FIT division.

The idea was once considered a niche proposal among EV fans, but it is now gaining serious attention not just as a performance play but as a strategic move to deepen Tesla’s roots in the fleet and security industry. 

A strategic fit

Unplugged Performance has built a name for itself by producing performance upgrades for Tesla vehicles, from track-optimized components to visual and aerodynamic upgrades. But in recent years, its UP.FIT division has pivoted toward a more functional future by outfitting Tesla vehicles like Model Ys for police, military, and government use.

That work has sparked growing calls for closer collaboration with Tesla, especially as the EV maker increasingly leans into autonomy, AI, and fleet services as core components of its next chapter.

“I posted this four years ago, but I think it’s more true now than ever,” wrote Whole Mars Catalog, a well-known Tesla investor and FSD Beta tester, on X. “Tesla should buy Unplugged. But not just as a Performance division. What they are doing with UP.FIT unlocks large government and commercial fleet purchases that can improve utilization.”

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Tesla fans such as shareholder Sawyer Merritt echoed the sentiment, calling Unplugged a “great fit within Tesla.” adding, “They are literally located directly next to Tesla’s design studio in Hawthorne.”

Enabling the next wave

Supporters of the idea noted that integrating Unplugged into Tesla’s corporate structure could help accelerate the adoption of autonomous technologies in government sectors. With UP.FIT patrol cars already in use across some U.S. police departments, Tesla fans envisioned a future where self-driving Teslas could potentially revolutionize law enforcement, search-and-rescue, and public service logistics.

“Just imagine how autonomous patrol cars could transform policing and bring us into a safer future,” the veteran FSD tester wrote.

The benefits could also extend to Tesla’s existing consumer base. “They also have some incredible products in the works that I think will appeal to many ordinary Tesla drivers — not just those looking for performance or mods. Stuff that’s so good it should have come straight from the design studio next door,” Whole Mars Catalog noted.

Unplugged Performance, founded in 2013, shares not just a product vision with Tesla, but also geography. Its Hawthorne headquarters sits directly adjacent to Tesla’s design studio, and the two companies have maintained a close working relationship over the years. The aftermarket firm has long positioned itself as a “mission-aligned” partner to Tesla.

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In response to the recent calls for acquisition, Unplugged Performance acknowledged the support from the community. “Our very existence is to support the Tesla mission with @UpfitTesla and @UnpluggedTesla,” Unplugged CEO Ben Schaffer posted on X. “We love working with Tesla and are grateful for the community’s support since 2013!”

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Tesla debuts hands-free Grok AI with update 2025.26: What you need to know

All new Tesla vehicles delivered on or after July 12, 2025, will include Grok AI out of the box

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Credit: Tesla China

Tesla has begun rolling out Grok, an in-car conversational AI assistant developed by xAI, to eligible vehicles starting July 12. The feature marks the most direct integration yet between Elon Musk’s artificial intelligence startup and Tesla’s consumer product lineup, offering drivers hands-free access to a chat-style companion while on the road.

Grok comes pre-installed on new vehicles

According to Tesla’s FAQ page for the feature, all new vehicles delivered on or after July 12, 2025, will include Grok AI out of the box. Owners of older vehicles may gain access through an over-the-air update, provided their vehicle meets a few hardware and software requirements.

Specifically, Grok is currently only supported on Tesla models equipped with an AMD infotainment processor and running vehicle software version 2025.26 and higher. Compatible models include the Model S, Model 3, Model X, Model Y, and Cybertruck. A Premium Connectivity subscription or active Wi-Fi connection is also required.

Tesla notes that additional vehicle compatibility may arrive in future software updates.

Grok’s features and limitations for now

Drivers can engage with Grok using the App Launcher or by pressing and holding the voice command button on the steering wheel. Grok is designed to answer questions and hold conversations using natural language, offering responses tailored to its chosen personality—ranging from “Storyteller” to the more eccentric “Unhinged.”

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For fun, Tesla posted a demonstration of Grok likely running on “Unhinged” talking about what it would do to Optimus when they are on a date, much to the shock of the humanoid robot’s official social media account.

It should be noted, however, that Grok cannot currently issue commands to the vehicle itself, at least for now. Traditional voice commands for tasks like climate control, navigation, or media remain separate from Grok as of writing.

The feature is being released in Beta and does not require a Grok account or xAI subscription to activate, although that policy may change over time.

Grok privacy and in-car experience

Tesla emphasizes that interactions with Grok are securely processed by xAI and not linked to a user’s Tesla account or vehicle. Conversations remain anonymous unless a user signs into Grok separately to sync their history across devices.

Tesla has also begun promoting Grok directly on its official vehicle webpages, showcasing the feature as part of its in-car experience, further highlighting the company’s increasing focus on AI and infotainment features on its all-electric vehicles.

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