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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.

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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.

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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EVgo taps Tesla Superchargers for mass charging expansion

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Credit: EVgo

EVgo has tapped Tesla Superchargers for its most recent efforts to expand its charging presence in the United States, a move that seems logical based on the effectiveness of the automaker’s own infrastructure.

EVgo opened its first Supercharger site in Illinois, a 12-stall station near downtown Chicago at 3145 South Ashland Avenue in the Riverside Square & River’s Edge center, right beside a grocery store. This marks the start of the company’s plan to deploy hundreds of Supercharger stalls across the United States, primarily at grocery-anchored Regency Centers properties where drivers can shop, eat, or run errands while they charge.

The new location uses Tesla’s Magic Dock technology so both NACS and CCS vehicles can plug in natively without drivers needing to carry their own adapters. Peak power reaches 325 kW at this site, with pricing set between $0.25 and $0.35 per kWh depending on the hour—the same rate for Tesla and non-Tesla drivers.

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The stalls also appear in Tesla’s in-car navigation and Trip Planner, making them easy for Tesla owners to find and route to. Illinois has seen EV registrations rise nearly 60 percent over the past two years, and EVgo’s broader network has experienced more than 700 percent growth in charging demand over three years, so the timing fits the market’s trajectory.

Choosing Tesla hardware through the Supercharger for Business program turns out to have been a smart, practical move.

Tesla’s V4 stalls and cabinets deliver high, reliable power with a proven track record of strong uptime, while Magic Dock delivers true dual-standard compatibility in one package. Because the sites show up in Tesla’s navigation tools, EVgo instantly gains visibility among millions of existing Tesla drivers, which should raise utilization and help the company double its addressable market as more vehicles adopt NACS. EVgo still owns the stations and sets pricing, yet benefits from Tesla’s established hardware, longer cables, and operational support.

The result is faster, lower-risk infrastructure expansion that serves every EV driver—Tesla or otherwise—with convenient, high-power charging at everyday retail locations. For drivers, that means fewer adapters, more predictable stops, and a denser network just as electric vehicles become everyday transportation.

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Tesla Giga Texas reportedly moves to 24/7 production

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Credit: @JoeTegtmeyer/X

Tesla’s Austin Gigafactory is reportedly shifting to round-the-clock vehicle production through the end of 2026, according to longtime drone observer Joe Tegtmeyer.

In his November 2 update, Tegtmeyer, widely regarded as one of the most reliable independent sources on Giga Texas activity (we call him the Drone GOAT), stated that the plant has added a night shift, creating two 12-hour production shifts.

Tegtmeyer said in his video:

“Now, I do have some interesting news about that when it comes to the production schedule here at Giga Texas, and things are actually looking pretty good, especially when you think about what the demand is and the delivery numbers that they’re looking for and what they’re expecting. So, normally they have shifts Monday through Friday. It’s a day shift and it’s about 10 hours long or so, give or take. But now they’re on day and night shifts and they’re going to 12-hour days. So they’re going to be adding or they have another shift. They have 12 hours for both of them. In addition to that, the typical downtime that we’re going to be seeing around the holidays, specifically Thanksgiving and Christmas to the New Year time frame is actually changed. And we’re not going to see those big several day events where there is no production. At least that’s what the plan is right now. So, it’s really a great sign, I think, when we consider what they’ve done in the past and what production and the deliveries have been so far. So, maybe it’s shaping up to be a really strong quarter.”

Previously, General Assembly typically operated on a single roughly 10-hour day shift, Monday through Thursday or Friday. The new arrangement keeps General Assembly on its Monday-to-Thursday schedule while adding overnight capacity, and most other areas of the factory continue working the full week with some weekend activity.

Notably, the plant is also forgoing the multi-day shutdowns around Thanksgiving and the Christmas–New Year period that have occurred in prior years

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Giga Texas currently builds the Model Y, the larger Model Y L, the Cybertruck, and the Cybercab robotaxi. Tesla has not confirmed the shift change or specified which lines will receive the extra output. Recent comments suggest Cybercab production has been constrained by the pace at which the Robotaxi fleet can absorb new vehicles, making the Model Y and Model Y L the more likely beneficiaries as the company works through order backlogs.

Tegtmeyer’s November 2 footage and commentary also highlighted broader site progress. Cortex 2 continues to expand, with additional compute coming online, a roughly 25 percent lengthening of the structure on the north end, and work on a third cooling plant.

The Boring Company tunnel site showed increased activity in the large launch pit, while the Advanced Technology Chip Fab (a SpaceX–Tesla joint R&D facility) continued steel superstructure and heavy truss installation, along with concrete pours.

The reported capacity increase arrives as Tesla aims for a strong fourth quarter following solid third-quarter results. While unconfirmed by the company, the information aligns with Tegtmeyer’s consistent track record of accurate on-site observations.

If Tesla makes the decision to sustain the all-day production plans, the dual 12-hour shifts would meaningfully raise weekly output potential at one of Tesla’s most important manufacturing hubs.

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Tesla opens new “Cybaer” Engineering Center in Berlin

Tesla opened its Berlin Engineering Center, uniting four sites and 30 labs near Giga Berlin.

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Tesla has opened a new engineering hub in Berlin, putting the teams that design and test its European parts about 30 minutes from the factory that builds them.

The Berlin Tesla Engineering Center, or BTEC, opened Wednesday in the Köpenick district. Tesla Europe said on X that the project went from permit to operational in under a year and consolidates four engineering sites and 30 labs onto a single campus. It is the company’s third hub of this kind, after Fremont and Shanghai.

“We’re combining materials, powertrain, vehicle engineering & validation under one roof, enabling a short feedback loop between development & ramp,” Tesla Europe wrote.

 

Tesla converted the former production halls of a cable factory for the site. About 250 engineers and technicians are starting there, most of them relocated from existing Tesla facilities such as Tilburg in the Netherlands. Tesla has already applied for approval of a second phase that would take the headcount to roughly 500, and it put the total investment at €100 million.

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The labs cover battery cells, motors, materials and complete vehicles, and a large hall is set aside for safety testing of components, including airbags. During the opening, staff demonstrated a pedestrian leg impact test on the front of a Tesla using a catapult rig, Tagesspiegel reported. The center’s logo is a cubist Berlin bear that employees call the “Cybaer.”

Tesla said its Berlin design and engineering teams already contributed to the Model Y, Semi and Roadster, and that the work continues at BTEC. The center will handle technical problem solving for Giga Berlin in Grünheide while also developing and validating parts for vehicles built in China and the United States.

“We came here to stay,” BTEC head Brückner told dpa. “We serve all of Europe via Gigafactory Berlin-Brandenburg.” He said a site close to the plant was a priority, and that the old industrial building allowed Tesla to move quickly.

That proximity matters more now that Giga Berlin is growing again. In June, Tesla said it would raise Model Y output at the plant to 7,500 vehicles per week and hire 1,000 more workers after a record first quarter of more than 61,000 units. The factory recently built 7,000 Model Ys in a single week for the first time. Tesla also more than doubled the planned 4680 cell capacity at the site to 18 GWh per year in May, and has talked about eventually taking Grünheide to one million vehicles annually.

Sales are giving Tesla reason to invest. KBA data released the same day showed Tesla’s German registrations nearly quadrupled year over year in October to 2,932 units, bringing the total for the first ten months of 2026 to 47,742.

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