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 starts going wide this weekend
— Elon Musk (@elonmusk) March 15, 2023
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.
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News
Tesla Roadster patent hints at radical seat redesign ahead of reveal
A newly published Tesla patent could offer one of the clearest signals yet that the long-awaited next-generation Roadster is nearly ready for its public debut.
Patent No. US 20260061898 A1, published on March 5, 2026, describes a “vehicle seat system” built around a single continuous composite frame – a dramatic departure from the dozens of metal brackets, recliner mechanisms, and rivets that make up a traditional car seat. Tesla is calling it a monolithic structure, with the seat portion, backrest, headrest, and bolsters all thermoformed as one unified piece.
The approach mirrors Tesla’s broader manufacturing philosophy. The same company that pioneered massive aluminum castings to eliminate hundreds of body components is now applying that logic to the cabin. Fewer parts means fewer potential failure points, less weight, and a cleaner assembly process overall.
Tesla ramps hiring for Roadster as latest unveiling approaches
The timing of the filing is difficult to ignore. Elon Musk has publicly targeted April 1, 2026 as the date for an “unforgettable” Roadster design reveal, and two new Roadster trademarks were filed just last month. A patent describing a seat architecture suited for a hypercar, and one that Tesla has promised will hit 60 mph in under two seconds.
The Roadster, originally unveiled in 2017, has been one of Tesla’s most anticipated yet most delayed products. With a target price around $200,000 and engineering ambitions to match, it is being positioned as the ultimate showcase for what Tesla’s technology can do.
The patent was first flagged by @seti_park on X.
Tesla Roadster Monolithic Seat: Feature Highlights via US Patent 20260061898 A1
- Single Continuous Frame (Monolithic Construction). The core invention is a seat assembly built from one continuous frame that integrates the seat portion, backrest portion, and hinge into a single component — eliminating the need for separate structural parts and mechanical joints typical in conventional seats.
- Integrated Flexible Hinge. Rather than a traditional mechanical recliner, the hinge is built directly into the continuous frame and is designed to flex, and allowing the backrest to move relative to the seat portion. The hinge can be implemented as a fiber composite leaf spring or an assembly of rigid linkages.
- Thermoformed Anisotropic Composite Material. The continuous frame is manufactured via thermoforming from anisotropic composite materials, including fiberglass-nylon, fiberglass-polymer, nylon carbon composite, Kevlar-nylon, or Kevlar-polymer composites, enabling a molded-to-shape monolithic structure.
- Regionally Tuned Stiffness Zones. The frame is engineered with up to six distinct stiffness regions (R1–R6) across the seat, backrest, hinge, headrest, and bolsters. Each zone can have a different stiffness, allowing precise ergonomic and structural tuning without adding separate components.
- Linkage Assembly Hinge Mechanism. The hinge incorporates one or more linkage assemblies consisting of multiple interlocking links with gears, connected by rods. When driven by motors or actuators, these linkages act as a flexible member to control backrest movement along a precise, ergonomically optimized trajectory.
- Multi-Actuator Six-Degree-of-Freedom Positioning System. The seat uses four distinct actuator pairs, all controlled by a central controller. These actuators work in coordinated combinations to achieve fore/aft, height, cushion tilt, and backrest rotation adjustments simultaneously.
- ECU-Based Controller Architecture. An Electronic Control Unit (ECU) and programmable controller manage all seat actuators, receive user input via a user interface (touchscreen, buttons, or switches), and incorporate sensor feedback to confirm and maintain desired seat positions, essentially making this a software-driven seat system.
- Airbag-Integrated Bolster Deployment System. The backrest bolsters (216) are geometrically shaped and sized to guide airbag deployment along a specific, pre-configured trajectory. Left and right bolsters can have different shapes so that each guides its respective airbag along a distinct trajectory, improving occupant protection.
- Ventilation Holes Formed into the Backrest. The continuous frame includes one or more ventilation holes formed directly into the backrest portion, configured to either receive airflow into or deliver airflow from the seat frame — enabling passive or active thermal comfort without requiring separate ventilation components.
- Soft Trim Recess for Tool-Free Integration. The headrest and backrest portions together define a molded recess, specifically designed to receive and secure a soft trim component (foam, fabric, or cushioning) directly into the continuous frame, eliminating the need for separate attachment hardware and simplifying final assembly.

Elon Musk
Elon Musk’s xAI plans $659M expansion at Memphis supercomputer site
The new building is planned for a 79-acre parcel located at 5414 Tulane Road, next to xAI’s Colossus 2 data center site.
Elon Musk’s artificial intelligence company xAI has filed a permit to construct a new building at its growing data center complex outside Memphis, Tennessee.
As per a report from Data Center Dynamics, xAI plans to spend about $659 million on a new facility adjacent to its Colossus 2 data center. Permit documents submitted to the Memphis and Shelby County Division of Planning and Development show the proposed structure would be a four-story building totaling about 312,000 square feet.
The new building is planned for a 79-acre parcel located at 5414 Tulane Road, next to xAI’s Colossus 2 data center site. Permit filings indicate the structure would reach roughly 75 feet high, though the specific function of the building has not been disclosed.
The filing was first reported by the Memphis Business Journal.
xAI uses its Memphis data centers to power Grok, the company’s flagship large language model. The company entered the Memphis area in 2024, launching its Colossus supercomputer in a repurposed Electrolux factory located in the Boxtown district.
The company later acquired land for the Colossus 2 data center in March last year. That facility came online in January.
A third data center is also planned for the cluster across the Tennessee–Mississippi border. Musk has stated that the broader campus could eventually provide access to about 2 gigawatts of compute power.
The Memphis cluster is also tied to new power infrastructure commitments announced by SpaceX President Gwynne Shotwell. During a White House event with United States President Donald Trump, Shotwell stated that xAI would develop 1.2 gigawatts of power for its supercomputer facility as part of the administration’s “Ratepayer Protection Pledge.”
“As you know, xAI builds huge supercomputers and data centers and we build them fast. Currently, we’re building one on the Tennessee-Mississippi state line… xAI will therefore commit to develop 1.2 GW of power as our supercomputer’s primary power source. That will be for every additional data center as well…
“The installation will provide enough backup power to power the city of Memphis, and more than sufficient energy to power the town of Southaven, Mississippi where the data center resides. We will build new substations and invest in electrical infrastructure to provide stability to the area’s grid,” Shotwell said.
Shotwell also stated that xAI plans to support the region’s water supply through new infrastructure tied to the project. “We will build state-of-the-art water recycling plants that will protect approximately 4.7 billion gallons of water from the Memphis aquifer each year. And we will employ thousands of American workers from around the city of Memphis on both sides of the TN-MS border,” she said.
News
Tesla wins another award critics will absolutely despise
Tesla earned an overall score of 49 percent, up 6 percentage points from the previous year, widening its lead over second-place Ford (45 percent, up 2 points) to a commanding 4-percentage-point gap. The company also excelled in the Fossil Free & Environment category with a 50 percent score, reflecting strong progress in reducing emissions and decarbonizing operations.
Tesla just won another award that critics will absolutely despise, as it has been recognized once again as the company with the most sustainable supply chain.
Tesla has once again proven its critics wrong, securing the number one spot on the 2026 Lead the Charge Auto Supply Chain Leaderboard for the second consecutive year, Lead the Charge rankings show.
NEWS: Tesla ranked 1st on supply chain sustainability in the 2026 Lead the Charge auto/EV supply chain scorecard.
“@Tesla remains the top performing automaker of the Leaderboard for the second year running, and increased its overall score by 6 percentage points, while Ford only… pic.twitter.com/nAgGOIrGFS
— Sawyer Merritt (@SawyerMerritt) March 4, 2026
This independent ranking, produced by a coalition of environmental, human rights, and investor groups including the Sierra Club, Transport & Environment, and others, evaluates 18 major automakers on their efforts to build equitable, sustainable, and fossil-free supply chains for electric vehicles.
Tesla earned an overall score of 49 percent, up 6 percentage points from the previous year, widening its lead over second-place Ford (45 percent, up 2 points) to a commanding 4-percentage-point gap. The company also excelled in the Fossil Free & Environment category with a 50 percent score, reflecting strong progress in reducing emissions and decarbonizing operations.
Perhaps the most impressive achievement came in the batteries subsection, where Tesla posted a massive +20-point jump to reach 51 percent, becoming the first automaker ever to surpass 50 percent in this critical area.
Tesla achieved this milestone through transparency, fully disclosing Scope 3 emissions breakdowns for battery cell production and key materials like lithium, nickel, cobalt, and graphite.
The company also requires suppliers to conduct due diligence aligned with OECD guidelines on responsible sourcing, which it has mentioned in past Impact Reports.
While Tesla leads comfortably in climate and environmental performance, it scores 48 percent in human rights and responsible sourcing, slightly behind Ford’s 49 percent.
The company made notable gains in workers’ rights remedies, but has room to improve on issues like Indigenous Peoples’ rights.
Overall, the leaderboard highlights that a core group of leaders, Tesla, Ford, Volvo, Mercedes, and Volkswagen, are advancing twice as fast as their peers, proving that cleaner, more ethical EV supply chains are not just possible but already underway.
For Tesla detractors who claim EVs aren’t truly green or that the company cuts corners, this recognition from sustainability-focused NGOs delivers a powerful rebuttal.
Tesla’s vertical integration, direct supplier contracts, low-carbon material agreements (like its North American aluminum deal with emissions under 2kg CO₂e per kg), and raw materials reporting continue to set the industry standard.
As the world races toward electrification, Tesla isn’t just building cars; it’s building a more responsible future.


