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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Tesla is pushing back against the unfair reporting of accidents involving its vehicles. Many media outlets were quick to jump to conclusions about a fatal accident involving a Tesla in Katy, Texas, that happened recently.
The driver of the vehicle, which slammed into a brick house and killed a woman inside, stated the car was operating on Autopilot. Tesla CEO Elon Musk and Head of AI Ashok Elluswamy both challenged that claim, with Elluswamy revealing last night that the system was overridden by the driver, who pressed the accelerator pedal “all the way to 100%.”
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
The car reached a speed of 73 MPH during the crash, Elluswamy detailed, and stated that the accelerator pedal was even pressed after the crash.
The story has been spread throughout the media with either incomplete or incorrect reporting, with some stories still not updated nearly 24 hours after Musk and Elluswamy posted answers about the crash on X.
The reporting has been a thorn in the side of Tesla for several years. Vehicle accidents involving Teslas are usually reported with the manufacturer’s name in the headline, while other companies are free of criticism when their cars are involved in accidents.
Here’s an example of that:
So you don’t report the vehicle’s make when it isn’t a Tesla, but you do report it when it is a Tesla?
The vehicle in your post above is a Hyundai Ioniq 5 EV. pic.twitter.com/4WT3sZ2DHm
— Sawyer Merritt (@SawyerMerritt) February 17, 2026
Many media outlets stated the car was in “self-driving mode” or “Autopilot mode” when the car crashed. The truth is, now that Tesla has chimed in, that the driver had manually overriden the system by pressing the accelerator. Elluswamy commented on the unfair reporting:
“This blatantly irresponsible reporting does more harm to people than they realize.
Using Tesla self-driving is far safer than manual driving, and this was measured over 10B miles.
Planting such FUD in the minds of general public, who might not know the all the facts, might prevent them from using this technology that makes them safer.”
This blatantly irresponsible reporting does more harm to people than they realize.
Using Tesla self-driving is far safer than manual driving, and this was measured over 10B miles.
Planting such FUD in the minds of general public, who might not know the all the facts, might…
— Ashok Elluswamy (@aelluswamy) June 22, 2026
The damage these headlines do to Tesla and the self-driving car movement is unexplainable. Most people do not realize the safeguards that are in place with Tesla’s self-driving functions; many people who have used it know the car would never travel at that speed in a residential area, not even on the most aggressive “Mad Max” setting.
It is important to remember that Tesla Full Self-Driving is not autonomous, and the company never claimed it was. Drivers are still responsible for paying attention and remaining vigilant. They must be able to take over at all times.
Tesla Supercharging is getting yet another layer of gamification, as the company is rolling out a new competition that could win Free Supercharging miles.
Tesla is ramping up its efforts to make vehicle ownership more engaging through gamification. In June 2026, the company announced the 2026 Free Supercharging Competition, building on the Charging Passport feature introduced the previous year. This initiative turns Supercharging into a competitive, collectible adventure while offering substantial real-world incentives.
🚨 Tesla is taking its gamification of Supercharging a step further with the launch of the 2026 Free Supercharging Contest:
“In January 2027, Tesla will celebrate nine outstanding Supercharger users from 2026 by awarding them free Supercharging for their Tesla vehicle for as… pic.twitter.com/CPPYJLJwFD
— TESLARATI (@Teslarati) June 23, 2026
The Charging Passport, rolled out late last year, functions like a digital travel log or a year-in-review for Tesla owners. These types of things are used by many platforms, including Spotify and Apple Music, which show listeners what type of taste they had for the year.
Accessed in the Tesla App under the ‘Charging’ section, it displays a map of visited Superchargers, key stats, such as total energy charged (kWh), number of unique sites, total charging sessions, top charging day, and miles added. Owners earn collectible Charging Badges in categories, which include:
- Charging Milestones – for total energy, consecutive weeks of Supercharging, or unique sites visited
- Iconic Chargers – for Flagship Locations or stations near famous landmarks
- Special Events – limited-time badges for specific experiences. These badges appear within 24 hours of qualifying activity and provide a fun, shareable recap of an owner’s Supercharging journeys. Milestone progress resets annually, allowing fresh challenges each year
The 2026 contest elevates this gamification by rewarding top performers with lifetime free Supercharging. All Supercharging sessions from January 1 to December 31, 2026, count toward the competition. To participate, owners must enable “Share Charging Data with Tesla App” in vehicle settings and open the 2026 Charging Passport in the app at least once before January 1, 2027.
Nine winners will be selected — three per region (Americas, Asia-Pacific, and EMEA, with some countries excluded for regulatory reasons) — one in each of three categories:
- Longest Trip: Longest continuous streak of unique Supercharger locations where each new site is visited within 24 hours of the previous session’s start time
- Most Unique Supercharger Sites Visited: Highest number of distinct locations
- Most Energy Supercharged: Highest total in kWh charged at Superchargers
A unique site is defined as shown in the Tesla app or vehicle navigation. Repeat visits during a streak are allowed but do not extend the count. Ties are broken by total energy charged. Ineligible participants include vehicles already receiving free Supercharging, commercial-use vehicles (taxi, rideshare, delivery), Tesla employees and their immediate families, and residents of certain excluded countries.
Winners receive free Supercharging on the winning vehicle for as long as they own or lease it.
This contest is part of Tesla’s broader gamification strategy. The Safety Score has long rewarded safe driving habits with a numerical rating that can influence insurance rates or feature access. The referral program incentivizes owners with credits or free Supercharging months for successful referrals.
In-app statistics, streaks, and community features further encourage engagement. Older third-party apps even awarded “mayor” titles for frequenting specific Superchargers.
By combining digital badges, competitive leaderboards, and high-value rewards, Tesla boosts network utilization, gathers usage data, and fosters deeper owner loyalty. The 2026 Free Supercharging Competition invites enthusiasts to plan epic road trips while turning everyday charging into a rewarding pursuit. With the Passport already proving popular, expect heightened activity across the Supercharger network throughout the year.
Tesla is atop the American-Made Index from Cars.com for the sixth-straight year, as the Model 3 and Model Y took the top two spots, respectively.
Last year, the Model 3, Model Y, Model S, and Model X took the top four spots, respectively. The company has routinely performed well in the Index. However, Tesla discontinued its flagship Model S and Model X earlier this year, which took the two cars out of the ranking.
Cybertruck is not considered due to its curb weight being above the 8,500-pound threshold, which eliminates it from being required to have more detailed assembly information.
Cars.com uses five main categories to develop its rankings:
- Location(s) of final assembly
- Percentage of U.S. and Canadian parts
- Countries of origin for all available engines
- Countries of origin for all available transmissions
- U.S. manufacturing workforce
These five major factors are then put into a 100-point scale. The vehicles with the highest scores sit atop the list. The Model 3 edged out the Model Y.
🇺🇸 The Tesla Model 3 and Tesla Model Y have been put atop the American-Made Index from https://t.co/PXZ0g1pPb6, meaning they are the most American vehicles you can possibly buy.
This is the SIXTH-STRAIGHT year a Tesla has been listed as the most American-made vehicle: pic.twitter.com/HyraOmaxSL
— TESLARATI (@Teslarati) June 23, 2026
Tesla uses a strong domestic strategy to build its cars and parts domestically. It relies on intense vertical integration that reduces its dependence on global suppliers, keeping more value and jobs in the United States.
This strategy has helped Tesla gain a strong reputation for domestically produced vehicles and parts. However, it helps it with more than just awards like this one. Keeping a supply chain local has also helped insulate Tesla more than others from tariffs and supply chain disruptions.
This year’s American-Made Index from Cars.com studied nearly 400 vehicles from the 2026 model year. Tesla was the only manufacturer to have an EV inside the Top 10. The Kia EV9 was the next EV to make the list, scoring the 17th position.
The Hyundai IONIQ 5 was 21st, and the final EV to make the list was the Cadillac LYRIQ in 77th.
Tesla pushes back against unfair reporting of accidents
Tesla gets another layer of gamification with Free Supercharging on the line
