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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Xiaomi CEO congratulates Tesla on first FSD delivery: “We have to continue learning!”
Xiaomi has become one of Tesla’s strongest rivals in China.

Just days after unveiling the Xiaomi YU7, a vehicle that is considered as the Model Y’s strongest competitor yet, Xiaomi CEO Lei Jun gave a nod of respect to Tesla and its Full Self-Driving (FSD) program.
In a post on Weibo, Lei Jun highlighted the remarkable nature of Tesla’s first autonomous delivery. He also acknowledged that Xiaomi still has much to learn in the electric vehicle industry.
Xiaomi CEO’s Nod of Respect
Lei Jun’s comments about Tesla’s FSD delivery were shared as a response to Tesla VP Grace Tao’s post about the recent feat. The Tesla VP shared several key aspects of the delivery, from the fact that there was no driver in the Model Y to the vehicle reaching over 70 mph as it drove to its owner.
“For the first time in history, the vehicle was delivered to the owner by itself. There was no driver or remote control throughout the journey, and the maximum speed reached 115 kilometers per hour, and it arrived safely at the customer’s door. This is a brand new Model Y. Tesla always surpasses imagination with disruptive innovation. A new era, exciting!” Tao wrote in her post.
In his response, the Xiaomi CEO acknowledged Tesla’s incredible feat. “Tesla is indeed amazing, leading the industry trends in many areas, especially FSD. We still have to continue learning!” he wrote.


Xiaomi’s Recent Tesla Competitor
The Xiaomi CEO’s comments show that Tesla’s projects and leadership garner a lot of respect in the global electric vehicle sector. While Tesla and Elon Musk tend to be media punching bags in the United States and Europe, the company and its CEO seem to be taken very seriously in China. This was despite China being the world’s most competitive electric vehicle market.
Xiaomi itself has become one of Tesla’s strongest rivals in China, with its first car, the SU7, bringing the fight to the Tesla Model 3. Its most recent vehicle, the YU7, could very well be the Model Y’s most legitimate rival yet, as it is more affordable, bigger, and more feature-laden than Tesla’s best-selling crossover. The YU7 has garnered quite a lot of attention, with Xiaomi receiving 200,000 firm orders for the vehicle within the first three minutes of its launch.
News
Tesla silences FSD critics by posting full video of Model Y delivering itself to customer
When Elon Musk posted that the first Tesla had delivered itself to its owner, critics were quick to question his statement.

It is no secret that Tesla still has ardent critics today, many of whom remain convinced that the company and its leadership are lying about Full Self-Driving (FSD) and its capabilities. It was then no surprise that when Elon Musk announced that the first Tesla had successfully delivered itself to its owner, critics were quick to question the CEO’s statement.
Videos of the all-electric crossover’s solo drive to its owner soon silenced Tesla critics and their claims.
Tesla Posts FSD Video Proof—Twice
While Musk’s post on X about a Tesla delivering itself to a consumer was a notable update, his claims were not accompanied by any video. This was taken by some Tesla critics as a hint that the CEO’s claims were false, and that the feat probably did not happen. Musk, for his part, noted that Tesla would soon be posting a video of the self-driving car’s drive to its owner.
The electric vehicle community did not have to wait very long. Tesla later posted a video of its first autonomous vehicle delivery ever on X, much to the shock of social media users. As could be seen in the video, a Tesla Model Y was able to travel about 30 minutes on its own, from the end of Giga Texas’ production line to the home of its owner, several miles away. Tesla even posted the vehicle’s full 30-minute drive on its official X account later on.
Critics Are Still Skeptical, But It’s Cope at this Point
Of course, Tesla skeptics remained unconvinced that the feat was legitimate, with some pointing out that the Model Y customer seems to have had an X account for years but never posted, at least until his car was delivered. Others also claimed that the whole setup seemed suspicious since the Model Y looked like it had manufacturer plates as it navigated Austin’s streets.
These concerns, however, do not seem like very strong arguments, especially at this point. Based on the evidence, it seems like Tesla really has figured out autonomous driving, and its cars are now able to operate safely on real-world roads on their own. Many have also become silent in their criticisms of Tesla’s FSD feat, especially after the company posted the full video of the Model Y’s autonomous drive. Overall, Tesla critics may remain doubtful about the company and Musk’s claims, but these concerns seem to have become forced at best.
News
Ford CEO favors Waymo’s LiDAR approach over Tesla’s vision-only self-driving
Farley stated that Waymo’s LiDAR-based approach made “more sense.”

Ford CEO Jim Farley shared some skepticism about Tesla’s camera-only approach to self-driving during a recent appearance at the Aspen Ideas Festival. When asked to compare Waymo and Tesla’s autonomous driving systems, Farley stated that Waymo’s LiDAR-based approach made “more sense,” citing safety, consumer trust, and the limitations of camera-based models.
Waymo’s LiDAR vs. Tesla’s Vision-Only Approach
Farley was speaking with author Walter Isaacson when he made his comments about Tesla and Waymo’s self-driving systems. As they were conversing about autonomous cars, Isaacson asked Farley which approach to self-driving he preferred.
“To us, Waymo,” Farley said, though he also stated that both Tesla and Waymo have “ made a lot of of progress” on self-driving, as noted in a Fortune report. He also confirmed that he has had conversations about the matter with Tesla CEO Elon Musk. Despite this, he said that Ford still considers LiDAR as a pivotal part of autonomous driving.
“When you have a brand like Ford, when there’s a new technology, you have to be really careful. We really believe that LiDAR is mission critical… Where the camera will be completely blinded, the LiDAR system will see exactly what’s in front of you,” the Ford CEO stated.
Tesla and Ford’s self-driving plans
Tesla recently launched a limited Robotaxi service in Austin, which uses autonomous cars with safety monitors in the front passenger seat. While controversial, Musk has maintained that Tesla’s vision-only approach will ultimately prove safer and more cost-effective in the long term. Tesla seems to be making headway towards this goal, with Musk stating recently that the first Model Y has been delivered autonomously to a customer in Austin.
Ford, for his part, is not pursuing its own fully autonomous, urban-driving system anymore. Instead, the company is focusing on “high-speed, eyes-off” experiences like BlueCruise. Ford does plan to partner with a company that has achieved true autonomous driving in the future, as soon as the technology is available.
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