The release notes for Tesla FSD Beta V11.3 have been shared online. Observers from the electric vehicle community suggest that Tesla Full Self-Driving Beta 11.3 is rolling out to the company’s employee FSD Beta testers, at least for now.
The following are Tesla’s FSD Beta V11.3 release notes:
- 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.
- Added voice drive-notes. After an intervention, you can now send Tesla an anonymous voice message describing your experience to help improve Autopilot.
- Expanded Automatic Emergency Braking (AEB) to handle vehicles that cross ego’s path. This includes cases where other vehicles run their red light or turn across ego’s path, stealing the right-of-way.
- Replay of previous collisions of this type suggests that 49% of the events would be mitigated by the new behavior. This improvement is now active in both manual driving and autopilot operation.
- Improved autopilot reaction time to red light runners and stop sign runners by 500ms, by increased reliance on object’s instantaneous kinematics along with trajectory estimates.
- Added a long-range highway lanes network to enable earlier response to blocked lanes and high curvature.
- Reduced goal pose prediction error for candidate trajectory neural network by 40% and reduced runtime by 3X. This was achieved by improving the dataset using heavier and more robust offline optimization, increasing the size of this improved dataset by 4X, and implementing a better architecture and feature space.
- Improved occupancy network detections by oversampling on 180K challenging videos including rain reflections, road debris, and high curvature.
- Improved recall for close-by cut-in cases by 20% by adding 40k autolabeled fleet clips of this scenario to the dataset. Also improved handling of cut-in cases by improved modeling of their motion into ego’s lane, leveraging the same for smoother lateral and longitudinal control for cut-in objects.
- Added “lane guidance module and perceptual loss to the Road Edges and Lines network, improving the absolute recall of lines by 6% and the absolute recall of road edges by 7%.
- Improved overall geometry and stability of lane predictions by updating the “lane guidance” module representation with information relevant to predicting crossing and oncoming lanes.
- Improved handling through high speed and high curvature scenarios by offsetting towards inner lane lines.
- Improved lane changes, including: earlier detection and handling for simultaneous lane changes, better gap selection when approaching deadlines, better integration between speed-based and nav-based lane change decisions and more differentiation between the FSD driving profiles with respect to speed lane changes.
- Improved longitudinal control response smoothness when following lead vehicles by better modeling the possible effect of lead vehicles’ brake lights on their future speed profiles.
- Improved detection of rare objects by 18% and reduced the depth error to large trucks by 9%, primarily from migrating to more densely supervised autolabeled datasets.
- Improved semantic detections for school busses by 12% and vehicles transitioning from stationary-to-driving by 15%. This was achieved by improving dataset label accuracy and increasing dataset size by 5%.
- Improved decision making at crosswalks by leveraging neural network based ego trajectory estimation in place of approximated kinematic models.
- Improved reliability and smoothness of merge control, by deprecating legacy merge region tasks in favor of merge topologies derived from vector lanes.
- Unlocked longer fleet telemetry clips (by up to 26%) by balancing compressed IPC buffers and optimized write scheduling across twin SOCs.
Here are the V11.3 release notes again if you haven't seen them. Very happy to see improvements in rain reflections as that was rare, but could give some insane errors #FSDBeta @elonmusk pic.twitter.com/ZIOcIhmUMd
— Dirty Tesla (@DirtyTesLa) February 20, 2023
Several longtime FSD Beta testers have pointed out some key improvements that would likely be very appreciated by users in V11.3. These include the systems’ improved handling through high speed and high curvature scenarios, as well as improvements to Automatic Emergency Braking (AEB). With the improvements in place, FSD Beta V11.3 would behave closer to a proper human driver.
Comments from longtime Tesla FSD Beta testers also suggest that V11.3 is still only being released for company employees for now. Considering Tesla’s past updates, it would not be surprising if the greater FSD Beta fleet gets the V11.3 update in the coming week or so. This is, of course, unless V11.3 ends up going the way of FSD Beta V11, which was released to employees in November but not to the greater fleet of FSD Beta testers.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
Elon Musk
Elon Musk’s xAI gains first access to Saudi supercluster with 600k Nvidia GPUs
The facility will deploy roughly 600,000 Nvidia GPUs, making it one of the world’s most notable superclusters.
A Saudi-backed developer is moving forward with one of the world’s largest AI data centers, and Elon Musk’s xAI will be its first customer. The project, unveiled at the U.S.–Saudi Investment Forum in Washington, D.C., is being built by Humain, a company supported by Saudi Arabia’s Public Investment Fund.
The facility will deploy roughly 600,000 Nvidia GPUs, making it one of the world’s most notable superclusters.
xAI secures priority access
Nvidia CEO Jensen Huang stated that the planned data center marks a major leap not just for the region but for the global AI ecosystem as a whole. Huang joked about the sheer capacity of the build, emphasizing how unusual it is for a startup to receive infrastructure of such magnitude. The facility is designed to deliver 500 megawatts of Nvidia GPU power, placing it among the world’s largest AI-focused installations, as noted in a Benzinga report.
“We worked together to get this company started and off the ground and just got an incredible customer with Elon. Could you imagine a startup company, approximately $0 billion in revenues, now going to build a data center for Elon? 500 megawatts is gigantic. This company is off the charts right away,” Huang said.
Global Chipmakers Join Multi-Vendor Buildout To Enhance Compute Diversity
While Nvidia GPUs serve as the backbone of the first phase, Humain is preparing a diversified hardware stack. AMD will supply its Instinct MI450 accelerators, which could draw up to 1 gigawatt of power by 2030 as deployments ramp. Qualcomm will also contribute AI200 and AI250 data center processors, accounting for an additional 200 megawatts of compute capacity. Cisco will support the networking and infrastructure layer, helping knit the multi-chip architecture together.
Apart from confirming that xAI will be the upcoming supercluster’s first customer, Musk also joked about the rapid scaling needed to train increasingly large AI models. He joked that a theoretical expansion one thousand times larger of the upcoming supercluster “would be 8 bazillion, trillion dollars,” highlighting the playful exaggeration he often brings to discussions around extreme compute demand.
Elon Musk
Elon Musk debunks pay package and lip reader claims in double takedown
Musk’s quick debunks highlighted once more that X is an ideal platform for directly countering misinformation.
Elon Musk recently took to X to debunk some misinformation about his 2025 CEO performance award, as well as some comments he made during Donald Trump’s banquet in honor of Saudi Prince Mohammed bin Salman.
Musk’s quick debunks highlighted once more that X is an ideal platform for directly countering misinformation.
Musk’s pay package
Elon Musk’s 2025 CEO performance award was created as a path for him to gain a 25% stake in Tesla. It would also make him a trillionaire, provided that he manages to meet all of the performance award’s aggressive targets. This has not stopped critics from running with the apparent narrative that Musk will be getting the $1 trillion with utmost certainty, however.
This included the More Perfect Union account on X, which noted that “Elon Musk is set to make more than every U.S. elementary school teacher combined, according to the Washington Post.”
Musk responded to the pro-union amount’s post, highlighting that he has not earned any of his $2025 performance award so far. Musk also noted that those who believe he will be getting $1 trillion should invest in TSLA stock, as his compensation is tied to the company’s performance and growth. Investors who hold their TSLA until Musk achieves his full pay package would likely get notable returns.
Lip reader fail
Musk also debunked claims from the Daily Mail, which claimed that he made an “explosive” remark at Trump’s banquet for Saudi Prince Mohammed bin Salman. Citing observations from lip reader Nicola Hickling, the Mail claimed that Musk asked Pfizer CEO Albert Bourla, “What is your opinion, is he a terrorist?” The publication also posted a video of Musk allegedly making the risqué comment on X.
Musk proceeded to correct the publication, stating that the lip reader’s observations were fake. Instead of asking the Pfizer CEO if the Saudi Prince was a terrorist, Musk noted that he was asking the executive about cancer medicine. “False, I was asking about upcoming cancer drugs,” Musk wrote in a response on X.
Musk’s comments resulted in numerous critical responses to the Mail’s video, with some X users joking that the lip reader who analyzed the clip should probably get a visual acuity test, or a better training course on lip reading at least.
News
Tesla Diner to transition to full-service restaurant as Chef heads for new venture
“I am leaving the Tesla Diner project to focus on the opening of Mish, my long-desired Jewish deli. Projects like Mish and the Tesla Diner require a sharpness of focus and attention, and my focus and attention is now squarely on Mish.”
Tesla Diner, the all-in-one Supercharging and dining experience located in Los Angeles, will transition to a full-service restaurant in January, staff said, as Chef Eric Greenspan said he would take on a new project.
A report from the Los Angeles Times says Greenspan confirmed through a text that he would leave the Diner and focus on the opening of his new Jewish deli, Mish.
Greenspan confirmed to the paper:
“I am leaving the Tesla Diner project to focus on the opening of Mish, my long-desired Jewish deli. Projects like Mish and the Tesla Diner require a sharpness of focus and attention, and my focus and attention is now squarely on Mish.”
Greenspan took on the job at the Tesla Diner and curated the menu back in March, focusing on locally-sourced ingredients and items that would play on various company products, like Cybertruck-shaped boxes that hold burgers.
Tesla Cybertruck leftovers are the main course at the Supercharger Diner
The Tesla Diner has operated as somewhat of a self-serve establishment, where Tesla owners can order directly from their vehicles through the center touchscreen. It was not exclusive to Tesla owners. Guests could also enter and order at a counter, and pick up their food, before sitting at a booth or table.
However, the report indicates Tesla is planning to push it toward a sit-down restaurant, full of waiters, waitresses, and servers, all of which will come to a table after you are seated, take your order, and serve your food.
It will be more of a full-featured restaurant experience moving forward, which is an interesting move from the company, but it also sounds as if it could be testing for an expansion.
We know that Tesla is already considering expanding locations, as it will be heading to new areas of the country. CEO Elon Musk has said that Tesla will be considering locations in Palo Alto near the company’s Engineering HQ, and in Austin, where its HQ and Gigafactory Texas are located.
Musk said that the Diner has been very successful in its first few months of operation.
Elon Musk’s xAI gains first access to Saudi supercluster with 600k Nvidia GPUs
Elon Musk debunks pay package and lip reader claims in double takedown
