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.
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Elon Musk
SpaceX weighs Nasdaq listing as company explores early index entry: report
The company is reportedly seeking early inclusion in the Nasdaq-100 index.
Elon Musk’s SpaceX is reportedly leaning toward listing its shares on the Nasdaq for a potential initial public offering (IPO) that could become the largest in history.
As per a recent report, the company is reportedly seeking early inclusion in the Nasdaq-100 index. The update was reported by Reuters, citing people familiar with the matter.
According to the publication, SpaceX is considering Nasdaq as the venue for its eventual IPO, though the New York Stock Exchange is also competing for the listing. Neither exchange has reportedly been informed of a final decision.
Reuters has previously reported that SpaceX could pursue an IPO as early as June, though the company’s plans could still change.
One of the publication’s sources also suggested that SpaceX is targeting a valuation of about $1.75 trillion for its IPO. At that level, the company would rank among the largest publicly traded firms in the United States by market capitalization.
Nasdaq has proposed a rule change that could accelerate the inclusion of newly listed megacap companies into the Nasdaq-100 index.
Under the proposed “Fast Entry” rule, a newly listed company could qualify for the index in less than a month if its market capitalization ranks among the top 40 companies already included in the Nasdaq-100.
If SpaceX is successful in achieving its target valuation of $1.75 trillion, it would become the sixth-largest company by market value in the United States, at least based on recent share prices.
Newly listed companies typically have to wait up to a year before becoming eligible for major indexes such as the Nasdaq-100 or S&P 500.
Inclusion in a major index can significantly broaden a company’s shareholder base because many institutional investors purchase shares through index-tracking funds.
According to Reuters, Nasdaq’s proposed fast-track rule is partly intended to attract highly valued private companies such as SpaceX, OpenAI, and Anthropic to list on the exchange.
Elon Musk
The Boring Company’s Prufrock-2 emerges after completing new Vegas Loop tunnel
The new tunnel measures 2.28 miles, making it the company’s longest single Vegas Loop tunnel to date.
The Boring Company announced that its Prufrock-2 tunnel boring machine (TBM) has completed another Vegas Loop tunnel in Las Vegas. The company shared the update in a post on social media platform X.
According to The Boring Company’s post, the new tunnel measures 2.28 miles, making it the company’s longest single Vegas Loop tunnel to date.
The new tunnel marks the fourth tunnel constructed near Westgate Las Vegas as the Vegas Loop network continues expanding across the city.
The Boring Company also noted that the new tunnel surpassed its previous internal record of 2.26 miles for a single Vegas Loop segment.
Construction of the tunnel involved moving roughly 68,000 cubic yards of dirt. The excavation process also used about 4.8 miles of continuous conveyor belt, powered by six motors totaling 825 horsepower.
The Boring Company’s Prufrock-series all-electric tunnel boring machines are designed to support the rapid expansion of company’s underground transportation projects, including the growing Vegas Loop network. Prufrock machines are designed for reusability, thanks in no small part to their capability to be deployed and retrieved easily through their “porposing” feature.
The Vegas Loop, specifically the Las Vegas Convention Center (LVCC) Loop segment, has already been used during major events. Most recently, the LVCC Loop supported the 2026 CONEXPO-CON/AGG construction trade show, which was held from March 3-7, 2026.
As per The Boring Company, the LVCC Loop transported roughly 82,000 passengers across the convention center campus during the event’s duration.
CONEXPO-CON/AGG is one of the largest construction trade shows in North America, drawing more than 140,000 construction professionals from 128 countries this year.
The LVCC Loop forms the initial segment of the broader Vegas Loop network, which remains under active development as The Boring Company continues building new tunnels throughout the city.
News
Tesla gathers Cybercab fleet in Gigafactory Texas
Images and video of the Cybercab fleet were shared by longtime Giga Texas observer Joe Tegtmeyer in posts on social media platform X.
Tesla appears to be assembling a growing number of Cybercabs at Gigafactory Texas as preparations continue for the vehicle’s mass production. Recent footage shared online has shown over 30 Cybercabs being transported by trucks or staged near testing areas at the facility.
The images and video were shared by longtime Giga Texas observer and drone operator Joe Tegtmeyer in posts on social media platform X.
Interestingly enough, Tegtmeyer noted that many of the Cybercabs being loaded onto transport trucks were still equipped with steering wheels. This suggests that the vehicles are likely testing units rather than the final driverless configuration expected for the company’s Robotaxi service.
The vehicles could potentially be headed to testing sites across the United States as Tesla prepares to expand its Robotaxi fleet.
Additional footage captured at Gigafactory Texas also showed the Cybercab’s side and rear camera washer system operating as vehicles were being loaded onto transport trucks.
The growing number of Cybercabs at Giga Texas comes amidst the company’s announcement that the first production Cybercab has been produced at the facility. Full Cybercab production is expected to begin in April.
The vehicle is expected to play a central role in Tesla’s Robotaxi ambitions as the company looks to expand autonomous ride-hailing operations beyond its early deployments using Model Y vehicles.
Tesla has also linked Cybercab production to its proposed Unboxed manufacturing process, which assembles large vehicle modules separately before integrating them. The approach is intended to reduce production costs and accelerate output.
Musk has also noted that the Cybercab’s ramp will likely begin slowly due to the number of new components and manufacturing steps involved. However, he stated that once the process matures, Cybercab production could scale quickly.
SpaceX weighs Nasdaq listing as company explores early index entry: report
The Boring Company’s Prufrock-2 emerges after completing new Vegas Loop tunnel
