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Tesla FSD Beta V11.3 starts shipping to employees (Release Notes)

Credit: Drive in EV/Twitter

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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.

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. 

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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.

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Ford cancels all-electric F-150 Lightning, announces $19.5 billion in charges

“Rather than spending billions more on large EVs that now have no path to profitability, we are allocating that money into higher returning areas, more trucks and van hybrids, extended range electric vehicles, affordable EVs, and entirely new opportunities like energy storage.”

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Credit: Ford Motor Co.

Ford is canceling the all-electric F-150 Lightning and also announced it would take a $19.5 billion charge as it aims to quickly restructure its strategy regarding electrification efforts, a massive blow for the Detroit-based company that was once one of the most gung-ho on transitioning to EVs.

The announcement comes as the writing on the wall seemed to get bolder and more identifiable. Ford was bleeding money in EVs and, although it had a lot of success with the all-electric Lightning, it is aiming to push its efforts elsewhere.

It will also restructure its entire strategy on EVs, and the Lightning is not the only vehicle getting the boot. The T3 pickup, a long-awaited vehicle that was developed in part of a skunkworks program, is also no longer in the company’s plans.

Instead of continuing on with its large EVs, it will now shift its focus to hybrids and “extended-range EVs,” which will have an onboard gasoline engine to increase traveling distance, according to the Wall Street Journal.

“Ford no longer plans to produce select larger electric vehicles where the business case has eroded due to lower-than-expected demand, high costs, and regulatory changes,” the company said in a statement.

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While unfortunate, especially because the Lightning was a fantastic electric truck, Ford is ultimately a business, and a business needs to make money.

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Ford has lost $13 billion on its EV business since 2023, and company executives are more than aware that they gave it plenty of time to flourish.

Andrew Frick, President of Ford, said:

“Rather than spending billions more on large EVs that now have no path to profitability, we are allocating that money into higher returning areas, more trucks and van hybrids, extended range electric vehicles, affordable EVs, and entirely new opportunities like energy storage.”

CEO Jim Farley also commented on the decision:

“Instead of plowing billions into the future knowing these large EVs will never make money, we are pivoting.”

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Farley also said that the company now knows enough about the U.S. market “where we have a lot more certainty in this second inning.”

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SpaceX shades airline for seeking contract with Amazon’s Starlink rival

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Credit: Richard Angle

SpaceX employees, including its CEO Elon Musk, shaded American Airlines on social media this past weekend due to the company’s reported talks with Amazon’s Starlink rival, Leo.

Starlink has been adopted by several airlines, including United Airlines, Qatar Airways, Hawaiian Airlines, WestJet, Air France, airBaltic, and others. It has gained notoriety as an extremely solid, dependable, and reliable option for airline travel, as traditional options frequently cause users to lose connection to the internet.

Many airlines have made the switch, while others continue to mull the options available to them. American Airlines is one of them.

A report from Bloomberg indicates the airline is thinking of going with a Starlink rival owned by Amazon, called Leo. It was previously referred to as Project Kuiper.

American CEO Robert Isom said (via Bloomberg):

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“While there’s Starlink, there are other low-Earth-orbit satellite opportunities that we can look at. We’re making sure that American is going to have what our customers need.”

Isom also said American has been in touch with Amazon about installing Leo on its aircraft, but he would not reveal the status of any discussions with the company.

The report caught the attention of Michael Nicolls, the Vice President of Starlink Engineering at SpaceX, who said:

“Only fly on airlines with good connectivity… and only one source of good connectivity at the moment…”

CEO Elon Musk replied to Nicolls by stating that American Airlines risks losing “a lot of customers if their connectivity solution fails.”

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There are over 8,000 Starlink satellites in orbit currently, offering internet coverage in over 150 countries and territories globally. SpaceX expands its array of satellites nearly every week with launches from California and Florida, aiming to offer internet access to everyone across the globe.

SpaceX successfully launches 100th Starlink mission of 2025

Currently, the company is focusing on expanding into new markets, such as Africa and Asia.

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Tesla Model Y Standard stuns in new range test, besting its Premium siblings

Tesla’s newer vehicles have continued to meet or exceed their EPA estimates. This is a drastic change, as every 2018-2023 model year Tesla that Edmunds assessed did not meet its range estimates.

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Credit: Tesla

The Tesla Model Y Standard stunned in a new range test performed by automotive media outlet Edmunds, besting all of its Premium siblings that are more expensive and more luxurious in terms of features.

Testing showed the Model Y Standard exceeded its EPA-estimated range rating of 321 miles, as Edmunds said it is the “longest-range Model Y that we’ve ever put on our loop.” In the past, some vehicles have come up short in comparison with EPA ranges; for example, the Model Y’s previous generation vehicle had an EPA-estimated range of 330 miles, but only drove 310.

Additionally, the Launch Series Model Y, the first configuration to be built in the “Juniper” program, landed perfectly on the EPA’s range estimates at 327 miles.

It was also more efficient than Premium offerings, as it utilized just 22.8 kWh to go 100 miles. The Launch Series used 26.8 kWh to travel the same distance.

It is tested using Edmunds’ traditional EV range testing procedure, which follows a strict route of 60 percent city and 40 percent highway driving. The average speed throughout the trip is 40 MPH, and the car is required to stay within 5 MPH of all posted speed limits.

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Each car is also put in its most efficient drive setting, and the climate is kept on auto at 72 degrees.

“All of this most accurately represents the real-world driving that owners do day to day,” the publication says.

With this procedure, testing is as consistent as it can get. Of course, there are other factors, like temperature and traffic density. However, one thing is important to note: Tesla’s newer vehicles have continued to meet or exceed their EPA estimates. This is a drastic change, as every 2018-2023 model year Tesla that Edmunds assessed did not meet its range estimates.

Tesla Model Y Standard vs. Tesla Model Y Premium

Tesla’s two Model Y levels both offer a great option for whichever fits your budget. However, when you sit in both cars, you will notice distinct differences between them.

The Premium definitely has a more luxurious feel, while the Standard is stripped of many of the more premium features, like Vegan Leather Interior, acoustic-lined glass, and a better sound system.

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You can read our full review of the Model Y Standard below:

Tesla Model Y Standard Full Review: Is it worth the lower price?

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