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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Tesla adds a new feature to Navigation in preparation for a new vehicle
After CEO Elon Musk announced earlier this week that the Semi’s mass production processes were scheduled for later this year, the company has been making various preparations as it nears manufacturing.
Tesla has added a new feature to its Navigation and Supercharger Map in preparation for a new vehicle to hit the road: the Semi.
After CEO Elon Musk announced earlier this week that the Semi’s mass production processes were scheduled for later this year, the company has been making various preparations as it nears manufacturing.
Elon Musk confirms Tesla Semi will enter high-volume production this year
One of those changes has been the newly-released information regarding trim levels, as well as reports that Tesla has started to reach out to customers regarding pricing information for those trims.
Now, Tesla has made an additional bit of information available to the public in the form of locations of Megachargers, the infrastructure that will be responsible for charging the Semi and other all-electric Class 8 vehicles that hit the road.
Tesla made the announcement on the social media platform X:
We put Semi Megachargers on the map
→ https://t.co/Jb6p7OPXMi pic.twitter.com/stwYwtDVSB
— Tesla Semi (@tesla_semi) February 10, 2026
Although it is a minor development, it is a major indication that Tesla is preparing for the Semi to head toward mass production, something the company has been hinting at for several years.
Nevertheless, this, along with the other information that was released this week, points toward a significant stride in Tesla’s progress in the Semi project.
Now that the company has also worked toward completion of the dedicated manufacturing plant in Sparks, Nevada, there are more signs than ever that the vehicle is finally ready to be built and delivered to customers outside of the pilot program that has been in operation for several years.
For now, the Megachargers are going to be situated on the West Coast, with a heavy emphasis on routes like I-5 and I-10. This strategy prioritizes major highways and logistics hubs where freight traffic is heaviest, ensuring coverage for both cross-country and regional hauls.
California and Texas are slated to have the most initially, with 17 and 19 sites, respectively. As the program continues to grow, Florida, Georgia, Illinois, Washington, New York, and Nevada will have Megacharger locations as well.
For now, the Megachargers are available in Lathrop, California, and Sparks, Nevada, both of which have ties to Tesla. The former is the location of the Megafactory, and Sparks is where both the Tesla Gigafactory and Semifactory are located.
Elon Musk
Tesla stock gets latest synopsis from Jim Cramer: ‘It’s actually a robotics company’
“Turns out it’s actually a robotics and Cybercab company, and I want to buy, buy, buy. Yes, Tesla’s the paper that turned into scissors in one session,” Cramer said.
Tesla stock (NASDAQ: TSLA) got its latest synopsis from Wall Street analyst Jim Cramer, who finally realized something that many fans of the company have known all along: it’s not a car company. Instead, it’s a robotics company.
In a recent note that was released after Tesla reported Earnings in late January, Cramer seemed to recognize that the underwhelming financials and overall performance of the automotive division were not representative of the current state of affairs.
Instead, we’re seeing a company transition itself away from its early identity, essentially evolving like a caterpillar into a butterfly.
The narrative of the Earnings Call was simple: We’re not a car company, at least not from a birds-eye view. We’re an AI and Robotics company, and we are transitioning to this quicker than most people realize.
Tesla stock gets another analysis from Jim Cramer, and investors will like it
Tesla’s Q4 Earnings Call featured plenty of analysis from CEO Elon Musk and others, and some of the more minor details of the call were even indicative of a company that is moving toward AI instead of its cars. For example, the Model S and Model X will be no more after Q2, as Musk said that they serve relatively no purpose for the future.
Instead, Tesla is shifting its focus to the vehicles catered for autonomy and its Robotaxi and self-driving efforts.
Cramer recognizes this:
“…we got results from Tesla, which actually beat numbers, but nobody cares about the numbers here, as electric vehicles are the past. And according to CEO Elon Musk, the future of this company comes down to Cybercabs and humanoid robots. Stock fell more than 3% the next day. That may be because their capital expenditures budget was higher than expected, or maybe people wanted more details from the new businesses. At this point, I think Musk acolytes might be more excited about SpaceX, which is planning to come public later this year.”
He continued, highlighting the company’s true transition away from vehicles to its Cybercab, Optimus, and AI ambitions:
“I know it’s hard to believe how quickly this market can change its attitude. Last night, I heard a disastrous car company speak. Turns out it’s actually a robotics and Cybercab company, and I want to buy, buy, buy. Yes, Tesla’s the paper that turned into scissors in one session. I didn’t like it as a car company. Boy, I love it as a Cybercab and humanoid robot juggernaut. Call me a buyer and give me five robots while I’m at it.”
Cramer’s narrative seems to fit that of the most bullish Tesla investors. Anyone who is labeled a “permabull” has been echoing a similar sentiment over the past several years: Tesla is not a car company any longer.
Instead, the true focus is on the future and the potential that AI and Robotics bring to the company. It is truly difficult to put Tesla shares in the same group as companies like Ford, General Motors, and others.
Tesla shares are down less than half a percent at the time of publishing, trading at $423.69.
Elon Musk
SpaceX secures win as US labor board drops oversight case
The NLRB confirmed that it no longer has jurisdiction over SpaceX.
SpaceX scored a legal victory after the National Labor Relations Board (NLRB) decided to dismiss a case which accused the company of terminating engineers who were involved in an open letter against founder Elon Musk.
The NLRB confirmed that it no longer has jurisdiction over SpaceX. The update was initially shared by Bloomberg News, which cited a letter about the matter it reportedly reviewed.
In a letter to the former employees’ lawyers, the labor board stated that the affected employees were under the jurisdiction of the National Mediation Board (NMB), not the NLRB. As a result, the labor board stated that it was dismissing the case.
As per Danielle Pierce, a regional director of the agency, “the National Labor Relations Board lacks jurisdiction over the Employer and, therefore, I am dismissing your charge.”
The NMB typically oversees airlines and railroads. The NLRB, on the other hand, covers most private-sector employers, as well as manufacturers such as Boeing.
The former SpaceX engineers have argued that the private space company did not belong under the NMB’s jurisdiction because SpaceX only offers services to “hand-picked customers.”
In an opinion, however, the NMB stated that SpaceX was under its jurisdiction because “space transport includes air travel” to get to outer space. The mediation board also noted that anyone can contact SpaceX to secure its services.
SpaceX had previously challenged the NLRB’s authority in court, arguing that the agency’s structure was unconstitutional. Jennifer Abruzzo, the NLRB general counsel under former United States President Joe Biden, rejected SpaceX’s claims. Following Abruzzo’s termination under the Trump administration, however, SpaceX asked the labor board to reconsider its arguments.
SpaceX is not the only company that has challenged the constitutionality of the NLRB. Since SpaceX filed its legal challenge against the agency in 2024, other high-profile companies have followed suit. These include Amazon, which has filed similar cases that are now pending.
Tesla adds a new feature to Navigation in preparation for a new vehicle
Tesla stock gets latest synopsis from Jim Cramer: ‘It’s actually a robotics company’
