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.
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Tesla Full Self-Driving (Supervised) v14.1.7 real-world drive and review
On an hour-long drive, we tested v14.1.7 and tested its new capabilities, which are mostly overall performance and smoothness fixes rather than integrations of new features that are unknown to routine FSD users.
Tesla started rolling out its Full Self-Driving (Supervised) v14.1.7 suite last night to owners, and there are several improvements to note within the new update that are at least the start of fixes to highly-mentioned issues.
On an hour-long drive, we tested v14.1.7 and tested its new capabilities, which are mostly overall performance and smoothness fixes rather than integrations of new features that are unknown to routine FSD users. However, there are a handful of shortcomings that are still present within the suite, which are not something that will be fixed within the span of a single update.
For what it is, Full Self-Driving does an excellent job of navigating — once you get it on its correct path. Our issues tend to be confined to navigation, routing, and the decision-making process that has to do with the way the car wants to get you to your destination. There were five things that happened on our first drive with v14.1.7 that are worth mentioning. The full drive will be available at the bottom of this article.
Navigation and Routing Still Seems to Be a Major Challenge
In past content, we’ve discussed the issues with routing and navigation, and how a Tesla chooses its path. Most noticeably, these issues occur in the same areas; for me, it’s my local Supercharger. My 2026 Model Y with AI4 continues to pick less-than-optimal routes out of the Supercharger, and in this instance, it actually chose to turn down a road, pull over, and give me the wheel, essentially asking, “Hey, can you get me on the right track here?”
This is still my biggest bone to pick with FSD, even more so than some of the bonehead moves it’s made in tougher scenarios (mostly parking lots with very limited visibility due to shrubs being planted in the worst possible locations). It’s rare that it happens, but this particular Supercharger has been a true thorn in the side of my Tesla.
This is not an issue that is confined to v14.1.7, or even v14 in general. Unfortunately, it is an issue that has persisted throughout my ownership experience, as well as during Demo Drives.
Still dealing with this Navigation/Routing issue. FSD still hasn’t figured out how to exit this Supercharger.
FSD chose to pull over and let me work it out of its predicament: pic.twitter.com/ZOIsA7eW2C
— TESLARATI (@Teslarati) November 13, 2025
Stuttering and Hesitation at Intersections was Non-Existent
There was some confusion regarding my language in a recent article where I stated Tesla is confronting the issues that have been reported regarding the “stabbing” with braking.
“Tesla began the v14.1.4 launch last night, which included minor improvements and addressed brake-stabbing issues many owners have reported. In my personal experience, the stabbing has been awful on v14.1.3, and is a major concern.
However, many things have improved, and only a couple of minor issues have been recurring. Many of the issues v13 addressed are no longer an issue, so Tesla has made significant progress.”
It has undoubtedly improved, but it is not resolved.
With that being said, I did not feel a single example of hesitation, stabbing, or stuttering at a single intersection or instance when it has been present in the past. CEO Elon Musk said it would be fixed with v14.2, so it seems like Tesla is well on its way to resolving it.
Proper Handling of Crosswalks
It’s crazy how many people still do not stop for pedestrians at clearly-marked crosswalks. I had two instances of it happen during the drive, with FSD stopping for those pedestrians both times.
Human drivers did not stop either time:
Two instances of FSD stopping for pedestrians at crosswalks while human drivers proceed: pic.twitter.com/b4W7GXsXwH
— TESLARATI (@Teslarati) November 13, 2025
Handled Merging onto a Highway with an Inconsiderate Driver Well
Routinely, drivers will get over into the left lane, if they are able, to allow merging traffic to safely enter the freeway. It does not always happen this way, and it’s not required by law.
Not exclusive to v14.1.7, as many past iterations would have done this as well, but it was nice to watch the vehicle slow down to let that traffic pass. It then entered the freeway safely, and the entire maneuver was well done.
Not exclusive to v14.1.7, but just a great job of allowing highway traffic to pass before merging: pic.twitter.com/Hl9Hr0N5Jc
— TESLARATI (@Teslarati) November 13, 2025
Took an Appropriate Move with Oncoming Foot Traffic and Debris in a Tight Alleyway
This was probably the most on-edge I was during the drive because: 1) FSD chose to take an unnecessary alleyway, and 2) there was a box and oncoming pedestrians.
The car was aware of everything that was going on. In order to avoid the box, it would have had to turn toward the pedestrians, and in order to avoid the pedestrians, it would have had to turn into the box.
It chose to wait patiently, and after the pedestrians were past the car, FSD chose to proceed.
A patient FSD debates pedestrians and debris.
It chooses to not turn toward the humans or the box, instead waiting for a clear path to proceed. EXCELLENT and my favorite part of the drive pic.twitter.com/JNVxuxkhmn
— TESLARATI (@Teslarati) November 13, 2025
Closing Thoughts
Overall, we’re very impressed with v14.1.7, and we think this is Tesla’s best iteration of the FSD suite yet, as it should be since it’s the newest version available. Tesla’s attention to detail regarding the brake stabbing is really well done, and it seems evident that a complete fix is on its way.
Other than the navigation issue at the very beginning, which was not an intervention, at least in my opinion, this was a really successful drive.
Elon Musk
Elon Musk debunks report claiming xAI raised $15 billion in funding round
xAI also responded with what appeared to be an automated reply, stating, “Legacy Media Lies.”
Elon Musk has debunked a report claiming his AI startup xAI had raised $15 billion from a funding round. Reports of the alleged funding round were initially reported by CNBC, which cited sources reportedly familiar with the matter.
CNBC’s report
The CNBC story cited unnamed sources that claimed that the new capital injection would help fund GPUs that xAI needs to train its large language model, Grok. The news outlet noted that following the funding round, xAI was valued at $200 billion.
Artificial intelligence startups have been raising funds from investors as of late. OpenAI raised $6.6 billion in October, valuing the startup at a staggering $500 billion. Reuters also reported last month that OpenAI was preparing for an IPO with a valuation of $1 trillion. Elon Musk’s xAI is looking to catch up and disrupt OpenAI, as well as its large language model, ChatGPT, which has become ubiquitous.
Elon Musk and xAI’s responses
In his response on X, Elon Musk simply stated that the CNBC story was “false.” He did not, however, explain if the whole premise of the publication’s article was fallacious, or if only parts of it were inaccurate.
Amusingly enough, xAI also issued a response when asked about the matter by Reuters, which also reported on the story. The artificial intelligence startup responded with what appeared to be an automated reply, which read, “Legacy Media Lies.”
xAI, founded in July 2023 as an alternative to OpenAI and Anthropic, has aggressively built out infrastructure to support its flagship products, including Grok and its recently launched Grokipedia platform. The company is developing its Colossus supercomputer in Memphis, which is heralded as one of the world’s largest supercomputer clusters.
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Tesla reportedly testing Apple CarPlay integration: report
Citing insiders reportedly familiar with the matter, Bloomberg News claimed that CarPlay is being trialed by the EV maker internally.
Tesla is reportedly testing Apple’s CarPlay software for its vehicles, marking a major shift after years of resisting the tech giant’s ecosystem.
Citing insiders reportedly familiar with the matter, Bloomberg News claimed that CarPlay is being trialed by the EV maker internally. The move could help Tesla gain more market share, as surveys have shown many buyers consider CarPlay as an essential feature when choosing a car.
Not the usual CarPlay experience
Bloomberg claimed that Tesla’s tests involve a rather unique way to integrate CarPlay. Instead of replacing the vehicle’s entire infotainment display, Tesla’s integration will reportedly feature a CarPlay window on the infotainment system. This limited approach will ensure that Tesla’s own software, such as Full Self-Driving’s visuals, remains dominant.
The feature is expected to support wireless connectivity as well, bringing Tesla in line with other luxury automakers that already offer CarPlay. While plans remain fluid and may change before public release, the publication’s sources claimed that the rollout could happen within months.
A change of heart
Tesla has been reluctant to grant Apple access to its in-car systems, partly due to Elon Musk’s past criticism of the tech giant’s App Store policies and its poaching of Tesla engineers during the failed Apple Car project. Tesla’s in-house software is also deemed by numerous owners as a superior option to CarPlay, thanks to its sleek design and rich feature set.
With Apple’s retreat from building cars and Elon Musk’s relationship with Apple for X and Grok, however, the CEO’s stance on the tech giant seems to be improving. Overall, Tesla’s potential CarPlay integration would likely be appreciated by owners, as a McKinsey & Co. survey last year found that roughly one-third of buyers considered the lack of such systems a deal-breaker.
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