Tesla released FSD Beta 11.3.3, version 2022.45.12 to employees last night. Early this morning Tesla transitioned to a public release and started sending out the beta to various consumers.
This release appears to focus on bug fixes, as the release notes remain the same as beta 11.3.2.
The expansion of 11.3.2 was halted after reaching about 9% of testers. We can only assume that Tesla identified a critical issue that needed to be addressed. The release of 11.3.3 is expected to fix these issues and expand to more users.
Tesla sent out a large wave this morning to update owners that were on beta 11.3.2.
New Visualizations and Feedback Feature
Tesla also introduced new driving visualizations, such as a wider path, blue chevrons, a stop line, and blue traffic lights. Additionally, the update includes the "Voice Drive Notes" feature, which allows drivers to provide hands-free feedback on Autopilot disengagement.
Unifying the vision and planning stack on and off-highway replaces the legacy highway stack and integrates multi-camera video networks with next-gen planners, resulting in smoother control and better decision-making capabilities.
Better positioning in wide lanes by biasing in the direction of the upcoming turn to allow other cars to maneuver around the Tesla vehicle more efficiently.
Smoother lane changes in dense traffic scenarios, allowing higher acceleration during the alignment phase for more natural gap selection when overtaking adjacent vehicles.
Enhanced handling during scenarios with high curvature or large trucks, maintaining safe distances to other vehicles on the road and increasing comfort for passengers.
Improved driving behavior next to parked cars in narrow lanes, preferring to offset and staying within the lane instead of unnecessarily lane changing away or slowing down.
New text blurbs on the user interface to communicate upcoming maneuvers and improved visualization of upcoming slowdowns along the vehicle's path.
Chevrons render at varying opacity and speed to indicate the slowdown intensity, with a solid line appearing at locations where the car will come to a stop.
More natural and human-like yellow light handling by modeling the decision as a tradeoff framework that considers estimated deceleration, time to enter and exit the intersection, and the distance traversed across the intersection before the light transitions to red.
Enhanced speed adjustment when entering certain speed zones by allowing for earlier control for detected speed limit signs and adjusting the assertiveness of the response accordingly.
A visual glow behind the speed limit icon on the user interface alerts the driver when the vehicle's set speed exceeds the detected speed limit by more than 50%.
Updated behavior for certain scenarios where the Tesla may maneuver from a turn lane to continue traveling straight, treating these maneuvers as a lane change with the turn indicator used to alert other drivers of the Tesla's intent.
Another Step Toward Autonomous
With this update, Tesla aims to enhance its Full Self-Driving system's overall user experience and safety. The company is continuously refining the technology through fleet learning, user feedback, and rigorous testing to bring autonomous driving closer to reality.
Tesla has been stressing the importance of driver vigilance even while using the FSD Beta, reminding drivers to keep their hands on the wheel and eyes on the road. The release notes reiterate that the system may not detect all objects and may not brake or slow down for crossing traffic or stationary objects, particularly when moving at high speeds.
As Tesla continues to refine its Full Self-Driving technology, the company faces increasing competition from other automakers and tech companies, such as Waymo, Cruise, and Argo AI, who are all working on developing their autonomous driving systems. Nevertheless, these updates signify Tesla's commitment to the development and improvement of its self-driving technology, inching closer to a future where autonomous vehicles are more commonplace on the roads.
The release of FSD Beta 11.3.3 is a step forward for Tesla in addressing the challenges faced in previous versions and improving the functionality and safety of its autonomous driving system. As the company works on expanding its fleet of FSD Beta testers and gathers crucial data to make further enhancements, the future of autonomous driving becomes closer to becoming a reality for Tesla owners.
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Tesla’s plan to brand its autonomous network of taxicabs has found an interesting little snag. The US Patent and Trademark Office (USPTO) has issued a “nonfinal office action” regarding Tesla’s application to trademark the term “Robotaxi” specifically in connection with autonomous electric vehicles.
This is an initial refusal by USPTO’s examining attorney and is very particular for autonomous electric automobiles. A separate trademark application by Tesla for the term “Robotaxi” as it relates to its upcoming autonomous ride-hailing service is still under examination and has not yet received a similar rebuttal.
Understanding the Refusal
A “nonfinal office action” means the USPTO has found potential issues with the trademark application, as stated, which prevents its immediate approval and subsequent granting to Tesla. Tesla now has a three-month period to file its counterarguments and address the USPTO's concerns.
If Tesla’s response satisfies the examiner, the trademark could be granted.
While the exact content of the office action isn’t detailed in the initial report, such refusals for terms like “Robotaxi” often occur if the USPTO considers the term “merely descriptive” or “generic” for the goods in question. In this particular context, “Robotaxi” could refer to any autonomous taxi vehicle.
Trademark law generally prevents the exclusive registration of terms that competitors would need to use to describe their own similar products. For a term to be trademarked, it typically needs to be distinctive and act as a brand identifier rather than just a descriptive name of the product’s class or type.
Separate Application for Ride-Hailing
Tesla still has a distinct, separate, and still pending application to register “Robotaxi” as a trademark for “transportation services, namely, autonomous ride-hailing services.” The criteria for trademarking a service can differ from those on trademarks for goods, and it’s possible Tesla may have more success securing the name for the service itself, which would allow them to brand the network as “Tesla Robotaxi.”
Why This Matters
Securing a trademark grants exclusive rights to use a brand name in conjunction with specific goods or services. This helps prevent customer confusion and to protect the brand identity.
If the refusal for the vehicle trademark becomes final, Tesla may be limited in its ability to exclusively name a good (specific vehicle) the “Tesla Robotaxi.” Other manufacturers could also potentially use “robotaxi” descriptively for their own autonomous taxi vehicles.
The ability to trademark “Robotaxi” for the ride-hailing service is arguably more critical for Tesla, as they’re working to establish a unique brand for their autonomous transportation network, which kicks off in Austin next month.
The USPTO’s office action won’t hinder Tesla’s ability to develop or deploy its own vehicles in June - instead, it’ll just impact how Tesla can brand the app and their vehicles, which could cause some last-minute delays if they have to rebrand.
Cybercab and Robovan/Robobus Trademarks
While Tesla is facing challenges with the broader Robotaxi term for vehicles, the company is also seeking to trademark “Cybercab,” “Robovan,” and “Robobus.” Securing a less descriptive name for the vehicle itself often has a higher chance of success with USPTO, as it is far more distinctive than a more general term like “robotaxi.”
Tesla may have waited too long to file a trademark for the term “Robotaxi.” While the company has been discussing a self-driving fleet since 2016, the concept of autonomous taxis has gained a lot more traction in recent years — and competitors like Uber have also begun using the term.
We suspect there was some strategic timing behind these filings. Earlier versions of FSD — particularly those prior to V12 — may have lacked the progress needed to support Tesla’s robotaxi ambitions. Filing for a trademark that isn’t actively in use or about to be used can make it harder to defend or retain.
Moreover, while the idea of autonomous vehicles has been around for years, a clearer public understanding of Tesla’s specific plans has only emerged over the past 18 months. Filing too early can trigger speculation long before the company is ready to reveal details.
Ultimately, whether Tesla secures the rights to “Robotaxi” remains uncertain — but trademarks like “Cybercab” and “Robovan” seem much more likely to stick.
One of Tesla’s greatest weaknesses, as it has quickly become one of the world’s most ubiquitous cars on the planet has always been service. Escalating issues to managers and sometimes even reaching a Tesla Service employee can be a total coin flip, depending on your Service Center.
Tesla is continuing its push to integrate AI across its customer support channels in an effort to improve customer service. According to Raj Jegannathan, Tesla’s VP for IT, AI Infrastructure, Apps, Infosecurity, and Vehicle Service Operations (that’s a lot), Tesla is launching a pilot program for a new AI designed to improve customer interactions with Service.
Tesla Service’s new AI Agent detects comms delays, monitors sentiment, & auto-escalates to leaders. Starts tomorrow at 10 pilot locations. In 2 weeks, type “Escalate” in ‘message center’ to reach managers. Guardrails in place to prevent abuse. We’ll keep improving!
At 10 pilot service locations, this new AI agent will begin working behind the scenes at Tesla Service, to help with customer communications. It will provide three key features:
Detect Communications Delays: The AI will actively monitor service interactions to identify potential delays in communication or progress. These are often a key pain point for customers who reach out to Tesla Service and don’t receive a response for several days, as Service has nothing new to add. The AI can now step in and let the customer know Tesla is still waiting on parts or something else.
Monitor Customer Sentiment: By monitoring the tone and content of the messages between the customer and Service agents, Tesla will be able to identify situations where a customer might be dissatisfied or facing difficulties.
Auto-Escalate: If either a communications delay or negative sentiment is detected, the AI can automatically escalate issues to human managers for review. This helps to address problems before customers need to seek escalation themselves or become upset about an issue.
Customer Escalation Requests
Alongside the new AI tool, Tesla is also introducing a more direct way for customers to get higher-level attention. According to Tesla, within the next two weeks, customers can simply type “Escalate” in order to have their issue routed directly to management.
Raj’s team is currently working on implementing guardrails to prevent abuse, but this will soon make its way to improving Tesla’s service offerings. We’re glad to see Tesla taking steps to identify and correct deficiencies in the process - it has always been a sore tooth for Tesla in the last few years.
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