Tesla may have multiple versions of FSD hardware 4.0
@GreenTheOnly/Twitter
Since its introduction, Tesla's Hardware 4 (HW4), the company's most advanced full self-driving computer, has been shrouded in mystery. Renowned Tesla hacker @greentheonly, or Green, has uncovered more details about HW4, providing valuable insight into its technology.
2-SOC Version and Camera Layouts
Green's analysis of firmware samples led to the discovery of the shipping version of HW4, internally referred to as the 2-SOC (System on a Chip) version. This version supports two possible camera layouts: the current one or an expanded one with added surround-view cameras, such as a front bumper camera and two additional side cameras. These cameras can run at a resolution of 2880x1876 and reach up to 45 frames per second. The main and backup cameras have unique specifications, with the vendor yet to be determined.
The new Global Navigation Satellite System (GNSS) is reportedly based on the Teseo V platform, while the radar system connects via Ethernet and operates on an internal IP address of 192.168.90.110.
Initial HW4 Camera Connectors and New Cameras
Initially, Green revealed HW4 with 12 camera connectors, and new cameras were expected to be used in HW4 vehicles. However, the first vehicles with HW4, specifically the Model S and Model X, have the new hardware but do not include the new cameras. As previously reported in our Project Highland article, Tesla plans to add a new camera to the bumper and one more to each side of the vehicle.
Two HW4 Setups and the 3-SOC Version
Green's latest findings show two HW4 setups: one with additional cameras and one without. Additionally, Green's firmware analysis has uncovered the existence of a 3-SOC version in development. The camera layouts for this version remain the same, but the internal deserializing routing differs.
Increased heat output from the GPU in HW4 has possibily led to limitations in its capabilities. The 3-SOC version could potentially address this issue by offering better heat dissipation or paving the way for new hardware. However, the exact purpose and development of the 3-SOC version remain uncertain at this time.
Tesla Semi Truck-related Findings
In another intriguing development, Green's firmware analysis revealed information related to Tesla's Semi truck, with the Battery Management System (BMS) and all three subpacks accessible over an internal ethernet network.
These discoveries by @greentheonly provide a comprehensive understanding of the advanced technology behind Tesla's HW4. As the most advanced full self-driving computer on the market, its potential applications and capabilities are undoubtedly exciting for the automotive industry and consumers.
As Tesla continues to develop and refine its full self-driving technology, it is crucial to address questions about its safety, functionality, and integration with existing systems. The world eagerly awaits further developments in the cutting-edge HW4 and the autonomous driving experience it promises to deliver.
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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.”
Why Didn’t Tesla Do This Years Ago?
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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