Tesla released their latest FSD Beta on the 25th. Beta testers have now had a few days with the latest beta and we take a look at how it compares to previous iterations. I am not (yet) a beta tester. Ever since I pushed the button three days ago, I had only one drive. Then I got sick. Today I am in the hospital, and I may need an operation.
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Dirty Tesla (he doesn't wash his car very often, and he lives on a dirt road) is a bit disappointed in 10.1. It's still too hesitant at stop signs, and other drivers take advantage of the Tesla's timidity. And it can't read the No Right Turn On Red signs.
Tesla Joy gives a good description of the Tesla insurance algorithm and how to convince it that you are an excellent driver. Just keeping the car on Autopilot all the time won't do it.
AI DRIVR tried to get FSD 10.1 to shift into reverse. Elon said the feature would be included in 10.1, but when shifting to reverse was the right thing to do, 10.1 didn't do it.
HyperChange lives in Seattle. He's been testing FSD Beta against streets where the rectangular concrete columns hold up the monorail. It has not done well until now. FSD 10.1 maneuvered well in the test.
Rocco Speranza took a drive with 10.1. It did well until near the end of the drive when 10.1 tried to go around some cars that were stopped in traffic. Going around would have been inappropriate so Rocco had to intervene.
At the very end of the drive, a car heading in the opposite direction was stopped a bit over the center line, and it appeared to Rocco that 10.1 didn't realize that the other car was over the center line. Rocco took over to avoid the accident. This was an example of the warning that Tesla gives to the beta testers, that the car might do the wrong thing at a crucial time, and that the human must be alert with hands on the wheel and able to take control of the car at any instant.
Tesla is making steady progress in the race to autonomous driving, but there's still work to be done. The single stack for highway and city driving didn't make it into this beta release as expected. Tesla is looking to release FSD Beta 10.2 on October 6th.
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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