Tesla has filed a new patent for “Parallel Processing System Runtime State Reload,” comprising of a system of three or more processors working in conjunction to effectively eliminate the possibility of hardware failure during the use of Autopilot or Full Self-Driving. The patent outlines a robust system of parallel processors that can operate in the event that one of them fails or experiences a runtime state error. “Should one of the parallel processors fail, at least one other processor would be available to continue performing autonomous driving functions,” the patent shows.
The patent was filed and published on August 26th and comes just a week after the company’s Artificial Intelligence Day event that was held last Thursday. Outlining a system of at least three processors operating in parallel, it is monitored by circuitry and can locate and identify if one of the three parallel-operating processors is having a runtime state error. The circuitry will then identify a second processor to switch to in the event of a runtime error, access the runtime state of the second processor, and load the runtime state of the second, operational processor into the first processor, which is experiencing a runtime error.
(Credit: Tesla)
Tesla describes the patent in detail:
“A system on a Chip (SoC) includes a plurality of processing systems arranged on a single integrated circuit. Each of these separate processing systems typically performs a corresponding set of processing functions. The separate processing systems typically interconnect via one or more communication bus structures that include an N-bit wide data bus (N, an integer greater than one). Some SoCs are deployed within systems that require high availability, e.g., financial processing systems, autonomous driving systems, medical processing systems, and air traffic control systems, among others. These parallel processing systems typically operate upon the same input data and include substantially identical processing components, e.g., pipeline structure, so that each of the parallel processing systems, when correctly operating, produces substantially the same output. Thus, should one of the parallel processors fail, at least one other processor would be available to continue performing autonomous driving functions.”
Technically speaking, the autonomous vehicle needs only one processor to function as described in an accurate fashion. However, these processors can be overloaded with data when loading into the Neural Network and could experience short-term and non-permanent operational errors. When this occurs, the system would then switch to one of the other processors for normal operation, with at least two backup processors in this patent, as it repeatedly mentions a series of three.
Tesla details its self-driving Supercomputer that will bring in the Dojo era
The second processor would then activate and load the runtime state into the first processor to make the primary processor chip operational once again:
“Thus, in order to overcome the above-described shortcomings, among other shortcomings, a parallel processing system of an embodiment of the present disclosure includes at least three processors operating in parallel, state monitoring circuitry, and state reload circuitry. The state monitoring circuitry couples to the at least three parallel processors and is configured to monitor runtime states of the at least three parallel processors and identify a first processor of the at least three parallel processors having at least one runtime state error. The state reload circuitry couples to the at least three parallel processors and is configured to select a second processor of the at least three parallel processors for state reload, access a runtime state of the second processor, and load the runtime state of the second processor into the first processor.”
The purpose of this patent is to continue system availability, even when the primary processor is experiencing functionality issues due to overuse. The two additional processors essentially act as “backup” and can determine whether autonomous driving systems are meant to be enabled if the first processor experiences an error. “With one particular example of this aspect, the parallel processing system supports autonomous driving and the respective sub-systems of the at least three parallel processors are safety sub-systems that determine whether autonomous driving is to be enabled.”

FIG. 13 is a timing diagram illustrating clocks of the circuits of FIGS. 8 and 10 according to one or more other described embodiments. As shown, the runtime state (data1) of first processor/first sub-system is determined to have at least one error. In response to this determination by the state monitoring/state reload circuitry, the signal st_reload1 is asserted to initiate the loading of runtime state (data2) from second processor/second sub-system into the first processor/first sub-system. With the embodiment of FIG. 13, a first clock (clk1) is used for the first processor/first sub-system and a second clock (clk1) is used for the second processor/second sub-system. There exists a positive skew between the first clock (clk1) and the second clock (clk2), resulting in a late cycle of the loading of the runtime state (data2) of the second processor/second sub-system into the first processor/sub-system, potentially resulting in errors in the runtime state reload process. (Credit: U.S. Patent Office)
It also appears that this patent aligns with Tesla CEO Elon Musk’s previous description of the Dojo self-driving Supercomputer, which was detailed at AI Day. To increase the accuracy and encourage the parallel operation of the processors, the system will utilize a clock input to calibrate the two processors, increasing the accuracy of the system.
Tesla has focused on accurate FSD operation and has revised its strategy on several occasions. After moving to a camera-only approach earlier this year for the Model 3 and Model Y, the company is experiencing more accurate FSD operation through the harmonized processing of its eight exterior cameras. The operation of internal processors, which are responsible for compiling, compressing, and sending data to the Neural Network, can fail temporarily, so the presence of backup processors to continue comprehending self-driving data is a positive idea.
The full patent is available below:
Tesla Patent Parallel Processing System Runtime State Reload by Joey Klender on Scribd
News
Tesla loses Director who designed one of the company’s best features
Thomas Dmytryk, who has spent over 11 years with Tesla and helped to develop Over-the-Air updates and the company’s vehicles’ ability to utilize them to improve, has decided to leave.
Tesla has lost the director who designed one of the company’s best features: Over-the-Air updates.
Thomas Dmytryk, who has spent over 11 years with Tesla and helped to develop Over-the-Air updates and the company’s vehicles’ ability to utilize them to improve, has decided to leave. In a lengthy statement on LinkedIn, Dmytryk said that he’s “closing the book.” He had nothing but good things to say:
“After 11 incredible years at Tesla, I’m closing the book. It’s been the ride of a lifetime: always on the news, innovating relentlessly, constantly pushing the limits. Tesla is THE place for talented, passionate people. I feel insanely lucky to have been part in that culture for so long.”
It appears the intense lifestyle of developing and creating intensively for so long might have caught up to Dmytryk, who did not give his definitive plans for the future, and it appears he may be taking some time off before jumping into a new venture:
“The future? Extremely bright. Ambitions intact, just getting started as a transformative company that could elevate billions of lives. So why leave now?! Human life’s always been my North Star, right now I need to be with mines. I’ve always admired Tesla’s top leadership and vision. But what I’ve always found incredible is the tenacity, brilliance and devotion of people on the front line. YOU make Tesla unstoppable. I wish you all the best and of course EPIC wins.”
The move was first reported by NotaTeslaApp.
Over-the-Air updates are among Tesla’s best features. They are used to improve the Full Self-Driving suite, add features, remedy recalls, and more. Many vehicles have the ability to receive OTA updates, as I did in a Ford Bronco previous to my Model Y. However, Tesla does them better than anyone else: they’re seamless, effective, and frequent. Your car always improves.
The move is a blow to Tesla, of course, considering Dmytryk’s massive contribution to the company and extremely long tenure spent, but not something that is overwhelmingly detrimental. Tesla deals with a lot of extremely intelligent people, some of whom are the best in their field, so they are sure to find a suitable replacement.
However, it’s no secret that the company has been losing some of its top talent, some of whom were in executive roles. Some have left to take on new projects, and others have not revealed their career plans.
It seems at least some of those employees are simply deciding to walk away and try new things after working so hard for so long. According to Dmytryk’s LinkedIn, he also played a large part in Musk’s acquisition of X, as he stated he “worked at Twitter/X ~45/week while working at the same pace for Tesla.”
That averages a 13-hour day, seven days a week, or 18 hours for the normal five-day work week.
News
Tesla’s most wanted Model Y heads to new region with no sign of U.S. entry
Unlike the standard Model Y, the “L” stretches the wheelbase by roughly 150 mm and the overall length by about 177 mm to 4,976 mm. The result is a genuine 2-2-2 seating layout that gives six adults proper legroom and cargo space — a true family hauler without the cramped third-row compromises of many three-row SUVs.
Tesla’s most wanted Model Y configuration is heading to a new region, and although U.S. fans and owners have requested the vehicle since its release last year, it appears the company has no plans to bring it to the market.
According to fresh regulatory filings, the six-seat Model Y L is coming to South Korea with signs indicating an imminent launch. The extended-wheelbase configuration, already a hit in China, just cleared energy-efficiency certification from the Korea Energy Agency, paving the way for deliveries as early as the first half of 2026.
The vehicle is already built at Tesla’s Giga Shanghai facility in China, making it an ideal candidate for the Asian market, as well as the European one, as the factory has been known as a bit of an export hub in the past.
$TSLA
BREAKING: The official launch of Tesla Model Y L in S.Korea seems to be quite imminent.Additional credentials related to Model YL were released today.
✅ Battery Manufacturer: LG Energy Solutions
✅ Number of passengers: 6 people
✅ Total battery capacity: 97.25 kWh… pic.twitter.com/hmy64XYi80— Tsla Chan (@Tslachan) March 6, 2026
It seems like Tesla was prepping for this release anyway, as the timing was no accident. A camouflaged Model Y L prototype was spotted testing on Korean highways the same day the certification dropped. Tesla has already secured similar approvals for Australia and New Zealand, with both markets expecting the larger Model Y in 2026.
Unlike the standard Model Y, the “L” stretches the wheelbase by roughly 150 mm and the overall length by about 177 mm to 4,976 mm. The result is a genuine 2-2-2 seating layout that gives six adults proper legroom and cargo space — a true family hauler without the cramped third-row compromises of many three-row SUVs.
South Korean filings list it as an all-wheel-drive imported electric passenger vehicle with a 97.25 kWh total battery capacity supplied by LG Energy Solution. Local tests show an impressive 543 km (337 miles) combined range at room temperature and 454 km (282 miles) in colder conditions, easing one of the biggest concerns for Korean EV buyers.
Tesla Model Y lineup expansion signals an uncomfortable reality for consumers
But for U.S. fans, things are not looking good for a launch in the market.
CEO Elon Musk has been blunt. The six-seater “wouldn’t arrive in the U.S. until late 2026, if ever,” he said, pointing to the company’s heavy bet on unsupervised Full Self-Driving and robotaxi platforms like the Cybercab. With the Model X slated for discontinuation, many families hoped the stretched Model Y would slide into the lineup as an affordable three-row bridge. So far, that hope remains unfulfilled.
For now, South Korean drivers will be among the first buyers outside China to enjoy the spacious, efficient Model Y L. Tesla continues its global rollout strategy, tailoring vehicles to regional tastes while North American customers keep refreshing their apps and crossing their fingers.
The Model Y L proves the appetite for practical, family-sized electric SUVs is stronger than ever. Hopefully, Tesla will listen to its fans and bring the vehicle to the U.S. where it would likely sell well.
Elon Musk
Tesla is ramping up its advertising strategy on social media
Tesla has long stood out in the automotive world for its unconventional approach to advertising—or, more accurately, its near-total avoidance of it. For over a decade, the company spent virtually nothing on traditional marketing.
Tesla seems to be ramping up its advertising strategy on social media once again. Marketing and advertising have not been a major focus of Tesla’s, something that has brought some criticism to the company from its fans.
However, the company looks to be making adjustments to that narrative, as it has at times in the past, as ads were spotted on several different platforms over the past few days.
On Facebook and YouTube, ads were spotted that were evidently placed by Tesla. On Facebook, Tesla was advertising Full Self-Driving, and on YouTube, an ad for its Energy Division was spotted:
Tesla also threw up some ads on YouTube for Energy https://t.co/19DGQMjBsA pic.twitter.com/XQRfgaDKxY
— TESLARATI (@Teslarati) March 9, 2026
Tesla has long stood out in the automotive world for its unconventional approach to advertising—or, more accurately, its near-total avoidance of it. For over a decade, the company spent virtually nothing on traditional marketing.
In 2022, Tesla’s U.S. ad spend was roughly $152,000, a rounding error compared to General Motors’ $3.6 billion the following year.
Traditional automakers averaged about $495 per vehicle on ads; Tesla spent $0. CEOElon Musk’s stance was explicit: “Tesla does not advertise or pay for endorsements,” he posted on X in 2019. “Instead, we use that money to make the product great.”
The strategy relied on word-of-mouth from delighted owners, Elon’s massive X following, viral product launches, media frenzy, and customer referrals. A great product, Musk argued, sells itself. It does not need Super Bowl spots or billboards. Resources poured into R&D instead, with Tesla investing nearly $3,000 per car, far more than rivals.
Tesla counters jab at lack of advertising with perfect response
This reluctance wasn’t arrogance; it was philosophy, and Musk made it clear that the money was better spent on the product. Heavy spending on ads was seen as wasteful when innovation and authenticity drove organic demand. Shareholder calls for marketing budgets were ignored.
The current shift, paid Facebook ads promoting Full Self-Driving (Supervised) and YouTube Shorts offering up to $1,000 back on Powerwall batteries, marks a pragmatic evolution.
These targeted campaigns coincide with the end of one-time FSD purchases and a March 31 deadline for FSD transfer eligibility on new vehicles.
This move likely signals Tesla adapting to scale, as well as a more concerted effort to stop misinformation regarding its platform. As EV competition intensifies and the company bets big on robotaxis and energy storage, pure organic buzz may not suffice to hit adoption targets. Selective digital ads allow precise, cost-effective reach without abandoning core principles.
If successful, it could foreshadow measured expansion into marketing, boosting high-margin software and home energy revenue while preserving Tesla’s innovative edge. But, it’s nice to see the strategy return, especially as Tesla has been reluctant to change its mind in the past.