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
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Tesla wins top loyalty and conquest honors in S&P Global Mobility 2025 awards
The electric vehicle maker secured this year’s “Overall Loyalty to Make,” “Highest Conquest Percentage,” and “Ethnic Loyalty to Make” awards.
Tesla emerged as one of the standout winners in the 2025 S&P Global Mobility Automotive Loyalty Awards, capturing top honors for customer retention and market conquest.
The electric vehicle maker secured this year’s “Overall Loyalty to Make,” “Highest Conquest Percentage,” and “Ethnic Loyalty to Make” awards.
Tesla claims loyalty crown
According to S&P Global Mobility, Tesla secured its 2025 “Overall Loyalty to Make” award following a late-year shift in consumer buying patterns. This marked the fourth consecutive year Tesla has received the honor. S&P Global Mobility’s annual analysis reviewed 13.6 million new retail vehicle registrations in the U.S. from October 2024 through September 2025, as noted in a press release.
In addition to overall loyalty, Tesla also earned the “Highest Conquest Percentage” award for the sixth consecutive year, highlighting the company’s continued ability to attract customers away from competing brands. This achievement is particularly notable given Tesla’s relatively small vehicle lineup, which is largely dominated by just two models: the Model 3 and Model Y.
Ethnic market strength and conquest
Tesla also captured top honors for “Ethnic Market Loyalty to Make,” a category that highlighted especially strong retention among Asian and Hispanic households. According to the analysis, Tesla achieved loyalty rates of 63.6% among Asian households and 61.9% among Hispanic households. These figures exceeded national averages.
S&P Global Mobility executives noted that loyalty margins across categories were exceptionally narrow in 2025, underscoring the significance of Tesla’s wins in an increasingly competitive market. Joe LaFeir, President of Mobility Business Solutions at S&P Global Mobility, shared his perspective on this year’s results.
“For 30 years, this analysis has provided a fact-based measure of brand health, and this year’s results are particularly telling. The data shows the market is not rewarding just one type of strategy. Instead, we see sustained, high-level performance from manufacturers with broad portfolios. In the current market, retaining customers remains a critical performance indicator for the industry,” LaFeir said.
Elon Musk
Elon Musk’s lawsuit against OpenAI and Microsoft is heading to jury trial
The ruling keeps alive claims that OpenAI misled the Tesla CEO about its charitable purpose while accepting billions of dollars in funding.
OpenAI Inc. and Microsoft will face a jury trial this spring after a federal judge rejected their efforts to dismiss Elon Musk’s lawsuit, which accuses the artificial intelligence startup of abandoning its original nonprofit mission. The ruling keeps alive claims that OpenAI misled the Tesla CEO about its charitable purpose while accepting billions of dollars in funding.
As noted in a report from Bloomberg News, a federal judge in Oakland, California, ruled that OpenAI Inc. and Microsoft failed to show that Musk’s claims should be dismissed. U.S. District Judge Yvonne Gonzalez Rogers stated that while the evidence remains unclear, Musk has maintained that OpenAI “had a specific charitable purpose and that he attached two fundamental terms to it: that OpenAI be open source and that it would remain a nonprofit — purposes consistent with OpenAI’s charter and mission.”
Judge Gonzalez Rogers also rejected an argument by OpenAI suggesting that Musk’s use of an intermediary to donate $38 million in seed money to the company stripped him of legal standing. “Holding otherwise would significantly reduce the enforcement of a large swath of charitable trusts, contrary to the modern trend,” Judge Gonzalez Rogers wrote.
The judge also declined to dismiss Musk’s fraud allegations, citing internal OpenAI communications from 2017 involving co-founder Greg Brockman. In an email cited by the judge, fellow OpenAI board member Shivon Zilis informed Musk that Brockman would “like to continue with the non-profit structure.”
Just two months later, however, Brockman wrote in a private note that he “cannot say that we are committed to the non-profit. don’t want to say that we’re committed. if three months later we’re doing b-corp then it was a lie.”
Marc Toberoff, a member of Musk’s legal team, said Judge Gonzalez Rogers’s ruling confirms that “there is substantial evidence that OpenAI’s leadership made knowingly false assurances to Mr. Musk about its charitable mission that they never honored in favor of their personal self-enrichment.”
OpenAI, for its part, maintained that Musk’s legal efforts are baseless. In a statement, the AI startup said it is looking forward to the upcoming trial. “Mr. Musk’s lawsuit continues to be baseless and a part of his ongoing pattern of harassment, and we look forward to demonstrating this at trial. We remain focused on empowering the OpenAI Foundation, which is already one of the best-resourced nonprofits ever,” OpenAI stated.
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Tesla arsonist who burned Cybertruck sees end of FAFO journey
The man has now reached the “Find Out” stage.
A Mesa, Arizona man has been sentenced to five years in federal prison for setting fire to a Tesla location and vehicle in a politically motivated arson attack, federal prosecutors have stated.
The April 2025 incident destroyed a Tesla Cybertruck, endangered first responders, and triggered mandatory sentencing under federal arson laws.
A five-year sentence
U.S. District Judge Diane J. Humetewa sentenced Ian William Moses, 35, of Mesa, Arizona, to 5 years in prison followed by 3 years of supervised release for maliciously damaging property and vehicles by means of fire. Moses pleaded guilty in October to all five counts brought by a federal grand jury. Restitution will be determined at a hearing scheduled for April 13, 2026.
As per court records, surveillance footage showed Moses arriving at a Tesla store in Mesa shortly before 2 a.m. on April 28, 2025, carrying a gasoline can and backpack. Investigators stated that he placed fire starter logs near the building, poured gasoline on the structure and three vehicles, and ignited the fire. The blaze destroyed a Tesla Cybertruck. Moses fled the scene on a bicycle and was arrested by Mesa police about a quarter mile away, roughly an hour later.
Authorities said Moses was still wearing the same clothing seen on camera at the time of his arrest and was carrying a hand-drawn map marking the dealership’s location. Moses also painted the word “Theif” on the walls of the Tesla location, prompting jokes from social media users and Tesla community members.
The “Finding Out” stage
U.S. Attorney Timothy Courchaine noted that Moses’ sentence reflects the gravity of his crime. He also highlighted that arson is never acceptable.
“Arson can never be an acceptable part of American politics. Mr. Moses’ actions endangered the public and first responders and could have easily turned deadly. This five-year sentence reflects the gravity of these crimes and makes clear that politically fueled attacks on Arizona’s communities and businesses will be met with full accountability.”
Maricopa County Attorney Rachel Mitchell echoed the same sentiments, stating that regardless of Moses’ sentiments towards Elon Musk, his actions are not defensible.
“This sentence sends a clear message: violence and intimidation have no place in our community. Setting fire to a business in retaliation for political or personal grievances is not protest, it is a crime. Our community deserves to feel safe, and this sentence underscores that Maricopa County will not tolerate political violence in any form.”
Tesla wins top loyalty and conquest honors in S&P Global Mobility 2025 awards
Elon Musk’s lawsuit against OpenAI and Microsoft is heading to jury trial
