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.
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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
Elon Musk
Tesla board reveals reasoning for CEO Elon Musk’s new $1 trillion pay package
“Yes, you read that correctly: in 2018, Elon had to grow Tesla by billions; in 2025, he has to grow Tesla by trillions — to be exact, he must create nearly $7.5 trillion in value for shareholders for him to receive the full award.”

Tesla’s Board of Directors has proposed a new pay package for company CEO Elon Musk that would result in $1 trillion in stock offerings if he is able to meet several lofty performance targets.
Musk, who has not been meaningfully compensated since 2017, completed his last pay package by delivering billions in shareholder value through a variety of performance-based “tranches,” which were met and resulted in the award of billions in stock.
Elon Musk’s new pay plan ties trillionaire status to Tesla’s $8.5 trillion valuation
However, Musk was unable to claim this award due to a ruling by the Delaware Chancery Court, which deemed the payout an “unfathomable sum.”
Now, the company is taking steps to ensure Musk gets paid, as the Board feels that it is crucial to retain its CEO, who has been responsible for much of the company’s success.
This is not a statement to undermine the work of all of Tesla’s terrific employees, but a ship needs to be captained by someone, and Musk has proven he is the right person for the job.
The Board also believes that, based on a statement made by the company in its proxy, various issues will be discussed during the upcoming Shareholder Meeting.
Robyn Denholm and Kathleen Wilson-Thompson recognized Musk’s contributions in a statement, which encouraged shareholders to vote to approve the payout:
“We’re asking you to approve the 2025 CEO Performance Award. In designing the new performance award, we explored numerous alternatives. Ultimately, the new award aims to build upon the success of the 2018 CEO Performance Award framework, which ensure that Elon was only paid for the performance delivered and incentivized to guide Tesla through a period of meteoric growth. The 2025 CEO Performance Award similarly challegnes Elon to again meet a series of even more aspirational goals, including operational milestones focused on reaching Adjusted EBITDA targets (thresholds that are up to 28 times higher than the 2108 CEO Performance Award’s top Adjusted EBITDA milestone) and rolling out new or expanded product offerings (including 1 million Robotaxis in commercial operation and delivery of 1 million AI Bots), all while growing the company’s market capitalization by trillions of dollars.
Yes, you read that correctly: in 2018, Elon had to grow Tesla by billions; in 2025, he has to grow Tesla by trillions — to be exact, he must create nearly $7.5 trillion in value for shareholders for him to receive the full award.
In addition to these unprecedented performance milestones, the 2025 CEO Performance Award also includes innovative structural features, born out of the special committee’s considered analysis and extensive shareholder feedback. These features include supercharged retention (at least seven and a half years and up to 10 years to vest in the full award), structural protections to minimize stock price volatility due to administration of this award and, thereafter, incentives for Elon to participate in the Board’s continued development of a framework for long-term CEO Succession. If Elon achieves all the performance milestones under this principle-based 2025 CEO Performance Award, his leadership will propel Tesla to become the most valuable company in history.”
Musk will have a lot of things to accomplish to receive the 423,743,904 shares, which are divided into 12 tranches.
However, the Board feels he is the right person for the job, and they want him to remain the CEO. This package should ensure that he stays with Tesla, as long as shareholders feel the same way.
News
Tesla Robotaxi app download rate demolishes Uber, Waymo all-time highs
After two and a half months of testing with a group of hand-picked Tesla influencers and some media, the company has officially launched Robotaxi rides in both Austin, Texas, and the California Bay Area to the public.

Tesla launched its Robotaxi app to the general public yesterday, and the number of downloads is a testament to the platform’s high demand for testing.
After two and a half months of testing with a group of hand-picked Tesla influencers and some media, the company has officially launched Robotaxi rides in both Austin, Texas, and the California Bay Area to the public.
Tesla Robotaxi makes major expansion with official public app launch
Downloading the app is available to iOS users, so if you have an iPhone, you can get it and join the waitlist. Tesla has not yet launched the Robotaxi app for the Android platform, but did hint that it would be coming soon.
The testing phase with the group Tesla selected has gone well. In Austin, the City has only listed one “Safety Concern” with Robotaxi during the testing phase. For the most part, things have gone extremely well, and riders have had good things to say.
Tesla is still operating with some safeguards in place, such as Safety Monitors and Safety Drivers, but these are precautionary and temporary; CEO Elon Musk has said they should be removed by the end of the year.
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Even still, Tesla Robotaxi is something that many people want to experience, and the app downloads prove it.
The Tesla Robotaxi app was downloaded at a rate that exceeded all rolling 30-day periods of both Uber and Waymo, according to Brett Winton of ARK Invest. Tesla’s Robotaxi’s first day on the App Store exceeded Uber’s by 40 percent and Waymo’s best download day ever by six times:
Today’s Tesla Robotaxi App downloads outpaced Uber across all rolling 30 day periods by 40% and bested Waymo’s best download day ever by >6x pic.twitter.com/s9s1XTsUu2
— Brett Winton (@wintonARK) September 5, 2025
The surge in downloads is a good indication of how in demand the Robotaxi suite was, as many people within the community had vocalized their requests to try the platform, but Tesla was not ready to expand it beyond its handpicked group.
The expansion of the program will result in more rides, provided Tesla continues to expand its fleet of vehicles. It has already admitted many of those who were initially placed on the waitlist.
News
Elon Musk’s xAI expands to Seattle with salaries up to $440,000
The move was announced by the artificial intelligence startup and Elon Musk on social media platform X.

Elon Musk’s artificial intelligence startup xAI is opening a new office in Seattle as it accelerates its global expansion.
The move was announced by the artificial intelligence startup and Elon Musk on social media platform X. xAI is also hiring for its first positions in the new site.
New Seattle office
As could be seen on xAI’s Careers webpage, the Seattle office is currently hiring for three engineering roles. Each of the three technical roles tied to the new site carry salaries ranging from $180,000 to $440,000.
The new office adds to xAI’s growing presence, which now spans San Francisco, Austin, London, Dublin, New York, and Memphis. The Seattle-based roles focus on video and image generation systems, signaling Musk’s intent to challenge rivals like OpenAI and Meta in generative AI.
Pressures and challenges
Seattle also places xAI within reach of Microsoft’s headquarters in Redmond. Microsoft has emerged as a central player in the AI race through its multibillion-dollar partnership with OpenAI, making xAI’s move into the region notable. The competition for AI specialists has pushed salaries higher across the industry, with filings showing OpenAI staff earning up to $530,000 and Anthropic engineers as much as $690,000 annually, as noted by Insider.
The startup has also seen some high-profile departures in recent months, including cofounder Igor Babuschkin and general counsel Robert Keele. Still, xAI continues to grow aggressively, and its Grok large language model has been gaining momentum among mainstream users. Work also continues to be underway to further build out the company’s Colossus supercomputer cluster. Reports have also suggested that xAI has moved into San Francisco offices in the Mission District, a site Musk initially leased during OpenAI’s early years.
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