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 Giga Texas buzzing as new Cybertruck appears to enter production
Additionally, the Cybercab manufacturing ramp-up is continuing amidst Tesla’s busy May, which includes a handful of things from an automotive perspective.
Tesla Giga Texas is buzzing with a lot of action, as it appears the new Cybertruck trim that was offered a few months back has entered production. Additionally, the Cybercab manufacturing ramp-up is continuing amidst Tesla’s busy May, which includes a handful of things from an automotive perspective.
Drone operator Joe Tegtmeyer captured striking footage over Giga Texas on the morning of May 11, 2026, revealing fresh batches of Cybertrucks that may mark the start of series production for the long-awaited $59,990 Dual Motor AWD variant.
Tesla launches new Cybertruck trim with more features than ever for a low price
The vehicles lined up in staging areas, and we got a great look at three of the units parked on the property:
Hard to say for sure, but production of the $59K AWD @Cybertruck may be just getting started here on this early and soggy morning at Giga Texas … this version is much harder to visually distinguish from the premium AWD versions, so I’ll come back on Wednesday and we’ll see if… pic.twitter.com/UX7yCQpgeC
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) May 11, 2026
Tegtmeyer notes the difficulty in visually distinguishing this base AWD model from higher-trim versions, unlike the earlier Long-Range RWD that lacked a motorized tonneau cover.
Tesla launched the $59,990 Dual Motor AWD Cybertruck in late February 2026 with a brief introductory pricing window that closed by month’s end.
Initial U.S. delivery estimates of June 2026 quickly slipped to September–October and, for newer orders, as far as April 2027.
The move underscores robust consumer interest in a more accessible all-wheel-drive Cybertruck priced under $60,000 before incentives—positioning it as a volume play for Tesla’s electric pickup lineup while premium AWD and Cyberbeast variants continue to be sold as usual.
Meanwhile, Cybercab production at the same Austin facility shows steady, if deliberate, progress. Tegtmeyer’s latest flyover documented dozens of glossy production-spec Cybercabs parked in the outbound lot—consistent with Tesla’s early statements that initial output would remain modest before scaling later in 2026.
The purpose-built robotaxi, unveiled in 2024 and lacking a steering wheel or pedals, rolled its first unit off the line in February. Volume manufacturing began in April, with early examples already undergoing autonomous testing around the factory grounds.
Elon Musk has repeatedly emphasized that Cybercab and Semi production will start slowly before ramping “exponentially” toward year-end. The presence of multiple finished units signals Tesla’s Unboxed manufacturing process is maturing, even as the company balances Cybertruck output with autonomy milestones.
Recent drone imagery also shows ongoing construction for Optimus and test-track expansions, highlighting Giga Texas’s evolving role as Tesla’s hub for next-generation vehicles.
For Cybertruck buyers, the potential ramp of the $59K AWD offers hope of shorter waits and broader market access. For autonomy enthusiasts, the growing fleet of Cybercabs hints at robotaxi service trials on the horizon.
While official confirmation from Tesla remains pending, Tegtmeyer’s footage provides the clearest public signal yet that both programs are advancing in parallel at Giga Texas.
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Tesla Full Self-Driving gains momentum in Europe with new country mulling approval
Tesla is advancing FSD’s technology across Europe with fresh talks underway in Ireland, signaling broader regulatory progress. On May 10, Ireland’s Department of Transport confirmed that Tesla is actively engaging with national authorities, including the National Standards Authority of Ireland (NSAI) to secure approval for FSD Supervised.
Tesla Full Self Driving (FSD) technology is gaining momentum in Europe, with yet another new country mulling a potential approval for operation on its roads.
Tesla is advancing FSD’s technology across Europe with fresh talks underway in Ireland, signaling broader regulatory progress. On May 10, Ireland’s Department of Transport confirmed that Tesla is actively engaging with national authorities, including the National Standards Authority of Ireland (NSAI) to secure approval for FSD Supervised.
While the department noted that full rollout in Ireland would ultimately depend on EU-level clearance, the engagement marks a notable step forward in Tesla’s European expansion strategy, Irish media outlet RTE said.
The news comes on the heels of a landmark breakthrough in the Netherlands. In April, Dutch vehicle authority RDW granted the first-ever EU type approval for FSD Supervised after 18 months of rigorous testing on public roads and tracks. The provisional approval allows the system on all Dutch roads, with Tesla already rolling it out to select owners following mandatory safety training.
The Netherlands has since notified the European Commission and is advocating for wider recognition, positioning the Dutch decision as a potential template for the bloc.
Europe has long lagged behind the United States, China, and other markets where FSD is more widely available. Strict EU regulations on automated driving systems have required extensive validation, but momentum is building.
Tesla now lists the Netherlands alongside established markets such as the U.S., Canada, Australia, and South Korea on its regional FSD page. Other countries, including Belgium, are reportedly fast-tracking their own review processes in response to the Dutch precedent.
Analysts see Ireland’s involvement as strategic. As a smaller EU member with unique road challenges—narrow rural lanes, hedgerows, and variable weather—successful validation there could demonstrate FSD’s adaptability and strengthen the case for harmonized EU approval.
Tesla has indicated it aims for broader EU deployment as early as summer 2026, though the timeline remains fluid. Discussions at the EU’s Technical Committee on Motor Vehicles continue, with a possible vote later in the year. Some member states, particularly in Scandinavia, have expressed reservations over edge cases like speeding protocols and long-term safety data.
For Tesla, European expansion is more than a software update; it unlocks significant growth. The continent’s dense population and high vehicle ownership could accelerate data collection, refine the AI models powering FSD, and pave the way for unsupervised autonomy and robotaxi services.
Owners stand to benefit from enhanced safety features and reduced driver fatigue, while regulators weigh innovation against proven risk reduction. Early Dutch results already cite safety improvements:
Tesla Full Self-Driving shows stunning maneuver in Europe to silence skeptics
But the work is far from done, and challenges are still present. FSD Supervised still requires driver attention and a readiness to intervene. EU rules emphasize that the technology is not fully autonomous, placing legal responsibility on the human operator. Tesla must also navigate varying national road conditions and public perception.
Nevertheless, the Ireland talks underscore a clear trajectory: one national approval at a time, Europe is inching closer to widespread FSD access. If the Dutch model gains traction, Summer 2026 could mark the beginning of a transformative chapter for autonomous driving on European roads.
Tesla’s persistent engagement with regulators is starting to pay off, and it suggests the company is still heavily committed to the expansion efforts across Europe, despite the red tape it has had to persist through.
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Tesla Semi gets strange-but-understandable comparison from Jay Leno
In a recent interview with MotorTrend, legendary comedian and automotive enthusiast Jay Leno shared his impressions after driving Tesla’s long-range Semi truck, offering one of the most vivid descriptions to date:
The Tesla Semi recently received a strange-but-understandable comparison from automotive enthusiast and former long-time late-night television show host Jay Leno.
In a recent interview with MotorTrend, legendary comedian and automotive enthusiast Jay Leno shared his impressions after driving Tesla’s long-range Semi truck, offering one of the most vivid descriptions to date:
“It’s like driving an office building.”
The comparison may seem quirky—office buildings evoke images of immobility rather than motion—but it aptly conveys the experience of commanding a massive 23,000-pound Class 8 electric truck that delivers sports-car acceleration.
Lenotested the production-spec Long Range model, which is rated for up to 500 miles of range. He was visibly impressed by its performance, noting how the enormous vehicle moves with surprising urgency.
“It’s as fast as a Tesla, but it’s like driving an office building,” he remarked. “It’s this huge thing that moves like right now. You go 500 miles. You get 60% charge in 30 minutes. You’re saving on fuel costs. It seems quite good.”
Jay Leno in new interview on what it’s like to drive the @Tesla Semi:
“I was quite impressed with that. It’s a fast as a Tesla, but it’s like driving an office building. It’s this huge thing that moves like right now. You go 500 miles. You get 60% charge in 30 mins. You’re… pic.twitter.com/YU7tk6a6pV
— Sawyer Merritt (@SawyerMerritt) May 8, 2026
The reaction highlights the cognitive dissonance at the core of the Tesla Semi. Traditional diesel semi-trucks are slow, noisy, and expensive to run. The Semi rewrites the rules with instant torque from its tri-motor electric powertrain, producing up to 800 kW.
Despite its size, the truck feels agile thanks to full electric steering assist, upgraded actuators borrowed from the Cybertruck, and a 48-volt electrical architecture that improves responsiveness and efficiency.
Tesla reports real-world energy consumption below 1.7 kWh per mile for the Long Range version. Megacharger stations can deliver a 60% charge in roughly 30 minutes, making the truck suitable for long-haul operations.
Additional features include an electric Power Take-Off (ePTO) capable of 25 kW for trailer refrigeration or other equipment, and a driver-focused cab with a central seating position for optimal visibility and a quiet, high-tech interior.
Fleet operators stand to benefit significantly from the economics. Diesel trucks often cost nearly one dollar per mile when including fuel, maintenance, and downtime.
Tesla projects the Semi can reduce operating costs to as low as 15 cents per mile through cheaper electricity, regenerative braking that minimizes brake wear, and reduced service requirements. While early deployments, like Pepsi’s, focused on shorter routes, the 500-mile variant targets cross-country applications.
Obstacles remain. A fully loaded tractor-trailer can reach 80,000 pounds, which reduces real-world range compared to the unloaded test conditions. Building out a nationwide Megacharger network will be essential for broader adoption. The Semi also carries a higher upfront price than conventional diesels, though total cost of ownership and available incentives frequently tip the scales in its favor over time.
Tesla Semi hauls fresh Cybercab batch as Robotaxi era takes hold
Leno’s “office building” description resonates because it captures the unexpected thrill of piloting something so large yet so capable. As the trucking industry faces pressure to cut emissions and control rising fuel expenses, the Semi offers a compelling alternative that excels in performance, comfort, and efficiency.
Coming from a man who has driven everything from vintage classics to modern hypercars, Leno’s genuine enthusiasm adds weight to the verdict.
The Tesla Semi is emerging as more than an experimental EV—it represents a practical vision for the future of heavy-duty transport where massive rigs accelerate instantly, and the numbers finally make sense. If fleet results continue to validate the claims, the era of diesel dominance could be drawing to a close.
Tesla Giga Texas buzzing as new Cybertruck appears to enter production
Tesla Full Self-Driving gains momentum in Europe with new country mulling approval
