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 gathers 93,000 FSD miles in a country where FSD isn’t approved – here’s how
Tesla has quietly logged an impressive 93,000 miles (roughly 150,000 km) of autonomous driving at its Giga Berlin factory—using Full Self-Driving (FSD) in a country where the technology remains unavailable to consumers on public roads.
Tesla has gathered 93,000 Full Self-Driving miles in a country where Full Self-Driving is not even approved. Here’s how.
Tesla has quietly logged an impressive 93,000 miles (roughly 150,000 km) of autonomous driving at its Giga Berlin factory—using Full Self-Driving (FSD) in a country where the technology remains unavailable to consumers on public roads.
The milestone, revealed alongside news that Giga Berlin has now built 750,000 Model Y vehicles, highlights how Tesla is putting its AI to work in one of the most controlled environments imaginable: it’s own factory floor.
Every Model Y that rolls off the final assembly line at Giga Berlin doesn’t need a human driver to reach the outbound lot. Instead, the freshly built vehicles engage FSD and navigate themselves across the factory campus.
The Tesla Model Ys rolling off the production line at Giga Berlin have now driven themselves on FSD a combined 93,000 miles from the end of the production line to the outbound lot. https://t.co/6RhL3W4q4p pic.twitter.com/DOKKHUcSSL
— Sawyer Merritt (@SawyerMerritt) May 11, 2026
The route—from the end of the production line through marked internal pathways to the staging area where cars await delivery or export—is entirely on private property. No public roads, no mixed traffic, and no regulatory hurdles for on-road autonomous operation.
It’s a closed-loop system: wide lanes, predictable layouts, minimal pedestrians, and consistent conditions that make it one of the simplest proving grounds for the software.
A short factory tour video shared by Tesla Manufacturing shows General Assembly team member Jan explaining the process. Gesturing beside a glossy black Model Y still wearing its protective wrap, he notes the cumulative distance the fleet has covered autonomously.
Tesla Giga Berlin seems to be using FSD Unsupervised to move Model Y units
The cars handle the short drive flawlessly, freeing up workers who would otherwise spend hours shuttling vehicles manually. For a high-volume plant like Giga Berlin, the time and labor savings add up quickly. Even small gains in cycle time per car can reclaim valuable space in the outbound lot and streamline logistics.
This internal deployment serves multiple purposes. First, it delivers zero-cost validation data. Each factory run exposes FSD to real-world physics—acceleration, steering precision, obstacle avoidance—in a repeatable setting far safer than public testing.
Second, it demonstrates the system’s readiness at scale. If FSD can reliably move thousands of brand-new cars without intervention inside a busy factory, it underscores the robustness of the vision-based, end-to-end neural network Tesla has been refining.
Critics often point to Europe’s cautious regulatory stance on unsupervised autonomy, yet Tesla has turned that limitation into an advantage. While owners in Germany still cannot activate consumer FSD on highways or city streets, the software is already proving its worth behind the factory gates.
The 93,000 miles represent not just internal efficiency gains but a subtle flex: the cars are manufactured ready to navigate autonomously, at least in the bounds of the factory. It’s a big feather in the cap of FSD, even if regulators have yet to green-light broader use.
As Giga Berlin continues ramping output, expect this autonomous logistics loop to grow. What began as a practical workaround for moving finished vehicles has quietly become one of the most compelling real-world showcases of FSD’s potential—right in the heart of regulated Europe. Tesla isn’t waiting for approval to perfect its autonomy; it’s already driving the future, one factory mile at a time.
Elon Musk
Elon Musk reveals how SpaceX is always on board Air Force One
Musk confirmed Tuesday that Starlink internet is live and kicking on Air Force One. Responding with a simple “Yup!” to a post showing him and Nvidia CEO Jensen Huang aboard the presidential jet en route to Beijing with President Trump, Musk proved the point: America’s most important aircraft now has seamless, high-speed satellite connectivity—even over the middle of the Pacific.
Air Force One, the official call sign for a U.S. Air Force aircraft carrying the President, now runs on SpaceX Starlink, CEO Elon Musk revealed.
Musk confirmed Tuesday that Starlink internet is live and kicking on Air Force One. Responding with a simple “Yup!” to a post showing him and Nvidia CEO Jensen Huang aboard the presidential jet en route to Beijing with President Trump, Musk proved the point: America’s most important aircraft now has seamless, high-speed satellite connectivity—even over the middle of the Pacific.
Yup!
— Elon Musk (@elonmusk) May 13, 2026
The timing couldn’t be more symbolic. With trillion-dollar CEOs and the President sharing the cabin, Starlink wasn’t just a nice-to-have—it was mission-critical. No more spotty signals or dropped calls. Instead, real-time video conferences, secure data transfers, and global coordination at Mach speed.
Starlink’s aviation push has already transformed commercial and private flying. Dozens of major airlines have signed on or begun rollouts.
Hawaiian Airlines, United Airlines, Qatar Airways, Air France, SAS, WestJet, airBaltic, and Emirates (now equipping its Boeing 777 and A380 fleets) offer Starlink Wi-Fi to passengers. Lufthansa plans to follow in late 2026.
On private jets, the upgrade is even hotter: owners and charter companies report skyrocketing demand because Starlink turns cabins into flying boardrooms.
Starlink gets its latest airline adoptee for stable and reliable internet access
The advantages are massive. Traditional in-flight Wi-Fi relied on slow, high-latency geostationary satellites or ground-based systems that cut out over oceans and remote areas. Starlink’s low-Earth-orbit constellation delivers blazing speeds—often exceeding 200 Mbps download with latency as low as 25-60 milliseconds—gate-to-gate, from takeoff to landing.
Passengers stream 4K video, join Zoom calls, or work in the cloud without buffering. Pilots get real-time weather, NOTAM updates, and live ATC data. Even private-jet travelers get the benefits, as it means productivity that rivals the office.
On Air Force One, those benefits become strategic superpowers. The presidential aircraft demands unbreakable communications for national security, diplomacy, and crisis response. Starlink provides global coverage with no dead zones, offering redundancy against traditional systems that could fail in contested airspace or during long-haul flights.
It enables the President and staff to maintain secure links with the Pentagon, allies, or business leaders anywhere on Earth. During the Beijing trip, it likely facilitated direct coordination on trade, tech, and AI—proving the system’s reliability for the highest-stakes missions.
Critics once dismissed Starlink as a rich-person toy or military experiment. Now, it’s the backbone of commercial fleets, private aviation, and the world’s most visible symbol of American power, and it is providing stable internet to travelers.
With over 2,000 commercial aircraft committed and private-jet installations booming, Starlink is rewriting the rules of connected flight, and it seems like each week, a new airline is choosing to use it for on-flight connectivity.
For Air Force One, it’s more than faster Wi-Fi. It’s uninterrupted command-and-control in an increasingly connected world—ensuring the President never has to go dark at altitude. Elon Musk just made sure of it.
Elon Musk
SpaceX unveils sweeping Starship V3 upgrades ahead of May 19 launch
SpaceX has released a detailed list of changes for Starship Version 3, the next iteration of its fully reusable super-heavy-lift vehicle. Scheduled for its maiden flight as early as May 19 from Starbase in Texas, Starship V3 incorporates dozens of redesigns across the Super Heavy booster, Starship upper stage, Raptor 3 engines, and Launch Pad 2.
SpaceX has unveiled sweeping upgrades to its Starship v3 rocket ahead of the upcoming May 19 launch.
SpaceX has released a detailed list of changes for Starship Version 3, the next iteration of its fully reusable super-heavy-lift vehicle. Scheduled for its maiden flight as early as May 19 from Starbase in Texas, Starship V3 incorporates dozens of redesigns across the Super Heavy booster, Starship upper stage, Raptor 3 engines, and Launch Pad 2.
Elon Musk reveals date of SpaceX Starship v3’s maiden voyage
The updates focus on simplification, mass reduction, reliability, and enabling core capabilities like rapid reusability, in-orbit refueling, Starlink deployment, and crewed missions to the Moon and Mars.
Collectively, these modifications mark a major step-change. By reducing dry mass, improving thermal protection, and integrating systems for orbital operations, Starship V3 aims to transition from test vehicle to operational infrastructure.
Here is an explicit, broken-down list of the key changes, first starting with the changes to Super Heavy V3:
- Grid Fin Redesign: Reduced from four fins to three. Each fin is now 50% larger and stronger, repositioned for better catching and lifting performance. Fins are lowered on the booster to reduce heat exposure during hot staging, with hardware moved inside the fuel tank for protection.
- Integrated Hot Staging: Eliminates the old disposable interstage shield. The booster dome is now directly exposed to upper-stage engine ignition, protected by tank pressure and steel shielding. Interstage actuators retract after separation.
- New Fuel Transfer System: Massive redesign of the fuel transfer tube—roughly the size of a Falcon 9 first stage—enables simultaneous startup of all 33 Raptors for faster, more reliable flip maneuvers.
- Engine Bay / Thermal Protection: Engine shrouds removed entirely; new shielding added between engines. Propulsion and avionics are more tightly integrated. CO₂ fire suppression system deleted for a simpler, lighter aft section.
- Propellant Loading Improvements: Switched from one quick disconnect to two separate systems for added redundancy and reduced pad complexity.
Next, we have the changes to Starship V3:
- Completely Redesigned Propulsion System: Clean-sheet redesign supports new Raptor startup, larger propellant volume, and an improved reaction control system while reducing trapped or leaked propellant risk.
- Aft Section Simplification: Fluid and electrical systems rerouted; engine shrouds and large aft cavity deleted.
- Flap Actuation Upgrade: Changed from two actuators per flap to one actuator with three motors for better redundancy, mass efficiency, and lower cost.
- Faster Starlink Deployment: Upgraded PEZ dispenser enables quicker satellite release.
- Long-Duration Spaceflight Capability: New systems for long orbital coasts, orbital refueling, cryogenic fluid management, vacuum-insulated header tanks, and high-voltage cryogenic recirculation.
- Ship-to-Ship Docking + Refueling: Four docking drogues and dedicated propellant transfer connections added to support in-space refueling architecture.
- Avionics Upgrades: 60 custom avionics units with integrated batteries, inverters, and high-voltage systems (9 MW peak power). New multi-sensor navigation for precision autonomous flight. RF sensors measure propellant in microgravity. ~50 onboard camera views and 480 Mbps Starlink connectivity for low-latency communications.
Next are the changes to the Raptor 3 Engine:
- Higher Thrust: Sea-level Raptors increased from 230 tf (507k lbf) to 250 tf (551k lbf); vacuum Raptors from 258 tf (568k lbf) to 275 tf (606k lbf).
- Lower Mass: Sea-level engine mass reduced from 1630 kg to 1525 kg.
- Simpler Design: Sensors and controllers integrated into the engine body; shrouds eliminated; new ignition system for all variants. Results in ~1 ton of vehicle-level weight savings per engine.
Finally, the upgrades to Launch Pad 2 are as follows:
- Faster propellant loading via larger farm and more pumps.
- Chopstick improvements: shorter arms, electromechanical actuators (replacing hydraulic) for reliability.
- Stronger quick-disconnect arm that swings farther away.
- Redesigned launch mount for better load handling and protection.
- New bidirectional flame diverter eliminates post-launch ablation and refurbishment.
- Hardened propellant systems with separated methane/oxygen lines and protected valves/filters.
SpaceX states these elements “are designed to enable a step-change in Starship capabilities and aim to unlock the vehicle’s core functions, including full and rapid reuse, in-space propellant transfer, deployment of Starlink satellites and orbital data centers, and the ability to send people and cargo to the Moon and Mars.”
With these upgrades, Starship V3 is poised for an epic test flight that could accelerate humanity’s multiplanetary future. The rapid pace of iteration underscores SpaceX’s relentless drive toward making life multiplanetary. Launch watchers are in for a spectacular show.