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
News
Tesla Semi is already winning over truck drivers
The consensus among participants is clear: the Semi feels quieter, quicker, and far less physically demanding than diesel rigs while delivering three times the power and dramatically lower operating costs.
Tesla’s all-electric Semi is proving more than just a flashy concept as it is winning converts among the professionals who know trucks best.
As fleets roll out Pilot Programs for Tesla across North America, drivers are raving about the Class 8 electric truck’s unique features, including a centered driver’s seat, massive touchscreen visibility, instant torque, and absence of gear-shifting fatigue.
These features are transforming long days behind the wheel into noticeably easier, less stressful shifts.
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In a recent Wall Street Journal profile of early pilots, Dakota Shearer of IMC Logistics described backing out of a tight spot he had mistakenly entered:
“I backed right out of there, no problem. It’s like I’d never done it in the first place. That right there showed me that the technology the Tesla has makes a big difference.”
His colleague Angel Rodriguez of Hight Logistics, who switched from a 13-speed diesel, agreed:
“It’s just easier on your body. It’s less stressful because you’re not really having to engage the clutch and the stick shift.”
Veteran drivers in other tests echo the same enthusiasm. Tom Sterba, a Senior Driver at Saia, spent days testing the Semi and came away impressed with the navigation and overall feel:
“The navigation systems in these trucks are just unbelievable. That’s what I love about it.”
Sterba summed up the experience with a line that has since gone viral among trucking circles:
“I hope I retire in this truck.”
Pilot programs with ArcBest, thyssenkrupp Supply Chain Services, and Mone Transport delivered similar feedback. Drivers consistently praised the center-seat layout for eliminating blind spots, the smooth acceleration, and the overall comfort and safety.
Real-world data backed the hype, as ArcBest logged thousands of miles at efficient consumption rates, even over the challenging routes, like Donner Pass, while other fleets beat Tesla’s own efficiency targets.
The consensus among participants is clear: the Semi feels quieter, quicker, and far less physically demanding than diesel rigs while delivering three times the power and dramatically lower operating costs.
The latest chapter in the Semi’s story arrived just days ago on Jay Leno’s Garage, as Leno became the first outsider to drive the updated long-range production model, joined by Tesla Chief Designer Franz von Holzhausen, and Semi Program Director Dan Priestley.
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The episode revealed major upgrades heading to volume production this year: the truck sheds roughly 1,000 pounds, adopts a 48-volt architecture, switches to fully electric steering with Cybertruck-derived actuators, and uses 4680 battery cells engineered for an over-one-million-mile lifespan.
Aerodynamics improved, enabling a 500-mile range on the long-haul version, and about 325 miles on the shorter-wheelbase standard-range model. Megachargers can now deliver up to 1.2 megawatts, adding roughly 300 miles in about 30 minutes.
Leno hauled heavy loads and marveled at the turning radius and effortless power delivery. “I don’t feel like I’m pulling anything,” he said during the episode.
With hundreds of Semis already accumulating over 13.5 million fleet miles and high uptime, the future of heavy-duty trucking looks electric. Drivers are giving raving reviews, and they’re ready to climb aboard the electric trucking industry for good.
Investor's Corner
Tesla and SpaceX to merge in 2027, Wall Street analyst predicts
The move, Ives argues, is no longer a distant possibility but a logical next step, fueled by deepening operational ties, shared AI ambitions, and Elon Musk’s vision for dominating the next era of technology.
Tesla and SpaceX are two of Elon Musk’s most popular and notable companies, but a new note from one Wall Street analyst claims the two companies will become one sometime next year, as 2027 could see the dawn of a new horizon.
In a bold new research note, Wedbush analyst Dan Ives has reaffirmed his long-standing prediction: Tesla and SpaceX will merge in 2027.
The move, Ives argues, is no longer a distant possibility but a logical next step, fueled by deepening operational ties, shared AI ambitions, and Elon Musk’s vision for dominating the next era of technology.
He writes:
“Still Expect Tesla and SpaceX to Merge in 2027. We continue to believe that SpaceX and Tesla will eventually merge into one company in 2027 with the groundwork already in place for both operations to become one organization. Tesla already owns a stake in SpaceX after the company’s $2 billion investment in xAI got converted to SpaceX shares following SpaceX’s acquisition of xAI earlier this year initially tying both of Musk’s ventures closer together but still represents <1% of SpaceX’s expected valuation. The recent announcement of a joint Terafab facility between SpaceX and Tesla further ties both operations together making it more feasible to merge operations given the now existing overlap being built out across the two with this the first step.”
The groundwork is already being laid. Earlier this year, SpaceX acquired xAI, converting Tesla’s $2 billion investment in the AI startup into a small equity stake, less than 1 percent, in SpaceX.
Regulatory filings cleared the transaction in March 2026, formally linking the two Musk-led companies financially for the first time. Then came the announcement of a joint TERAFAB facility in Austin, Texas: two advanced chip factories, one dedicated to Tesla’s AI needs for vehicles and Optimus robots, the other targeting space-based data centers.
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Ives calls Terafab the “first step” toward full operational integration.
SpaceX’s impending IPO, expected as soon as mid-June 2026, will turbocharge these plans. The company aims to raise approximately $75 billion at a roughly $1.75 trillion valuation, far exceeding earlier estimates.
Proceeds will fund Starship rocket flights, a NASA-contracted lunar base, expanded Starlink services across maritime, aviation, and direct-to-mobile applications, and crucially, orbital AI infrastructure
A major driver is the exploding demand for AI compute. U.S. data centers are projected to consume 470 TWh of electricity by 2030, constrained by power grids and land.
🚨 Wedbush’s Dan Ives says that Tesla and SpaceX will merge in 2027. SpaceX will IPO soon, his new note says:
“According to media reports, SpaceX could file a prospectus for an IPO imminently with the goal of raising ~$75 billion above the prior expectation of ~$50 billion…
— TESLARATI (@Teslarati) March 27, 2026
SpaceX’s strategy, launching millions of solar-powered satellites to host data centers in orbit, bypasses Earth’s energy bottlenecks. Solar energy captured in space avoids atmospheric losses and day-night cycles, offering a scalable solution for AI training and inference.
The xAI acquisition ties directly into this vision, positioning the combined entity as a leader in extraterrestrial computing.
The merger would create a formidable conglomerate spanning electric vehicles, robotics, satellite communications, human spaceflight, and defense.
Ives highlights SpaceX’s role in the Trump administration’s “Golden Dome” missile defense shield, which would leverage Starlink satellites for tracking.
For Tesla, access to SpaceX’s launch cadence and orbital assets could accelerate autonomous driving, Robotaxi fleets, and Optimus deployment.
Musk, who has signaled his desire to own roughly 25 percent of Tesla to steer its AI future, views the combination as essential to overcoming fragmented regulatory scrutiny from the FTC and DOJ.
Challenges remain. Antitrust hurdles could delay or reshape the deal, and shareholder approvals on both sides would be required. Yet Ives remains bullish, maintaining an Outperform rating on Tesla with a $600 price target, implying substantial upside from current levels. The analyst sees the merger as the “holy grail” for consolidating Musk’s disruptive tech empire.
If realized, a 2027 Tesla-SpaceX union would not only reshape corporate boundaries but redefine humanity’s trajectory in AI and space exploration. It would mark the moment two pioneering companies become one unstoppable force, pushing the limits of what’s possible on Earth and beyond.
News
Tesla ‘Killer’ heads to the graveyard as AFEELA taps out
SHM has officially discontinued development of its highly anticipated AFEELA electric vehicles. On March 25, the joint venture between Sony and Honda announced it would halt the AFEELA 1 luxury sedan and a planned SUV model.
There have been many Tesla “Killers” over the years, all of which have either failed to dethrone the automaker from its dominance in the United States, or even make it to the market altogether.
The Sony Honda Mobility (SHM) project, known as AFEELA, is the latest to make it to the grave, as the company announced its intentions to abandon the project earlier this week, Bloomberg reported.
SHM has officially discontinued development of its highly anticipated AFEELA electric vehicles. On March 25, the joint venture between Sony and Honda announced it would halt the AFEELA 1 luxury sedan and a planned SUV model.
🚗 Tesla Killers Graveyard:
Sony-Honda AFEELA
The sleek, AI-packed luxury sedan with PlayStation integration. Officially cancelled in March 2026 after Honda scaled back its EV plans.Fisker Ocean
Stylish SUV with solar roof promises. Company filed for bankruptcy in 2024 amid… https://t.co/Om14UhISOy— TESLARATI (@Teslarati) March 26, 2026
The decision follows Honda’s March 12 reassessment of its electrification strategy, which scrapped several upcoming EV programs amid slowing demand, high costs, and shifting market conditions.
SHM stated that it could no longer rely on key Honda technologies and manufacturing assets, leaving “no viable path forward.” Reservation fees for early buyers in California are being fully refunded, and the joint venture’s future is now under review.
Launched with fanfare in 2022, the AFEELA was positioned as a tech-forward premium EV blending Honda’s engineering reliability with Sony’s entertainment and AI expertise.
Prototypes featured advanced autonomous driving systems, immersive in-cabin displays, and even PlayStation integration, earning it early media labels as a potential “Tesla Killer.”
Priced around $90,000, the sedan was slated for limited production at Honda’s Ohio plant with deliveries targeted for late 2026. Industry watchers saw it as a serious challenger to Tesla’s dominance in software, connectivity, and premium appeal.
Yet, like many ambitious EV projects, it fell victim to broader industry headwinds: softening consumer demand, persistent high interest rates, and intense competition from established players.
The AFEELA joins a long list of vehicles once hyped as “Tesla Killers” that failed to deliver. In the late 2010s, Fisker’s second act, the Ocean SUV, promised stylish design and solid-state battery tech but collapsed into bankruptcy in 2024 after production delays, quality issues, and financial shortfalls.
Faraday Future poured billions into the FF 91 luxury sedan, touting it as a hyper-tech rival with unmatched performance and features; the company delivered fewer than 100 vehicles before fading into obscurity.
Lordstown Motors’ Endurance electric pickup generated massive pre-order buzz and Wall Street excitement but imploded after exaggerated range claims, a factory sale, and eventual bankruptcy.
Even Lucid Motors’ Air sedan, frequently called a Tesla slayer for its superior range and luxury, has struggled with sluggish sales and missed growth targets despite strong reviews.
Rivian’s R1T and R1S trucks enjoyed similar early acclaim and a blockbuster IPO, yet production ramp-up challenges and profitability woes have prevented it from dethroning Tesla.
The AFEELA’s quiet demise underscores a harsh reality in the EV sector. While Tesla’s first-mover advantage in software, charging infrastructure, and brand loyalty remains formidable, legacy automakers and tech newcomers alike continue to underestimate the complexities of scaling affordable, desirable electric vehicles.
As market realities force tough choices, the graveyard of “Tesla Killers” grows longer, another reminder that innovation alone is rarely enough to topple an established leader.
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