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Tesla’s self-driving patent application hints at AI safety improvements

(Image: Tesla)

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A recently published Tesla patent application titled “System and Method for Handling Errors in a Vehicle Neural Network Processor” describes a way to safely handle errors encountered in self-driving software. Rather than risking delays in driving responses that result from input data errors, a signal is sent to ignore the bad information and continue processing as usual. Tesla’s application was published May 23, 2019 as International Publication No. WO/2019/099941.

During self-driving operations in Tesla’s program, streams of real-time input data are received and used to both train its neural network and initiate a vehicle response to what’s being processed. If something in the data is erroneous or causes a delay in processing, the real-world impact can be disastrous if not handled properly. For example, in a fast-moving vehicle, sensor data can become stale very quickly and cause the self-driving software to respond to an environment that no longer exists. This can result in accidents, property damage, injury, and/or death. The solution presented in Tesla’s patent application attempts to avoid such processing delays altogether and thus improves the safety of the self-driving software overall.

Tesla’s patent application describes the issue as follows:

“Some types of errors may cause neural network processor to hang or time out. That is, one or more portions of neural network processor may freeze or otherwise remain inactive for more than a predetermined amount of time. When a timeout error is encountered, [the] neural network processor may cease to provide output data and/or respond to input data. Other types of errors, such as program errors and/or data errors, may cause the output data generated by [the] neural network processor to be corrupted. When such errors are encountered, [the] neural network processor may continue to provide output data, but the result may be incorrect, meaningless, and/or otherwise unusable.”

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On its face, the concept behind invention may seem somewhat simple, but likely due to the complexity of neural networks and the field of autonomous driving still being fairly new, Tesla’s solution is unique and innovative. At the international review stage in the patent application process, the Examiner found that Tesla’s patent was novel (new) compared to similar neural network inventions already in the field. Specifically, the following was commented in a Written Opinion:

“Although neural network processors are well known in the art, including in the operation of a vehicle, the addition of having the controller signal that a pending data result is tainted, or incorrect, without terminating the execution of the network, improves upon prior art processors by ensuring the computations of the processor in the vehicle continue while ignoring data determined to be in error, and would require a complexity beyond the ordinary skill, and therefore…meets the…criteria for patentability.”

Concerns about Tesla’s Autopilot software were recently hit by a report published by Consumer Reports wherein the consumer advocacy group concluded that Navigate on Autopilot with autonomic lane changes was more of a liability than an asset. The report stated that, since the feature requires drivers to be one step ahead of the system while it is engaged, it still needs improvement, although the same group found Tesla’s autonomous driving software to be more capable than the competition. However, the report was only focused on how Navigate on Autopilot operates when changing lanes confirmation and warnings are disabled, contrary to scathing headlines which lumped all of Autopilot’s features together with the review.

This most recent patent application shows that Tesla is continuously improving its self-driving features, if that wasn’t already obvious from the company’s frequent over-the-air software releases.

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At Tesla’s Autonomy Day for investors last month, CEO Elon Musk declared that the company’s Full Self-Driving computer was objectively the “best in the world”. As more information becomes available, such as presentations on Tesla’s technology and in patent applications, Musk’s confidence expressed in his statement becomes more clear. Full Self-Driving is expected to be feature-complete this year and will become publicly available as regulatory hurdles are overcome.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla CEO Elon Musk says next FSD release is the one we’ve been waiting for

On Thursday, Musk teased the capabilities and next steps for Tesla’s Full Self-Driving software, focusing squarely on the incremental improvements of the current v14.3 suite, as well as the looming arrival of v15.

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Credit: Tesla

Tesla CEO Elon Musk teased the capabilities of a future Full Self-Driving release, but it seems like we are getting what Yogi Berra once called “Déjà vu all over again.”

On Thursday, Musk teased the capabilities and next steps for Tesla’s Full Self-Driving software, focusing squarely on the incremental improvements of the current v14.3 suite, as well as the looming arrival of v15.

He confirmed that upcoming point releases of v14.3 will deliver additional polish to the current build, smoothing out remaining edges in an already capable system. These iterative updates, Musk noted, are designed to refine performance without requiring a full version overhaul.

Tesla Full Self-Driving v14.3: First Impressions

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Yet the real headline was Musk’s forecast for v15.

“V15 will far exceed human levels of safety, even in completely unsupervised and complex situations,” he wrote.

He clarified that v15 will be powered by Tesla’s long-awaited large model, an AI architecture with roughly 10x the parameters of the smaller model currently in widespread use. The leap, Musk explained, stems from the unusually rapid progress of the compact model, which has advanced so quickly that the larger counterpart has yet to catch up in real-world deployment.

However, it is becoming a pattern that is, by now, familiar to anyone following Tesla’s autonomous driving roadmap.

Musk has consistently and repeatedly framed each successive major release as the one poised to deliver game-changing autonomy. Earlier versions were similarly positioned as a movement toward the final piece of the puzzle, only for attention to pivot to the next milestone once they arrived.

The refrain has become a recurring feature of FSD communication: current software is impressive, the point releases will sharpen it further, but the true breakthrough lies one major iteration ahead.

Musk’s latest comments fit squarely into that cadence. While v14.3 point releases are expected to tighten supervised driving behaviors in the coming weeks, v15 is cast as the version that finally crosses the threshold into unsupervised operation at human-or-better safety levels across demanding scenarios.

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The 10x parameter scale of the underlying large model is presented as the key technical enabler, promising richer reasoning and more robust decision-making than anything deployed to date.

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Whether v15 ultimately fulfills that promise remains to be seen. Tesla’s history shows that each new target generates fresh excitement—and occasional skepticism—about timelines.

Fans realize Musk’s timelines for FSD are exciting, but rarely met:

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For now, Musk’s message is familiar: the immediate focus is polishing v14.3 through targeted point releases, while the 10x-parameter large model in v15 represents the next decisive step toward fully unsupervised, superhuman safety.

Hopefully, Tesla can come through, but we can only believe that once v15 gets here, v16 will be the next big step toward autonomy.

Drivers can expect continued refinement in the short term and a significantly more ambitious leap once the large model is ready. The cycle continues, but the stakes, Musk insists, keep rising.

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Tesla Supercharger for Business exposes jaw-dropping ROI gap between best and worst locations

Tesla’s new Supercharger for Business calculator reveals an eye-opening all-in cost and location-based ROI projections.

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tesla v4 supercharger

Tesla has launched an online calculator for its Supercharger for Business program, giving property owners their first transparent look at what it really costs to install Superchargers on site and what kind of return they can expect.

The program itself launched in September 2025, allowing businesses to purchase and operate Supercharger hardware on their own property while Tesla handles installation, maintenance, software, and 24/7 driver support. As Teslarati reported at launch, hosts also get their logo placed on the chargers and their location integrated into Tesla’s in-car navigation, meaning drivers are actively routed there. The stalls are open to all EVs, not just Teslas.


The new online calculator, announced by Tesla on Wednesday with the note that “simplicity and transparency” have been a problem in the industry, lets any business enter a U.S. address and get a real cost and revenue model. A standard 8-stall V4 Supercharger site runs approximately $500,000 in hardware and $55,000 per post for installation, bringing an all-in price just shy of $1 million. Tesla charges a flat $0.10 per kWh fee to cover software, billing, and network operations. Businesses set their own retail price and keep the margin above that fee.

Tesla expands its branded ‘For Business’ Superchargers

 

Taking a look at Tesla’s Supercharger for Business online calculator, we can see that ROI is not uniform, and the gap between a strong location and a poor one can stretch the breakeven point by several years.

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The biggest driver is foot traffic and how long people stay. A busy rest station, hotel, or outlet mall brings in repeat visitors who need to charge while they’re already stopped, pushing utilization numbers higher and shortening payback time.

Tesla Supercharger for Business ROI calculator

Tesla Supercharger for Business ROI calculator

Local electricity rates matter just as much on the cost side. Markets like California carry some of the highest commercial electricity rates in the country, which eats into the margin between what a host pays per kWh and what they charge drivers. At the same time, dense urban areas with high EV adoption tend to support higher retail charging prices, which can offset that cost if demand is strong enough. Weather also plays a role. Cold climates reduce battery efficiency and increase charging frequency, but they can also suppress utilization in winter months if drivers avoid stopping in exposed outdoor locations. Suburban and rural sites face a different problem: lower baseline EV traffic, which means a site with cheaper power and lower operating costs can still take longer to pay back simply because the stalls sit idle more often. Tesla’s calculator uses real fleet data to pre-fill utilization estimates by ZIP code, so businesses can run their specific address against these variables rather than relying on averages.

The program has seen real adoption. Wawa, already the largest host of Tesla Superchargers with over 2,100 stalls across 223 locations, opened its first fully owned and branded site in Alachua, Florida earlier this year. Francis Energy of Oklahoma and the city of Alpharetta, Georgia have also deployed branded stations through the program, as Teslarati covered in January.

Tesla now exceeds 80,000 Supercharger stalls worldwide, and the calculator makes the economic case for accelerating that number through private investment rather than company-owned sites alone.

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Elon Musk drops a bomb regarding Tesla Model S, X inventory

After more than a decade on the road, the original flagship sedan and SUV platforms are effectively at the end of the line. Production of new Model S and Model X vehicles has ceased, and custom orders were quietly halted in early April. What remains are roughly a few hundred factory inventory units scattered across the globe, mostly Plaid variants, and they are disappearing fast.

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lon Musk at the Tesla Model S production launch at the Fremont factory, June 2012. Photo shared by Musk on X, March 2026.
lon Musk at the Tesla Model S production launch at the Fremont factory, June 2012. Photo shared by Musk on X, March 2026.

Elon Musk just dropped a bomb regarding Tesla Model S and X inventory, and as the company is phasing out the flagship vehicles, it sounds like the time to purchase one brand new is almost over.

Musk confirmed on Wednesday that there are “only a few hundred Tesla Model S & X cars left in inventory. Order now if you want one.”

Tesla is running out of units rather quickly.

The message from Musk reads like a final call for two of the company’s most storied vehicles.

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After more than a decade on the road, the original flagship sedan and SUV platforms are effectively at the end of the line. Production of new Model S and Model X vehicles has ceased, and custom orders were quietly halted in early April. What remains are roughly a few hundred factory inventory units scattered across the globe, mostly Plaid variants, and they are disappearing fast.

The news marks the close of a remarkable 14-year chapter. Launched in 2012, the Model S redefined the electric vehicle with blistering acceleration, over-the-air updates, and a luxury interior that embarrassed traditional sedans.

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The Model X followed in 2015, turning heads with its Falcon-wing doors and seating for seven.

Together, the Model S and Model X proved EVs could be desirable halo cars, not just eco-friendly commuters. Their departure clears factory space at Tesla’s Fremont plant for something the mass production of the Optimus humanoid robot, which Musk believes will be the greatest contributor to the company’s value.

Musk has repeatedly signaled that Tesla’s future lies beyond passenger cars. Resources once devoted to low-volume flagships are shifting toward autonomy, Robotaxis, and AI hardware. Optimus, the company’s general-purpose robot, is expected to handle manufacturing, household chores, and eventually complex labor.

In the short term, the scarcity has already driven prices on remaining inventory up by about $15,000, turning the last Model S and X into instant collector’s items.

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Tesla uses Model S and X ‘sentimental’ value to enforce massive pricing move

 

The announcement underscores Tesla’s relentless pivot. While the Model Y continues to hold strong sales, the legacy S and X represented an earlier era of pure performance luxury.

The future has been paved by Tesla and Musk’s focus on autonomy, at least in the United States. Customers continue to call for a large SUV, which might be on the way after a recent nudge from Musk on X. 

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However, whatever the future holds, it has been forged by Tesla’s two flagship vehicles.

Once these final cars are gone, the Model S and Model X will live on only in driveways, forums, and the rear-view mirror of automotive history.

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