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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- Tesla’s self-driving patent application focuses on handling errors found in its neural network. | Image: Tesla/WIPO
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- Tesla’s self-driving patent application focuses on handling errors found in its neural network. | Image: Tesla/WIPO
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.
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.
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Tesla gathers Cybercab fleet in Gigafactory Texas
Images and video of the Cybercab fleet were shared by longtime Giga Texas observer Joe Tegtmeyer in posts on social media platform X.
Tesla appears to be assembling a growing number of Cybercabs at Gigafactory Texas as preparations continue for the vehicle’s mass production. Recent footage shared online has shown over 30 Cybercabs being transported by trucks or staged near testing areas at the facility.
The images and video were shared by longtime Giga Texas observer and drone operator Joe Tegtmeyer in posts on social media platform X.
Interestingly enough, Tegtmeyer noted that many of the Cybercabs being loaded onto transport trucks were still equipped with steering wheels. This suggests that the vehicles are likely testing units rather than the final driverless configuration expected for the company’s Robotaxi service.
The vehicles could potentially be headed to testing sites across the United States as Tesla prepares to expand its Robotaxi fleet.
Additional footage captured at Gigafactory Texas also showed the Cybercab’s side and rear camera washer system operating as vehicles were being loaded onto transport trucks.
The growing number of Cybercabs at Giga Texas comes amidst the company’s announcement that the first production Cybercab has been produced at the facility. Full Cybercab production is expected to begin in April.
The vehicle is expected to play a central role in Tesla’s Robotaxi ambitions as the company looks to expand autonomous ride-hailing operations beyond its early deployments using Model Y vehicles.
Tesla has also linked Cybercab production to its proposed Unboxed manufacturing process, which assembles large vehicle modules separately before integrating them. The approach is intended to reduce production costs and accelerate output.
Musk has also noted that the Cybercab’s ramp will likely begin slowly due to the number of new components and manufacturing steps involved. However, he stated that once the process matures, Cybercab production could scale quickly.
Elon Musk
Elon Musk’s xAI, creator of Grok and Grokipedia, celebrates its third birthday
xAI Memphis highlighted several of its milestones over the years in its celebratory post.
Elon Musk’s artificial intelligence startup xAI has marked its third anniversary. The update was shared in a post from the xAI Memphis account on social media platform X.
xAI Memphis highlighted several of its milestones over the years in its celebratory post.
As per xAI, it has built three massive data centers in the city, launched a coherent cluster of 330,000 GBs, created over 3,000 jobs, and paid over $30 million in taxes to local communities.
xAI’s Memphis operation has become a key part of the company’s infrastructure as the company works to train and deploy its Grok artificial intelligence models. Elon Musk has been quite optimistic about Grok’s potential, noting in the past that the large language model might have a shot at achieving artificial general intelligence (AGI).
xAI’s Memphis’ crown jewel is its Colossus supercomputer cluster. The project was announced in 2024 and has since become the home of one of the world’s largest AI compute facilities. The first phase of Colossus reached its initial 100,000 GPU operational milestone in just 122 days, or just about four months.
Industry figures such as Nvidia CEO Jensen Huang have praised the facility, noting that projects of similar scale typically take two to four years to complete.
xAI has cited Memphis’ central location, skilled workforce, and industrial infrastructure as key reasons for selecting the city as the home of its AI training operations. The company has also emphasized plans to expand the site further as it scales compute capacity for Grok and future AI models.
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Tesla Sweden’s Megapack Supercharger near Arlanda continues to aggravate IF Metall union
The charging site, located in Arlandastad outside Stockholm, appears to be operating despite ongoing union blockade measures tied to Tesla’s labor dispute in the country.
Tesla Sweden’s Megapack-powered Supercharger station near Arlanda Airport has continued to aggravate Swedish labor union IF Metall. The charging site, located in Arlandastad outside Stockholm, appears to be operating despite ongoing union blockade measures tied to Tesla’s labor dispute in the country.
Comments about the site were shared by IF Metall representatives in remarks to Swedish publication CarUp.
The Arlandastad location includes eight Tesla Superchargers powered by a Megapack battery system. Unlike traditional charging stations that rely on direct grid connections, the site uses a large battery installation to store electricity and power the chargers.
According to the Swedish publication, the setup allowed the station to come online despite sympathy measures from Sweden’s electricians’ union, which has attempted to prevent companies from cooperating with Tesla as part of the broader labor conflict.
IF Metall press manager Jesper Pettersson indicated that the union was not aware that the Superchargers had already been connected and activated.
“We do not know the details around this. But it is further proof of how Tesla systematically finds loopholes to circumvent the sympathy measures through active strikebreaking. Every time this happens it gives us reason to sharpen our conflict measures,” Pettersson said.
Union representatives also noted that the Megapack appears to be charged using electrical cables routed through nearby terrain, though the exact power source remains under review.
The Megapack-powered site has then prompted questions from Swedish labor unions about how electricity is being supplied to the system.
IF Metall has submitted a report to Sweden’s Energy Market Inspectorate asking the regulator to review whether the electricity supply arrangement complies with national regulations. The Megapack is reportedly charged using electricity from a local company, though the provider has not been publicly identified.
Peter Lydell, an ombudsman at IF Metall, previously stated that Swedish law limits electricity trading to companies with proper authorization.
“The legislation states that only companies that engage in electricity trading may supply electricity to other parties. You may not supply electricity without a permit, then you are engaging in illegal electricity trading. That is why we have reported this…
“This is about a company that helps Tesla circumvent the conflict measures that exist. It is clear that it is troublesome and it can also have consequences,” Lydell said.
IF Metall and Tesla Sweden’s conflict has been going on for over two years now.
Tesla gathers Cybercab fleet in Gigafactory Texas
Elon Musk’s xAI, creator of Grok and Grokipedia, celebrates its third birthday
