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 Model S completes first ever FSD Cannonball Run with zero interventions
The coast-to-coast drive marked the first time Tesla’s FSD system completed the iconic, 3,000-mile route end to end with no interventions.
A Tesla Model S has completed the first-ever full Cannonball Run using Full Self-Driving (FSD), traveling from Los Angeles to New York with zero interventions. The coast-to-coast drive marked the first time Tesla’s FSD system completed the iconic, 3,000-mile route end to end, fulfilling a long-discussed benchmark for autonomy.
A full FSD Cannonball Run
As per a report from The Drive, a 2024 Tesla Model S with AI4 and FSD v14.2.2.3 completed the 3,081-mile trip from Redondo Beach in Los Angeles to midtown Manhattan in New York City. The drive was completed by Alex Roy, a former automotive journalist and investor, along with a small team of autonomy experts.
Roy said FSD handled all driving tasks for the entirety of the route, including highway cruising, lane changes, navigation, and adverse weather conditions. The trip took a total of 58 hours and 22 minutes at an average speed of 64 mph, and about 10 hours were spent charging the vehicle. In later comments, Roy noted that he and his team cleaned out the Model S’ cameras during their stops to keep FSD’s performance optimal.
History made
The historic trip was quite impressive, considering that the journey was in the middle of winter. This meant that FSD didn’t just deal with other cars on the road. The vehicle also had to handle extreme cold, snow, ice, slush, and rain.
As per Roy in a post on X, FSD performed so well during the trip that the journey would have been completed faster if the Model S did not have people onboard. “Elon Musk was right. Once an autonomous vehicle is mature, most human input is error. A comedy of human errors added hours and hundreds of miles, but FSD stunned us with its consistent and comfortable behavior,” Roy wrote in a post on X.
Roy’s comments are quite notable as he has previously attempted Cannonball Runs using FSD on December 2024 and February 2025. Neither were zero intervention drives.
Elon Musk
Tesla removes Autopilot as standard, receives criticism online
The move leaves only Traffic Aware Cruise Control as standard equipment on new Tesla orders.
Tesla removed its basic Autopilot package as a standard feature in the United States. The move leaves only Traffic Aware Cruise Control as standard equipment on new Tesla orders, and shifts the company’s strategy towards paid Full Self-Driving subscriptions.
Tesla removes Autopilot
As per observations from the electric vehicle community on social media, Tesla no longer lists Autopilot as standard in its vehicles in the U.S. This suggests that features such as lane-centering and Autosteer have been removed as standard equipment. Previously, most Tesla vehicles came with Autopilot by default, which offers Traffic-Aware Cruise Control and Autosteer.
The change resulted in backlash from some Tesla owners and EV observers, particularly as competing automakers, including mainstream players like Toyota, offer features like lane-centering as standard on many models, including budget vehicles.
That being said, the removal of Autopilot suggests that Tesla is concentrating its autonomy roadmap around FSD subscriptions rather than bundled driver-assistance features. It would be interesting to see how Tesla manages its vehicles’ standard safety features, as it seems out of character for Tesla to make its cars less safe over time.
Musk announces FSD price increases
Following the Autopilot changes, Elon Musk stated on X that Tesla is planning to raise subscription prices for FSD as its capabilities improve. In a post on X, Musk stated that the current $99-per-month price for supervised FSD would increase over time, especially as the system itself becomes more robust.
“I should also mention that the $99/month for supervised FSD will rise as FSD’s capabilities improve. The massive value jump is when you can be on your phone or sleeping for the entire ride (Unsupervised FSD),” Musk wrote.
At the time of his recent post, Tesla still offers FSD as a one-time purchase for $8,000, but Elon Musk has confirmed that this option will be discontinued on February 14, leaving subscriptions as the only way to access the system.
Tesla has initiated Cybertruck deliveries in a new region for the first time, as the all-electric pickup has officially made its way to the United Arab Emirates, marking the newest territory to receive the polarizing truck.
Tesla launched orders for the Cybertruck in the Middle East back in September 2025, just months after the company confirmed that it planned to launch the pickup in the region, which happened in April.
I took a Tesla Cybertruck weekend Demo Drive – Here’s what I learned
By early October, Tesla launched the Cybertruck configurator in the United Arab Emirates, Qatar, and Saudi Arabia, with pricing starting at around AED 404,900, or about $110,000 for the Dual Motor configuration.
This decision positioned the Gulf states as key early international markets, and Tesla was hoping to get the Cybertruck outside of North America for the first time, as it has still been tough to launch in other popular EV markets, like Europe and Asia.
By late 2025, Tesla had pushed delivery timelines slightly and aimed for an early 2026 delivery launch in the Middle East. The first official customer deliveries started this month, and a notable handover event occurred in Dubai’s Al Marmoom desert area, featuring a light and fire show.
Around 63 Cybertrucks made their way to customers during the event:
First @cybertruck deliveries in the UAE 🇦🇪 pic.twitter.com/sN2rAxppUA
— Tesla Europe & Middle East (@teslaeurope) January 22, 2026
As of this month, the Cybertruck still remains available for configuration on Tesla’s websites for the UAE, Saudi Arabia, Qatar, and other Middle Eastern countries like Jordan and Israel. Deliveries are rolling out progressively, with the UAE leading as the first to see hands-on customer events.
In other markets, most notably Europe, there are still plenty of regulatory hurdles that Tesla is hoping to work through, but they may never be resolved. The issues come from the unique design features that conflict with the European Union’s (EU) stringent safety standards.
These standards include pedestrian protection regulations, which require vehicles to minimize injury risks in collisions. However, the Cybertruck features sharp edges and an ultra-hard stainless steel exoskeleton, and its rigid structure is seen as non-compliant with the EU’s list of preferred designs.
The vehicle’s gross weight is also above the 3.5-tonne threshold for standard vehicles, which has prompted Tesla to consider a more compact design. However, the company’s focus on autonomy and Robotaxi has likely pushed that out of the realm of possibility.
For now, Tesla will work with the governments that want it to succeed in their region, and the Middle East has been a great partner to the company with the launch of the Cybertruck.
Tesla Model S completes first ever FSD Cannonball Run with zero interventions
Tesla removes Autopilot as standard, receives criticism online
