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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News
Tesla sees sharp November rebound in China as Model Y demand surges
New data from the China Passenger Car Association (CPCA) shows a 9.95% year-on-year increase and a 40.98% jump month-over-month.
Tesla’s sales momentum in China strengthened in November, with wholesale volumes rising to 86,700 units, reversing a slowdown seen in October.
New data from the China Passenger Car Association (CPCA) shows a 9.95% year-on-year increase and a 40.98% jump month-over-month. This was partly driven by tightened delivery windows, targeted marketing, and buyers moving to secure vehicles before changes to national purchase tax incentives take effect.
Tesla’s November rebound coincided with a noticeable spike in Model Y interest across China. Delivery wait times extended multiple times over the month, jumping from an initial 2–5 weeks to estimated handovers in January and February 2026 for most five-seat variants. Only the six-seat Model Y L kept its 4–8 week estimated delivery timeframe.
The company amplified these delivery updates across its Chinese social media channels, urging buyers to lock in orders early to secure 2025 delivery slots and preserve eligibility for current purchase tax incentives, as noted in a CNEV Post report. Tesla also highlighted that new inventory-built Model Y units were available for customers seeking guaranteed handovers before December 31.
This combination of urgency marketing and genuine supply-demand pressure seemed to have helped boost November’s volumes, stabilizing what had been a year marked by several months of year-over-year declines.
-->For the January–November period, Tesla China recorded 754,561 wholesale units, an 8.30% decline compared to the same period last year. The company’s Shanghai Gigafactory continues to operate as both a domestic production base and a major global export hub, building the Model 3 and Model Y for markets across Asia, Europe, and the Middle East, among other territories.
Tesla bear Michael Burry got blunt with his beliefs over the company’s valuation, which he called “ridiculously overvalued” in a newsletter to subscribers this past weekend.
“Tesla’s market capitalization is ridiculously overvalued today and has been for a good long time,” Burry, who was the inspiration for the movie The Big Short, and was portrayed by Christian Bale.
Burry went on to say, “As an aside, the Elon cult was all-in on electric cars until competition showed up, then all-in on autonomous driving until competition showed up, and now is all-in on robots — until competition shows up.”
Tesla bear Michael Burry ditches bet against $TSLA, says ‘media inflated’ the situation
For a long time, Burry has been skeptical of Tesla, its stock, and its CEO, Elon Musk, even placing a $530 million bet against shares several years ago. Eventually, Burry’s short position extended to other supporters of the company, including ARK Invest.
Tesla has long drawn skepticism from investors and more traditional analysts, who believe its valuation is overblown. However, the company is not traded as a traditional stock, something that other Wall Street firms have recognized.
While many believe the company has some serious pull as an automaker, an identity that helped it reach the valuation it has, Tesla has more than transformed into a robotics, AI, and self-driving play, pulling itself into the realm of some of the most recognizable stocks in tech.
Burry’s Scion Asset Management has put its money where its mouth is against Tesla stock on several occasions, but the firm has not yielded positive results, as shares have increased in value since 2020 by over 115 percent. The firm closed in May.
In 2020, it launched its short position, but by October 2021, it had ditched that position.
Tesla has had a tumultuous year on Wall Street, dipping significantly to around the $220 mark at one point. However, it rebounded significantly in September, climbing back up to the $400 region, as it currently trades at around $430.
It closed at $430.14 on Monday.
Tesla appears to be making a change to its exterior side repeater cameras, which are used for the company’s Full Self-Driving suite, and other features, like Sentry Mode.
The change appears to be a potential upgrade in preparation for the AI5 suite, which CEO Elon Musk said will be present on a handful of vehicles next year, but will not be widely implemented until 2027.
Currently, Tesla uses a Sony sensor lens with the model number IMX963, a 5-megapixel camera with better dynamic range and low-light performance over the past iteration in Hardware 3 vehicles. Cameras in HW3 cars were only 1.2 megapixels.
However, Tesla is looking to upgrade, it appears, as Tesla hacker greentheonly has spotted a new sensor model in its firmware code, with the model number IMX00N being explicitly mentioned:
Looks like Tesla is changing (upgrading?) cameras in (some?) new cars produced.
Where as HW4 to date used exterior cameras with IMX963, now they (might potentially) have something called IMX00N— green (@greentheonly) December 1, 2025
Sony has not announced any formal specifications for the IMX00N model, and although IMX963 has been used in AI4/HW4 vehicles, it only makes sense that Tesla would prepare to upgrade these external cameras once again in preparation for what it believes to be the second hardware iteration capable of fully autonomous self-driving.
Tesla has maintained that AI4/HW4 vehicles are capable of self-driving operation, but AI5 will likely help the company make significant strides, especially in terms of overall performance and data collection.
Tesla last updated its exterior cameras on its vehicles back in early 2023, as it transitioned to the 5-megapixel IMX963. It also added additional cameras to its vehicles in January with the new Model Y, which featured an additional lens on the front bumper to help with Full Self-Driving.
Tesla’s new self-driving computer (HW4): more cameras, radar, and more
Tesla sees sharp November rebound in China as Model Y demand surges
Tesla bear gets blunt with beliefs over company valuation
