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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 Roadster is ‘sorcery and magic’ and might be worth the wait, Uber founder says

Perhaps the wait will be worth it, especially according to Uber founder Travis Kalanick, who recently teased the Roadster’s potential capabilities based on what he has heard from internal Tesla sources.

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tesla roadster
Credit: Praveen Joseph/Twitter

Tesla is planning to unveil the Roadster in late April after years of waiting. But the wait might be worth it, according to Travis Kalanick, the founder of Uber, who recently shed some light on his expectations for the all-electric supercar.

We all know the Roadster is supposed to have some serious capability. CEO Elon Musk has said on numerous occasions that the Roadster will be unlike anything else ever produced. It might go from 0-60 MPH in about a second, it might hover, it might have SpaceX cold gas thrusters.

However, the constant delays in the Roadster program and its unveiling event continue to send Tesla fans into confusion because they’re just not sure when, or if, they’ll ever see the finished product.

Perhaps the wait will be worth it, especially according to Uber founder Travis Kalanick, who recently teased the Roadster’s potential capabilities based on what he has heard from internal Tesla sources.

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Kalanick said on X:

Musk has said this vehicle is not going to be geared for safety, and that, “If safety is your number one goal, do not buy the Roadster.”

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There has been so much hype regarding the Roadster that it is hard to believe the company could not come through on some kind of crazy features for the vehicle.

Elon Musk just dropped a huge detail on the Tesla Roadster

However, the latest delay that Tesla put on the unveiling event is definitely eye-opening, especially considering it is the latest in a series of pushbacks the company has put on the vehicle for the past several years.

Tesla has made several jumps in the Roadster project over the past few months, as it has ramped up hiring for the vehicle and also applied for a patent for a new seat design.

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The car has been a back-burner project for Tesla, as it has been focusing primarily on autonomy and the rollout of Robotaxi and Cybercab. Additionally, its other vehicle projects, like the Model 3 and Model Y refreshes, took precedence.

Tesla still plans to unveil the Roadster next month, so we can hope the company can stick to this timeframe.

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Elon Musk clarifies viral Tesla Cybertruck accident with driver logs

Musk has come out to say that the driver logs have already shown that the driver “disengaged Autopilot four seconds before crashing,” in a post on X.

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Credit: Fox Business | Hilliard Law Firm

Tesla CEO Elon Musk has clarified some details regarding the viral Tesla Cybertruck accident with company driver logs, which show various metrics at the time of an incident.

The logs have been used in the past to pull responsibility off of Tesla when the automaker’s Full Self-Driving (Supervised) or Autopilot platforms are blamed for a collision or accident. It appears this will be no different.

On Tuesday, a video of a Cybertruck crashing into an overpass barrier in August 2025 was shared by Fox Business in a story that reported a woman was suing the automaker for $1 million in a liability and negligence case.

In the suit, Justine Saint Amour said that, “Something terrifying happened, without warning, the vehicle attempted to drive straight off an overpass.” Her attorney, Bob Hilliard, said Amour “tried to take control, but crashed into the barrier and was seriously injured (mostly her shoulder, neck, and back).”

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The Tesla Model Y is leading China’s electric SUV segment by a wide margin

Tesla vehicle crashes are widely popular to report by mainstream media outlets because of the sensationalism of the event. Oftentimes, these outlets will include Tesla in the headline, especially because it will pique the interest of the masses, as most who read the story are waiting to see the claim that Autopilot or Full Self-Driving was the culprit of the accident.

However, Tesla has access to the logs of every vehicle in its fleet, which will show the various metrics, like whether either FSD or Autopilot was active, if the accelerator was pressed, the speed, and other important factors.

Musk has come out to say that the driver logs have already shown that the driver “disengaged Autopilot four seconds before crashing,” in a post on X.

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If the logs do show this, which Tesla will likely have to prove in court, the real question would be why did the Amour disengage the suite?

Tesla’s Full Self-Driving suite is still not fully autonomous, meaning the driver cannot pull attention away from the road and must be ready to take over the vehicle at all times.

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It will be interesting to see how this particular case pans out, especially considering the clip that was released by the law firm starts at about four seconds before the collision. Tesla logs have dispelled media reports in the past that have accused the company’s suite of being responsible for an accident, so there will be some major attention on what is proven in this particular case.

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Tesla Robotaxi appears to be heading to a new U.S. city

Things are expanding for Robotaxi, but the big sign that it is really moving along greatly will be with the expansion to a new city. Tesla has not gone outside of Austin or the Bay Area as of yet, and launching in a new city will be a great indicator of progress.

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Credit: Tesla

Tesla Robotaxi appears to be heading to a new U.S. city, and although the company has revealed plans to launch in six new metros this year, it has yet to establish a new location outside of Austin and the Bay Area of California, where it has operated since last Summer.

A lot full of Model Y vehicles was spotted in Henderson, a town just north of Las Vegas, but there seems to be more than just this hint indicating that the Sin City will be the next location to offer potentially driverless rides in a Tesla using its Full Self-Driving suite.

These Model Ys are not your typical vehicles, as they are fitted with hardware that is only on Robotaxis: a rear camera washer is the dead giveaway:

The photos and video of the lot were taken by TheZacher on X, who spotted the Model Y fleet in the Henderson parking lot.

The rear camera washer is the main piece of evidence here that indicates Tesla could be looking to expand Robotaxi to Las Vegas, a major ride-hailing hot spot, as it is one of the biggest tourist attractions in the United States. Ride-sharing is a major industry in Vegas, especially for those who are staying off the Strip.

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Tesla has also been extremely transparent that Vegas is on its radar for the Robotaxi fleet, as it revealed last year that it was one of five new U.S. cities that it planned to launch the ride-hailing service in this year.

Tesla confirms Robotaxi is heading to five new cities in the U.S.

The others were Phoenix, Dallas, Houston, and Miami.

Things are expanding for Robotaxi, but the big sign that it is really moving along greatly will be with the expansion to a new city. Tesla has not gone outside of Austin or the Bay Area as of yet, and launching in a new city will be a great indicator of progress.

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It will also give Tesla a new benchmark against rival company Waymo, which has operated in Las Vegas for some time.

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