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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Waymo rider data hints that Tesla’s Cybercab strategy might be the smartest, after all
These observations all but validate Tesla’s controversial two-seat Cybercab strategy, which has caught a lot of criticism since it was unveiled last year.
Toyota Connected Europe designer Karim Dia Toubajie has highlighted a particular trend that became evident in Waymo’s Q3 2025 occupancy stats. As it turned out, 90% of the trips taken by the driverless taxis carried two or fewer passengers.
These observations all but validate Tesla’s controversial two-seat Cybercab strategy, which has caught a lot of criticism since it was unveiled last year.
Toyota designer observes a trend
Karim Dia Toubajie, Lead Product Designer (Sustainable Mobility) at Toyota Connected Europe, analyzed Waymo’s latest California Public Utilities Commission filings and posted the results on LinkedIn this week.
“90% of robotaxi trips have 2 or less passengers, so why are we using 5-seater vehicles?” Toubajie asked. He continued: “90% of trips have 2 or less people, 75% of trips have 1 or less people.” He accompanied his comments with a graphic showing Waymo’s occupancy rates, which showed 71% of trips having one passenger, 15% of trips having two passengers, 6% of trips having three passengers, 5% of trips having zero passengers, and only 3% of trips having four passengers.
The data excludes operational trips like depot runs or charging, though Toubajie pointed out that most of the time, Waymo’s massive self-driving taxis are really just transporting 1 or 2 people, at times even no passengers at all. “This means that most of the time, the vehicle being used significantly outweighs the needs of the trip,” the Toyota designer wrote in his post.
-->Cybercab suddenly looks perfectly sized
Toubajie gave a nod to Tesla’s approach. “The Tesla Cybercab announced in 2024, is a 2-seater robotaxi with a 50kWh battery but I still believe this is on the larger side of what’s required for most trips,” he wrote.
With Waymo’s own numbers now proving 90% of demand fits two seats or fewer, the wheel-less, lidar-free Cybercab now looks like the smartest play in the room. The Cybercab is designed to be easy to produce, with CEO Elon Musk commenting that its product line would resemble a consumer electronics factory more than an automotive plant. This means that the Cybercab could saturate the roads quickly once it is deployed.
While the Cybercab will likely take the lion’s share of Tesla’s ride-hailing passengers, the Model 3 sedan and Model Y crossover would be perfect for the remaining 9% of riders who require larger vehicles. This should be easy to implement for Tesla, as the Model Y and Model 3 are both mass-market vehicles.
Elon Musk
Elon Musk and James Cameron find middle ground in space and AI despite political differences
Musk responded with some positive words for the director on X.
Avatar director James Cameron has stated that he can still agree with Elon Musk on space exploration and AI safety despite their stark political differences.
In an interview with Puck’s The Town podcast, the liberal director praised Musk’s SpaceX achievements and said higher priorities must unite them, such as space travel and artificial intelligence. Musk responded with some positive words for the director on X.
A longtime mutual respect
Cameron and Musk have bonded over technology for years. As far back as 2011, Cameron told NBC News that “Elon is making very strong strides. I think he’s the likeliest person to step into the shoes of the shuttle program and actually provide human access to low Earth orbit. So… go, Elon.” Cameron was right, as SpaceX would go on to become the dominant force in spaceflight over the years.
Even after Musk’s embrace of conservative politics and his roles as senior advisor and former DOGE head, Cameron refused to cancel his relationship with the CEO. “I can separate a person and their politics from the things that they want to accomplish if they’re aligned with what I think are good goals,” Cameron said. Musk appreciated the director’s comments, stating that “Jim understands physics, which is rare in Hollywood.”
Shared AI warnings
Both men have stated that artificial intelligence could be an existential threat to humanity, though Musk has noted that Tesla’s products such as Optimus could usher in an era of sustainable abundance. Musk recently predicted that money and jobs could become irrelevant with advancing AI, while Cameron warned of a deeper crisis, as noted in a Fox News report.
-->“Because the overall risk of AI in general… is that we lose purpose as people. We lose jobs. We lose a sense of, ‘Well, what are we here for?’” Cameron said. “We are these flawed biological machines, and a computer can be theoretically more precise, more correct, faster, all of those things. And that’s going to be a threshold existential issue.”
He concluded: “I just think it’s important for us as a human civilization to prioritize. We’ve got to make this Earth our spaceship. That’s really what we need to be thinking.”
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Blue Origin announces Super-Heavy New Glenn 9×4 to Rival SpaceX Starship
The announcement followed the company’s successful NG-2 launch on November 13.
Blue Origin has revealed plans to develop New Glenn 9×4, a “super heavy” rocket designed to deliver 70 metric tons to low-Earth orbit and directly compete with SpaceX’s Starship.
The announcement followed the company’s successful NG-2 launch on November 13, which deployed NASA’s ESCAPADE (Escape and Plasma Acceleration Dynamics Explorers) Mars mission and landed the first stage.
Upgraded engines and reusability
As noted in a Universe Today report, Blue Origin will roll out upgraded BE-4 engines producing 640,000 lbf each, up from 550,000 lbf, starting with NG-3. This should boost the New Glenn rocket’s total first-stage thrust to 4.5 million pounds. Upper-stage BE-3U engines are expected to improve from 320,000 lbf to 400,000 lbf over the next few flights as well.
“These enhancements will immediately benefit customers already manifested on New Glenn to fly to destinations including low-Earth orbit, the Moon, and beyond. Additional vehicle upgrades include a reusable fairing to support increased flight rates, an updated lower-cost tank design, and a higher-performing and reusable thermal protection system to improve turnaround time,” Blue Origin noted.
New Glenn “Super Heavy” 9×4
The super-heavy New Glenn 9×4, with nine BE-4s on the booster, four BE-3Us on the upper stage, will feature an 8.7-meter payload fairing. Blue Origin expects New Glenn 9×4 to be capable of transporting 70 metric tons to LEO, 14 tons to GSO, and 20 tons to trans-lunar injection, as noted by the company in a blog post. This is very impressive, as New Glenn 9×4’s capacity exceeds Falcon Heavy, SpaceX’s largest rocket available to consumers today. Falcon Heavy is capable of carrying up to 64 metric tons to low Earth orbit in a fully expendable configuration.
-->That being said, SpaceX’s Starship’s capacity is extremely impressive. As per SpaceX, Starship is designed to be capable of carrying up to 100-150 metric tonnes to orbit in its fully reusable configuration. At its expendable configuration, Starship’s capacity enters unheard-of territory, with SpaceX stating that the vehicle could transport 250 metric tonnes of cargo.
Waymo rider data hints that Tesla’s Cybercab strategy might be the smartest, after all
Elon Musk and James Cameron find middle ground in space and AI despite political differences
