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.
SpaceX is gearing up for the 13th Starship integrated flight test, which is currently scheduled for Thursday, July 16, with the launch window opening up at 6:30 PM E.T. from Starbase in South Texas.
This mission, the second with the V3 Starship and Super Heavy vehicles, builds directly on the foundation of Flight 12 while introducing ambitious new objectives, including the debut deployment of next-generation Starlink V3 satellites.
The rapid iteration between flights underscores SpaceX’s “fail fast, learn faster” philosophy, with engineers addressing specific anomalies from the previous test to push reusability and payload capabilities further.
Starship’s thirteenth flight test is preparing to launch as early as Thursday, July 16 → https://t.co/Rp7VwBzpWx pic.twitter.com/jdpFlQUEpF
— SpaceX (@SpaceX) July 11, 2026
Flight 12 occurred earlier in 2026 and encountered notable challenges that became catalysts for Flight 13’s improvements. Issues included booster course deviations during the flip maneuver after stage separation, reusability problems with Super Heavy’s Raptor engine relights for the boostback burn, and an engine-out event on the Starship upper stage during its propulsion phase.
These hiccups, while they did not prevent overall mission success, highlighted areas needing refinement for more consistent performance and higher safety margins in future operational flights.
Elon Musk called it Epic: The full story of SpaceX’s Starship Flight 12
In response, SpaceX implemented a comprehensive suite of both hardware and software upgrades.
For the booster, engineers developed a more robust stage separation flip sequence to maintain stable orientation and prevent off-course rotation. Hardware modifications have enhanced Raptor re-light reliability during the boostback burn, complemented by updated engine alarms and abort logic tailored for multi-engine operations. On the Starship side, propulsion system changes directly tackle the Flight 12 engine-out scenario, improving redundancy and operational resilience.
Another major focus of SpaceX for Flight 13 was the advancements in the heat shield. New tile designs and attachment mechanisms, including tests of aft flaps and skirts, aim to boost durability.
Load-sensing tiles will measure real-time stresses during atmospheric entry, while white-painted tiles simulate missing ones as imaging targets. Six of the 20 Starlink V3 satellites carried aboard will feature specialized cameras to scan and transmit heat shield imagery back to ground teams, providing critical data for future return-to-launch-site attempts.
The mission profile also includes a higher dynamic pressure ascent to stress-test the thermal protection system and increase payload potential, alongside a planned in-space Raptor engine relight demonstration.
The V3 Starlink satellites themselves mark a leap forward, equipped with laser links, deployable solar arrays, and improved antennas to expand network capacity and speeds.
The company wrote:
“For the first time, Starship will carry V3 Starlink satellites to space, which aim to greatly expand the network’s capacity and user speeds. As part of this initial test, Starship is planned to deploy 20 satellites which will extend solar arrays and antennas and will attempt to connect with ground stations in South Africa and the larger Starlink constellation via high-capacity lasers. Six of the satellites have been modified with a suite of cameras to scan Starship’s heat shield and transmit imagery down to operators to continue testing methods of analyzing Starship’s heat shield readiness for return to launch site on future missions. Several tiles on Starship have been painted white to simulate missing tiles and serve as imaging targets in the test.”
This dual-purpose flight tests both vehicle reliability and satellite tech in one integrated operation.
These iterative changes, catalyzed by Flight 12’s data, position Starship closer to rapid reusability goals essential for ambitious programs like Artemis lunar missions and global Starlink coverage.
As SpaceX continues its aggressive test cadence, Flight 13 exemplifies how targeted engineering responses to real-flight anomalies accelerate progress toward fully operational, high-cadence launches. Success here could mark another milestone in the Starship program for SpaceX.
Tesla received a price target upgrade just on the heels of what was a crazy successful quarter for its automotive business, as the company reported a delivery beat of over 15 percent for Q2.
Jefferies analysts are upping Tesla’s price target (NASDAQ: TSLA) to $400 from $375, while maintaining their “Hold” rating on shares, and the strong automotive deliveries from Q2 is a big reason. However, there are some other catalysts that Jefferies believes position Tesla for a strong position in the second half of the year.
Strong Deliveries
Tesla reported 480,000 deliveries for Q2, while Wall Street was between 395,000 and 405,000, as an overall consensus. It was an incredibly strong quarter from a delivery perspective, and Tesla sold well more than it produced during the three months.
Tesla crushes Wall Street expectations, beats delivery estimates by over 15 percent
While vehicle deliveries are not necessarily looked at in the light that they used to be, Tesla still maintains a lot of advantages for keeping deliveries strong. With the loss of the $7,500 EV Tax Credit last year, Tesla still maintains a strong demand case for its EVs.
Robotaxi Performance
Tesla has been operating Robotaxi for over a year now, as it launched in Austin in mid-2025. That program has expanded to Houston and Dallas, the San Francisco Bay Area, and, most recently, Miami, Florida, the suite’s first appearance in the Sunshine State.
While the Robotaxi suite is still in its early phases and Tesla is working through things like fleet size and wait times, the company has been able to undercut the pricing of its competitors and has a great safety record.
Merger Speculation with Tesla and SpaceX
This is perhaps the biggest topic that many are speaking about with Tesla and SpaceX, and it is the one thing that seems to be on the mind of every investor.
Jefferies warns that growing talk of a Tesla-SpaceX merger could cause Tesla stock to trade more like a SpaceX proxy, which may disconnect it from underlying automotive fundamentals. SpaceX has a lot going for it, especially its compute deals that have been widely publicized as of late.
Profitability in New Projects Could Take Some Time
Tesla has a few long-term ventures in the pipeline, most notably the Optimus project and Robotaxi, which is launched but will take several years to expand to a meaningful level that resonates with everyday people.
This is something that investors need to be careful of. Tesla’s projects could take some time to round out, so Jefferies advises that these may carry initial losses, rather than immediate profit. Seasoned Tesla investors have echoed something like this for a long time; they knew going in it would not be an open-and-shut strategy. It was going to take time.
These new projects are no different.
News
Tesla readies its autonomous Cybercab and Robotaxi cleaning service
A Texas permit just confirmed Tesla’s cleaning robot is coming to service its Cybercab and Robotaxi fleet.
A routine Texas building permit may have quietly confirmed that Tesla’s robot vacuum and autonomous cleaning bot for the Robotaxi and Cybercab is coming. A state filing with the Texas Department of Licensing and Regulation, as first discovered by Tesla enthusiast Spencer and posted to X, that project number TABS2025022006, lists the scope of work at Tesla’s Austin Robotaxi hub at 5900 E Ben White Blvd to include a “Cleaning Robot” alongside Supercharger cabinets and an Equipment Inspection System.
Tesla first showed the cleaning robot publicly on January 31, 2025, posting a short video on X with the caption “This robot sucks,” showing a large robotic arm inside a Cybercab cabin switching between attachments to vacuum debris, pick up trash, and wipe down surfaces.
The operational case for this hardware comes down to mathematics. A robotaxi running rides across Austin needs to cycle passengers continuously to generate revenue. Every minute a vehicle sits waiting for a human cleaning crew is a minute it is not earning. A robotic arm that can fully clean a Cybercab cabin between rides in under two minutes removes one of the key bottlenecks in fleet utilization that no autonomous vehicle company has yet solved at scale.
This robot sucks pic.twitter.com/VUmGfCM5B3
— Tesla (@Tesla) January 31, 2025
The 5900 E Ben White Blvd address sits roughly 12 miles southwest of Gigafactory Texas, where Tesla has been mass producing its Cybercab. The Ben White facility is expected to functions as Tesla’s Austin Robotaxi Hub, the physical base of operations where fleet vehicles return between rides to charge, get cleaned, and undergo inspection before being dispatched again – and all autonomously. One can imagine a Cybercab dropping off a passenger, routes itself back to Ben White, pulls into the cleaning station, charges on one of the Supercharger cabinets listed in the same permit, passes the equipment inspection system, and returns to service, all without a human making a single decision.
The sighting activity around both locations has accelerated in parallel with production. By mid-March 2026, Cybercabs were spotted regularly on public roads across Austin and Silicon Valley. Tesla’s Robotaxi operations in Texas has expanded to cover the entire Austin metro area and has spread to Dallas, while autonomous Cybercab employee shuttle runs at Gigafactory Texas are also set to begin soon. What it represents is the physical infrastructure behind a fleet that Tesla intends to run without anyone cleaning, driving, or dispatching it by hand.
SpaceX comes with a slew of changes for Starship Flight 13
Tesla gets price target upgrade on heels of crazy successful auto quarter
