News
Tesla’s damage monitoring patent hints at cars driving to repair centers autonomously
Despite being cutting-edge machines that could be described as “the most fun thing” that anyone can possibly buy, Tesla’s electric cars are still subjected to a great deal of stress during operation. Electric cars have fewer moving parts than their fossil fuel-powered counterparts, but nevertheless, the components that move, such as their electric motors and suspension, are still subject to different types of stress.
One of Tesla’s recently published patent applications, titled “System and Method for Monitoring Stress Cycles,” discusses this particular issue. As noted by the electric car maker, machines may heat up or cool down, or speed up and slow down at different times during operation, resulting in thermal and mechanical stress. Over time, such stress could result in decreased performance, which is referred to as damage.
Damages are costly and hazardous. Stress-related damage results in equipment downtime, performance degradation, safety hazards, and maintenance expenses, to name a few. In the case of Tesla’s electric cars, these damages can cause breakdowns, or worse, accidents. To prevent this, strategies are usually employed to detect and address stress-related damage, such as repairing damaged parts or replacing components at set intervals. Tesla notes in its patent application that both practices are time-consuming and costly.
“Even regular inspections may not provide adequate protection against stress-related damage. For example, the inspections may not provide sufficient insight into the characteristics of the stresses imposed on a given component to accurately assess its condition. Moreover, the inspections themselves may be burdensome and costly,” the company wrote.
With this in mind, there is a need for a system that can detect and address stress-related damage in a more efficient and cost-effective manner.
Tesla’s recently published patent application outlines a system involving a processor configured to monitor stress imposed on subsystems while determining the cumulative damage to a vehicle’s systems. Tesla notes that a stress monitoring system would work optimally if the processor is configured to monitor stress cycles in real-time, allowing the system to avoid using too much memory in the process. Tesla describes the concept in the following discussion.
“To address these challenges, processor 140 may be configured to monitor stress cycles in real-time. For example, processor 140 may identify and record stress cycles concurrently while receiving the series of stress values from stress sensors 131-139. In some embodiments, for each received stress value in the series of stress values, processor 140 may perform one or more operations to determine whether a stress cycle has been completed. When processor 140 detects the end of a stress cycle, processor 140 may record the stress cycle immediately, such that the cumulative damage model can be continuously updated to reflect the latest recorded stress cycle.
“In some examples, real-time monitoring of stress cycles may be performed without storing the series of stress values in memory 150. For example, rather than storing a complete series of stress values for later data processing, a comparatively small number of stress values may be stored temporarily to track in-progress stress cycles, but other stress values may be discarded as soon as they are received. Accordingly, the amount of memory used during real-time monitoring of stress cycles may be reduced in comparison to alternative approaches.”
Adopting such a system gives notable benefits to electric car owners. By using a real-time monitoring model, for one, drivers would be notified by their vehicles once a component needs maintenance. In some instances, the car could immediately send stress and damage data to the company. Taking the concept even further, Tesla notes that a vehicle equipped with autonomous driving features would be able to drive itself to a service center when it needs repairs.
“In some embodiments, an operator of vehicle 110 may be notified when damage to subsystems 121-129 is detected. For example, the operator may be alerted when the level of damage reaches a predetermined threshold, such that the operator may take an appropriate remedial action (e.g., bringing vehicle 110 in for maintenance). In one illustrative example, when the level of damage is represented as a damage fraction, the operator may be alerted when the fractional damage to a given subsystem reaches 70%. In some examples, the alert may be communicated to the operator via a dashboard 160 (and/or another suitable control/monitoring interface) of vehicle 110.
“In some examples, processor 140 may be coupled to one or more external entities over a network 170. Accordingly, processor 140 may be configured to send stress cycle and/or damage data over network 170 to various recipients. For example, processor 140 may send stress cycle and/or damage data to a service center, such that service center may contact the operator to schedule a maintenance appointment when a damaged subsystem is identified. Additionally or alternately, when vehicle 1 10 is an autonomous vehicle, vehicle 110 may be instructed to drive autonomously to service center for repairs.”
Tesla is arguably one of the most proactive companies in the auto industry. For example, automotive teardown expert Sandy Munro has already dubbed the company’s batteries as the best in the market today, but Tesla’s Automotive President Jerome Guillen has stated that the company is still constantly making its batteries even better. In an interview with CNBC, Guillen pointed out that the design of Tesla’s battery cells is “not frozen.” With this in mind, it is not very surprising to see Tesla exploring proactive new ways to figure out more effective ways to monitor damages on its electric vehicles.
Tesla’s constant initiative to improve is teased somewhat in the patent applications from the company that has been published over the past few months. Among these include an automatic tire inflation system that teases off-road capabilities for the company’s vehicles, a system that addresses panel gaps during vehicle assembly, a way to create colored solar roof tiles, and even a system that uses electric cars as a way to improve vehicle positioning.
The full text of Tesla’s recently published patent application could be accessed here.
News
Elon Musk says he’s open to powering Apple’s Siri with xAI’s Grok
Siri, one of the first intelligent AI assistants in the market, has become widely outdated and outperformed by rivals over the years.
Elon Musk says he’s willing to help Apple overhaul Siri by integrating xAI’s Grok 4.1, igniting widespread excitement and speculations about a potential collaboration between the two tech giants.
Siri, one of the first intelligent AI assistants in the market, has become widely outdated and outperformed by rivals over the years.
Musk open to an Apple collaboration
Musk’s willingness to team up with Apple surfaced after an X user suggested replacing Siri with Grok 4.1 to modernize the AI assistant. The original post criticized Siri’s limitations and urged Apple to adopt a more advanced AI system. “It’s time for Apple to team up with xAI and actually fix Siri. Replace that outdated, painfully dumb assistant with Grok 4.1. Siri deserves to be Superintelligent,” the X user wrote.
Musk quoted the post, responding with, “I’m down.” Musk’s comment quickly attracted a lot of attention among X’s users, many of whom noted that a Grok update to Siri would be appreciated because Apple’s AI assistant has legitimately become terrible in recent years. Others also noted that Grok, together with Apple’s potential integration of Starlink connectivity, would make iPhones even more compelling.
Grok promises major Siri upgrades
The enthusiasm stems largely from Grok 4.1’s technical strengths, which include stronger reasoning and improved creative output. xAI also designed the model to reduce hallucinations, as noted in a Reality Tea report. Supporters believe these improvements could address Apple’s reported challenges developing its own advanced AI systems, giving Siri the upgrade many users have waited years for.
Reactions ranged from humorous to hopeful, with some users joking that Siri would finally “wake up with a personality” if paired with Grok. Siri, after all, was a trailblazer in voice assistants, but it is currently dominated by rivals in terms of features and capabilities. Grok could change that, provided that Apple is willing to collaborate with Elon Musk’s xAI.
News
Tesla’s top-rated Supercharger Network becomes Stellantis’ new key EV asset
The rollout begins in North America early next year before expanding to Japan and South Korea in 2027.
Stellantis will adopt Tesla’s North American Charging System (NACS) across select battery-electric vehicles starting in 2026, giving customers access to more than 28,000 Tesla Superchargers across five countries.
The rollout begins in North America early next year before expanding to Japan and South Korea in 2027, significantly boosting public fast-charging access for Jeep, Dodge, and other Stellantis brands. The move marks one of Stellantis’ largest infrastructure expansions to date.
Stellantis unlocks NACS access
Beginning in early 2026, Stellantis BEVs, including models like the Jeep Wagoneer S and Dodge Charger Daytona, will gain access to Tesla’s Supercharger network across North America. The integration will extend to Japan and South Korea in 2027, with the 2026 Jeep Recon and additional next-generation BEVs joining the list as compatibility expands. Stellantis stated that details on adapters and network onboarding for current models will be released closer to launch, as noted in a press release.
The company emphasizes that adopting NACS aligns with a broader strategy to give customers greater freedom of choice when charging, especially as infrastructure availability becomes a deciding factor for EV buyers. With access to thousands of high-speed stations, Stellantis aims to reduce range anxiety and improve long-distance travel convenience across its global portfolio.
Tesla Supercharger network proves its value
Stellantis’ move also comes as Tesla’s Supercharger system continues to earn top rankings for reliability and user experience. In the 2025 Zapmap survey, drawn from nearly 4,000 BEV drivers across the UK, Tesla Superchargers were named the Best Large EV Charging Network for the second year in a row. The study measured reliability, ease of use, and payment experience across the country’s public charging landscape.
Tesla’s UK network now includes 1,115 open Supercharger devices at 97 public locations, representing roughly 54% of its total footprint and marking a 40% increase in public availability since late 2024. Zapmap highlighted the Supercharger network’s consistently lower pricing compared to other rapid and ultra-rapid providers, alongside its strong uptime and streamlined user experience. These performance metrics further reinforce the value of Stellantis’ decision to integrate NACS across major markets.
News
Tesla FSD and Robotaxis are making people aware how bad human drivers are
These observations really show that Tesla’s focus on autonomy would result in safer roads for everyone.
Tesla FSD and the Robotaxi network are becoming so good in their self-driving performance, they are starting to highlight just how bad humans really are at driving.
This could be seen in several observations from the electric vehicle community.
Robotaxis are better than Uber, actually
Tesla’s Robotaxi service is only available in Austin and the Bay Area for now, but those who have used the service have generally been appreciative of its capabilities and performance. Some Robotaxi customers have observed that the service is simply so much more affordable than Uber, and its driving is actually really good.
One veteran Tesla owner, @BLKMDL3, recently noted that the Robotaxi service has become better than Uber simply because FSD now drives better than some human drivers. Apart from the fact that Robotaxis allow riders to easily sync their phones to the rear display, the vehicles generally provide a significantly more comfortable ride than their manually-driven counterparts from Uber.
FSD is changing the narrative, one ride at a time
It appears that FSD V14 really is something special. The update has received wide acclaim from users since it was released, and the positive reactions are still coming. This was highlighted in a recent post from Tesla owner Travis Nicolette, who shared a recent experience with FSD. As per the Tesla owner, he was quite surprised as his car was able to accomplish a U-turn in a way that exceeded human drivers.
Yet another example of FSD’s smooth and safe driving was showcased in a recent video, which showed a safety monitor of a Bay Area Robotaxi falling asleep in the driver’s seat. In any other car, a driver falling asleep at the wheel could easily result in a grave accident, but thanks to FSD, both the safety monitor and the passengers remained safe.
These observations, if any, really show that Tesla’s focus on autonomy would result in safer roads for everyone. As per the IIHS, there were 40,901 deaths from motor vehicle crashes in the United States in 2023. The NHTSA also estimated that in 2017, 91,000 police-reported crashes involved drowsy drivers. These crashes led to an estimated 50,000 people injured and 800 deaths. FSD could lower all these tragic statistics by a notable margin.
Elon Musk says he’s open to powering Apple’s Siri with xAI’s Grok
Tesla’s top-rated Supercharger Network becomes Stellantis’ new key EV asset
