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Tesla Autopilot impresses in 79-minute ‘Torture Test’ through long winding roads

Credit: The Tech of Tech on YouTube

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A Tesla Model 3 owner recently tested Autopilot’s abilities on the long and winding roads of the Blue Ridge Parkway in North Carolina. The 45.9-mile trip lasted 79 minutes, giving the driver a fair amount of insight regarding Autopilot’s performance with update 2020.16.2.1.

In a later comment on Reddit, the host of Youtube’s The Tech of Tech channel stated that he decided to test Autopilot’s capabilities on rainy, foggy roads stretching across the historic Blue Ridge Parkway in North Carolina.

“I did adjust the maximum speed to accommodate visibility due to fog as Autopilot doesn’t know to just slow down- it will shut off if it can’t see far enough for the speed. However, by lowering the maximum speed to what I’d want to drive anyway, Autopilot remains engaged. Other than that, all steering, braking, acceleration, etc. is done by the car and not me,” the driver wrote.

One notable feature of the update focused on Autopilot’s capability to slow down for sharp curves, which results in safer navigation through abrupt turns. For example, on a right turn, the car will drive closer to the right edge of the pavement, which provides a safer environment if two vehicles are driving through the same curve in opposite directions.

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Tech of Tech indicates that the addition of the “Slowing for Sharp Curves” feature was the only reason the car could navigate the tricky roads of the Blue Ridge Parkway, which it did in impressive fashion.

Tesla rolled out a similar feature last year, but there were some issues with its performance that made some drivers feel uncomfortable. The company continually improved the capability, which was then released with 2020.16.2.1 to owners around May 16 this year, according to TeslaFi.com.

“This update introduced new slowing behavior. Autopilot slows much more for tight curves than before, and it does so much more smoothly than the aborted slowing behavior introduced when V10 first released,” the host said.

As could be seen in the video of the torture test, Autopilot managed to navigate through the various challenging sections of the Blue Ridge Parkway for 79 straight minutes before the car took a turn a bit too sharply, which required the driver to intervene. This instance was the only mistake that the car’s software made in almost 46 miles of driving, and that’s in questionable weather conditions and on a stretch of road that challenges even human drivers.

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Tesla’s Autopilot software continues to improve through the millions of miles of driving data that owners contribute to the company’s Neural Network. Tesla CEO Elon Musk indicated during the company’s Q1 2020 Earnings Call that the Neural Net’s training was coming along nicely and that contributions were being assessed to improve the safety and performance of the company’s driver-assist features.

“We are collecting data from over 1 million intersections every month at this point. This number will grow exponentially as more people get the update, and as more people start driving again. Soon, we will be collecting data from over 1 billion intersections per month. All of those confirmations are training on neural net, essentially, the driver when driving and taking action is effectively labeling — the labeling reality as they drive, and making the neural net better and better,” Musk said.

Watch The Tech of Tech‘s Tesla Model 3 navigate the Blue Ridge Parkway below.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla Full Self-Driving and App Connectivity save life in medical emergency

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Credit: Tesla

In a remarkable demonstration of how advanced vehicle technology can intersect with family care and rapid response, a Tesla Model Y equipped with Full Self-Driving (FSD) Supervised helped save a driver’s life during a severe heart attack. The incident, which occurred on November 15, 2025, highlights the life-saving potential of Tesla’s connected ecosystem.

John Brandt, 55, was driving his new 2026 Model Y Launch Edition on Interstate 20 from Atlanta toward Birmingham early that morning. He had recently received the FSD v14.1.3 update. Around 3:50 a.m., he began experiencing severe chest pain. Barely conscious and unable to safely control the vehicle, John managed to call his son, Jack Brandt.

FSD Supervised remained engaged, keeping the car steadily on course while John reached out for help.

As an authorized driver on his father’s Tesla account, Jack quickly sprang into action from his own phone. He located Tanner Medical Center in Carrollton, Georgia—a facility equipped for cardiac emergencies—via Google Maps and shared the destination directly through the Tesla app.

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The Model Y responded immediately, rerouting: it took the next exit, turned around on I-20, navigated local roads, and pulled directly up to the emergency room entrance. Jack also alerted hospital staff that a heart attack patient was en route in a Tesla.

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Doctors diagnosed John with a massive STEMI heart attack, requiring immediate intervention on three blocked arteries. They later confirmed that without the swift reroute, John likely would not have survived—whether he had pulled over to wait for an ambulance or attempted to continue driving. He received life-saving treatment and is now recovering fully.

Tesla shared the story on X, including an interview video featuring John and Jack reflecting on the event. John described the terrifying onset of symptoms, while Jack detailed the ease of remote intervention thanks to the app’s features. Only authorized users with vehicle access can change navigation destinations, adding a layer of security and family coordination.

This case underscores Tesla’s emphasis on connectivity and supervised autonomy. Features like remote navigation allow loved ones to assist in real-time emergencies, while FSD handles complex driving tasks reliably. Tesla notes that FSD Supervised requires active driver supervision and is not fully autonomous; this was a specific incident, not a general emergency protocol.

The story has resonated widely, with many praising Tesla’s technology for bridging gaps in critical moments. Jack previously shared details on social media in February 2026, and Tesla’s recent post has amplified its reach. As vehicles become smarter and more connected, such integrations could redefine personal safety on the road—turning cars into proactive partners in health crises.

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For Tesla owners, the incident serves as a powerful reminder to add trusted family members as authorized drivers and explore FSD capabilities. While no technology replaces professional medical care, this blend of AI-assisted driving and seamless app control proved invaluable. John’s survival stands as a testament to innovation that prioritizes human life.

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Elon Musk predicts Grok will start to challenge Hollywood by the end of 2026

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

In a bold declaration on X, xAI CEO Elon Musk announced that its model will be capable of creating full movies by the end of the year. Quoting an xAI post showcasing a stunning AI-generated trailer for Homer’s The Odyssey, Musk simply stated: “Full movies by the end of the year.”

The quoted video, created entirely with the newly released Grok Imagine Video 1.5, demonstrates the rapid strides in AI video generation. Crafted by creator David Thompson, the 2-minute-plus trailer reimagines the ancient epic in the style of a 1970s classical Hollywood blockbuster. It features 36 meticulously consistent shots that form a cohesive narrative world.

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Its realistic nature is truly mind-blowing, and it’s pretty amazing to think that it cool to think it could create an entire movie soon.

The trailer reimagines The Odyssey as a whole, and opens with a concept board outlining the vision: a retelling of the story using 35mm film aesthetics, classical framing, and other elements.

There are a handful of things that truly outline Grok’s capabilities:

  • Scale and Physics: A bloodied Spartan helmet rests on a sandy battlefield amid smoke, marching armies, and flocks of birds. Horses gallop, chariots charge, and warriors clash with believable weight and motion.
  • Emotional Depth and Dialogue: Close-ups capture intense expressions, as characters deliver lines like a warrior’s grief-stricken speech on a rocking ship.
  • Cinematic Workflow: It’s hard to believe AI created this trailer, as editing and suspense are clearly detailed in this trailer

Now, why is this a big deal? AI has been a real threat to the way movies have been made over the past several decades. It’s no secret that the various AI platforms out there are becoming more capable, but Musk has said that he believes things would be “watchable” by the end of this year, and by the end of 2027, Grok would be able to create “really good” movies.

There are several issues that remain, most notably the ability to remain cohesive throughout the length of a film, energy requirements, copyright questions for training data, and artistic intent. Hollywood has created some of the greatest cinematic masterpieces over the past 100 years, but 2026 could be the year AI not only assists but also independently authors cinema.

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Tesla patent aims to improve common on-road complaint

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Image Credit: Met God in Wilderness/YouTube

Tesla is continuing to push the boundaries of vehicle dynamics, as its latest published patent, US12654505B2, or “Suspension Actuator System for a Vehicle,’ which has finally been pushed through.

The design, which is credited to inventors Brian Lee Doorlag, Avraham Kagan, and Justin Sill, introduces a sophisticated hybrid suspension design that blends active motor-driven control with strategic passive elements to deliver superior ride quality, energy efficiency, and resilience against road imperfections, especially potholes.

At the heart of the system is an active control element powered by an electric motor. This motor drives a belt connected to a ball nut assembly and threaded screw, which adjusts the effective length of the suspension strut in real time.

By extending or retracting, the actuator can lift or lower the wheel more accurately, which can end up countering road disturbances. Sensors, including accelerometers and wheel position monitors, feed data to a suspension control system that processes inputs and commands the motor instantly.

This active component doesn’t work alone. A low-rate air spring mounts in parallel with the actuator. Its primary role is to offset much of the vehicle’s static weight, dramatically reducing the power demand on the motor.

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Without this, the active system would constantly fight gravity, draining energy and generating heat. The air spring handles steady-state loads efficiently, allowing the motor to focus on dynamic adjustments.

Complementing this is a series of passive control elementsa spring and an adaptive damper—placed between the actuator and the wheel. This setup filters high-frequency vibrations before they reach the active motor, preventing it from overworking on minor inputs. The adaptive damper, potentially magnetorheological or valve-controlled, further tunes damping electronically for optimal comfort and stability.

How It Differs from Traditional Suspensions

Traditional passive suspensions compromise between comfort and handling, while pure active systems can be power-hungry and complex. Tesla’s hybrid approach resolves this by delegating tasks: the parallel air spring manages weight and low-frequency body motions, the series elements absorb rapid vibrations, and the active actuator tackles larger, lower-frequency events.

The result is a smoother, more isolated cabin experience. High-frequency road noise and harshness diminish, while the vehicle maintains precise control during cornering or acceleration. Energy efficiency improves, too—lower motor loads mean reduced battery drain, potentially extending range in electric vehicles.

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How It Mitigates Potholes Specifically

Potholes are a major challenge because they provide a sudden drop to the wheel plunge, jarring the body of the vehicle, risking damage. The patent explicitly addresses this. Upon detecting a pothole (via sensors or predictive mapping), the control system activates

the motor to retract the strut, effectively pulling the wheel upward to minimize downward excursion. The series spring/damper cushions the impact, while the parallel air spring maintains overall support.

This proactive “wheel retraction” prevents sharp jolts, preserving passenger comfort and protecting components. Integrated with Tesla’s road roughness mapping patents, the system could anticipate potholes from fleet data, enabling preemptive adjustments for even smoother navigation.

Future Implications for Tesla Vehicles

This technology builds on Tesla’s existing adaptive dampers and air suspension that is seen in Cybertruck, but advances toward fully active control. It could roll out to future models, including refreshed Cybertrucks or next-gen vehicles, enhancing both daily drivability and off-road capability. By minimizing power use and complexity, it aligns with Tesla’s goals of efficiency and scalability.

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In summary, US12654505B2 exemplifies Tesla’s engineering philosophy: intelligent integration over brute force. This hybrid suspension promises quieter, more comfortable rides and robust pothole defense, potentially setting a new standard for automotive comfort. As Tesla iterates, drivers can look forward to roads feeling far less rough.

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