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Tesla FSD Beta V11 release gets the “next week” treatment from Musk

Credit: Drive in EV/Twitter

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Elon Musk has posted a quick update on the potential rollout of FSD Beta V11, the highly-anticipated update to the electric vehicle maker’s advanced driver-assist suite. As confirmed by the CEO, FSD Beta V11 is quite remarkable as it uses a single software stack for both highway and inner-city driving. 

Musk’s recent comments were shared on Twitter. Amidst the ongoing controversy behind his decision to suspend a number of notable journalists on the social media platform over alleged violations of Twitter’s doxxing policy, Musk was asked about the highly-anticipated FSD Beta update. 

When asked by the Tesla Owners Silicon Valley group if FSD Beta V11 is still expected to be rolled out before Christmas, Musk noted that the update should release “next week.” While such a timeframe may seem exciting, Musk’s “next week” estimate has become an inside joke of sorts among those who closely follow Tesla. Musk, after all, has missed estimates for V11’s release in the past. 

Musk noted last month that the initial rollout of FSD Beta V11 started on 11/11/2022 at 11:11 p.m. PST. Musk later stated that Tesla was looking to release FSD Beta V11 before Thanksgiving. The holiday came and went, and no V11 wide rollout happened. The delay seemed a bit understandable, however, since Tesla did conduct a wide release of FSD Beta to its fleet — it was just V10.69.3.1, not V11. 

Due to FSD Beta V11’s initial release being over a month ago, the update’s full release notes have already been shared online. If the release notes are any indication, it would definitely seem that the highly-anticipated update would be well worth the wait. Following are FSD Beta V11’s release notes, as shared by Tesla enthusiasts online. 

-Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. FSD Beta’s multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making.

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– Improved Occupancy Network’s recall for close by obstacles and precision in severe weather conditions with 4x increase in transformer spatial resolution, 20% increase in image featurizer capacity, improved side camera calibration, and 260k more video training clips (real-world and simulation).

– Improved merging behavior by leveraging lane geometry and lane bounds, association with coarse map information and better gap selection algorithms, allowing for a smoother and safer experience.

– Added highway behavior to offset away from blocked lanes and generic obstacles like road debris while also adding a smooth hand- off between in-lane offsetting and lane changing.

– Improved speed-based lane change decisions to better avoid slowing down traffic in fast lanes, and interfere less with navigation.

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– Reduced sensitivity for speed-based lane changes in CHILL mode.

– Improved lane changes to allow higher jerk maneuvers if required to stay on-route or to move away from lane blockages.

– Improved smoothness at highway lane splits by being less strict about centering between lane lines and allowing lower jerk maneuvers, where safe to do so.

– Reduced latency of trajectory optimization by 20% on average, without sacrificing behavior, by leveraging numerical tricks for more efficient computations.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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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Tesla Cybercab gets huge nod of support from Texas DOT official

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Credit: Tesla

The Tesla Cybercab got a huge nod of support from a Texas Department of Transportation official, who said the all-electric ride-hailing vehicle is “a tangible example of how quickly our transportation system is evolving.”

The Cybercab was present at the Texas Department of Transportation’s Texas Innovation Invitational, an event held each year that allows innovative companies to showcase advancements in transportation.

Tesla Cybercab specs revealed: range, curb weight, range ratings, and more

Marc Williams, the Texas Department of Transportation’s Executive Director, sat in a Cybercab and shared his thoughts in an extensive post on LinkedIn.

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Williams’s comments show how Tesla, with its Cybercab, is leading the charge of passenger travel and how it’s changing so rapidly. He notes the absence of traditional driving controls as a telltale sign that the Cybercab is a catalyst for major automotive change, taking controls from drivers and turning them into full-time passengers.

“Observing this vehicle firsthand–from its design and butterfly doors to the cargo trunk configuration–provides a tangible example of how quickly our transportation system is evolving. Sitting inside the cabin, the complete absence of traditional driver controls underscores a significant shift in mobility and vehicle design. No steering wheel, no accelerator, no brake. Only a single touchscreen monitor.”

Tesla has had a great relationship with the State of Texas, especially with its Robotaxi ambitions. Currently, Texas has Tesla Robotaxi operating in multiple cities: Dallas, Austin, San Antonio, and Houston. The company’s main manufacturing plant is also located just outside Austin, and Tesla moved its headquarters to the state several years ago.

The Cybercab is a purpose-built, fully autonomous, two-passenger Robotaxi vehicle designed specifically for ride-hailing services. Tesla has said for years it would be built without a steering wheel or pedals present, although there is still quite a bit of debate among the community regarding that potential.

Earlier this week, we received official word that the EPA had provided the Cybercab with a Certificate of Conformity, giving Tesla permission to enter the vehicle into the chain of public commerce. It is officially ready for roads.

The big question for Tesla remains: Can it solve self-driving before the steering-wheel-less Cybercab officially enters production?

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