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First look at Tesla’s adaptive suspension for the Model S and X refresh

(Credit: DÆrik/YouTube)

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A recent video from a Tesla owner-enthusiast has provided a first look at the electric car maker’s newly-introduced Adaptive Suspension system for the “Raven” Model S and Model X. When Tesla announced Adaptive Suspension, the electric car maker described it as a system designed to give drivers an “ultra-cushioned feel when cruising on the highway or using Autopilot, and a responsive, exhilarating confidence during dynamic driving.”

Tesla owner-enthusiast DÆrik was fortunate enough to get his hands on a recently-bought Tesla Model S Long Range (formerly the 100D), which was equipped with 21” wheels. A comparison between the suspension on older Model S and the new “Raven” Model S clearly showed that the new vehicle had a completely different suspension setup. Quite interestingly, the Adaptive Suspension system in the Model S Long Range looks quite similar to Maxwell Technologies’ own Active Suspension system. 

Tesla described Adaptive Suspension in the new Model S’ user manual:

“ADAPTIVE SUSPENSION DAMPING: Choose from STANDARD or SPORT to adjust the feel of the suspension system. STANDARD provides a softer and more fluid ride whereas SPORT provides a firmer, more controlled ride that increases driver engagement and connection to the road.”

A road test comparing the vibration levels of the newer Model S and an older Model S showed that the newer vehicle was capable of offering a much comfortable ride. The Tesla owner-enthusiast tested the new Model S on both Sport and Standard Adaptive Suspension settings, and both were notably smoother than the ride offered by an older Model S. The “Raven” Model S used in the test was equipped with 21” wheels as well, which are not optimized for comfort. With 19” wheels, the new Model S would likely have offered an even smoother ride.

A graph showing the difference between the vibration levels of the new ‘Raven’ Model S and an older Model S. (Credit: DÆrik/YouTube)

As with many of Tesla’s new features for its vehicles, Adaptive Suspension is specifically designed to be upgradeable through over-the-air software updates. As such, more improvements to the system could be expected in the near future.

Being closely related to the Model S and Model X’s ability to “sense” the road, the system could work very well with Tesla’s neural network improvements. Tesla describes Fully Adaptive Suspension as a system where the car’s software will determine a vehicle’s dampening based on calculations of road conditions. A neural network trained to determine these road conditions ahead of time, and then preemptively adapt the suspension without input, would be a perfect matchup for the technologies. This could ultimately ensure that when Tesla rolls out its Full Self-Driving suite, Model S and Model X owners can be assured that their ride will be as comfortable as possible.

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Watch DÆrik’s first look into Tesla’a Adaptive Suspension system in the video below.

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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SpaceX just locked up a NASA record no other U.S. spacecraft can touch

SpaceX’s Crew-13 Dragon reached the ISS in under eight hours, and NASA confirmed a record.

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SpaceX now owns every spot on the list of the five fastest trips a U.S. spacecraft has ever made to the International Space Station, and its newest entry beat the old mark by more than four hours.

Crew Dragon Grace docked to the forward port of the station’s Harmony module at 7:05 p.m. ET on October 1, just 7 hours and 55 minutes after lifting off from Space Launch Complex 40 at Cape Canaveral. NASA confirmed the milestone in a space station blog update, writing that the flight “marked the fastest launch‑to‑docking of a U.S. spacecraft in the history of the International Space Station.”

The previous U.S. record also belonged to Dragon. SpaceX’s uncrewed CRS-31 cargo mission reached the station in a little over 12 hours in November 2024. The fastest crewed trip before last week was Crew-11, which took 14 hours and 43 minutes in August 2025, according to Space.com.

A post that Elon Musk reposted on Monday filled out the rest of the ranking. Behind Crew-13, CRS-31 and Crew-11 sit Axiom’s Ax-2 mission at 15 hours and 35 minutes and NASA’s Crew-4 at 15 hours and 44 minutes. All five flew on Dragon.

SpaceX turned a heralding moment for Starship into its greatest

Crew-13 carried NASA astronauts Jessica Watkins and Luke Delaney, Canadian Space Agency astronaut Joshua Kutryk, and Roscosmos cosmonaut Sergey Teteryatnikov. NASA had projected a docking around 8 p.m. ET, as Teslarati reported the day before launch, and Dragon arrived nearly an hour early. Our launch day coverage noted that the flight was lined up to be the quickest Crew Dragon transit yet.

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The speed came from timing more than hardware. SpaceX’s Julianna Scheiman said the station “was in an opportune spot in space,” which let Dragon start closing the gap almost immediately after reaching orbit. “This is close to the fastest it could be,” she added. Most Crew Dragon flights still take close to a day, using a series of Draco thruster burns to raise and phase their orbit before arrival.

Dragon’s next job at the station is a departure. NASA said Monday it is targeting 8:05 a.m. ET on Wednesday, October 7, for Crew-12 to undock, setting up a splashdown off the coast of California around 11:34 a.m. on Thursday. Clearing that port makes room for CRS-35, a cargo Dragon carrying the final set of iROSA solar arrays.

Dragon remains NASA’s only operational ride to the station while Boeing’s Starliner stays grounded, and the agency recently added Crew-15, Crew-16 and Crew-17 to SpaceX’s contract in a $946 million modification.

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Elon Musk teases TSMC as potential Terafab partner

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SpaceX Terafab rendering
SpaceX Terafab rendering

Elon Musk has acknowledged that early discussions with Taiwan Semiconductor Manufacturing Company (TSMC) could bring the company into his ambitious Terafab semiconductor project, signaling a possible partnership with the world’s leading contract chipmaker.

Musk confirmed that early talks are underway, but as of right now, they are “just discussions.” There is no confirmation of a deal nor dismissal of the possibility of one, leaving open the prospect of one of the largest advanced-chip collaborations under discussion in the U.S.

The report that speculated on potential discussions between Terafab and TSMC comes from Tim Culpan, who outlined a few ways the collaboration could operate. One is TSMC using the project as an “anchor customer” for future facilities in Texas, potentially contributing process expertise, operational know-how, or capacity while Terafab provides capital, long-term purchase commitments, or both.

Tesla and SpaceX jointly developed the Terafab project, with Intel already participating on the tech side. Elon Musk announced the project in March, and it intends to produce more than one terawatt of AI compute capacity annually once fully built.

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Elon Musk’s Terafab project locks up massive new partner

Company statements place the first phase at approximately $16.8 billion in cost, with later filings pointing to a total that could reach well into the tens of billions across multiple stages.

Intel joined the effort in April 2026 and is expected to supply its 14A manufacturing process for the full-scale plant.

Musk has said existing suppliers, including Samsung and TSMC, remain important for near-term needs; Tesla already has production arrangements with Samsung for AI5 and AI6 chips, but that future demand from Optimus robots, Cybercab vehicles, and planned space-based data centers will eventually exceed what the global industry can currently deliver.

Terafab is positioned as the long-term answer to that projected shortfall, and Tesla did something similar during COVID to avoid a chip shortage. This is just a much larger-scale solution.

If the partnership were to materialize, it would add TSMC’s industry-leading strategies to a project that already combines Tesla’s and SpaceX’s capital and offtake with Intel’s process technology. For now, the only public confirmation is Musk’s brief acknowledgement that conversations are occurring.

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Tesla reveals early Robotaxi charging strategy, showing scrappy DNA

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Credit: Tesla

Tesla’s early strategy for charging units operating within its Robotaxi fleet reveals that the company surely has not lost any of that scrappy DNA that took it from an unlikely success story to the most valuable carmaker in the world.

An observer at a Tesla Supercharger in Austin spotted ten total Robotaxi vehicles arrive: one Cybercab and nine Model Y units. A Tesla employee was waiting at the lot and allowed each unit to park itself; every car that arrived had nobody in it.

Tesla wins FCC approval for wireless Cybercab charging system

The Tesla employee would walk around and plug each car in, adjusting the parking if needed:

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It’s a very interesting strategy, but extremely understandable at this early point in the Robotaxi program. It’s only been out for about 15 months, and Cybercab just entered the fleet in early September.

On top of that, Tesla is still working tirelessly on its wireless charging apparatus, and a new patent was just published regarding that product last week.

However, this is just another example of how Tesla still has plenty of that scrappy DNA leftover from the “production hell” days, when CEO Elon Musk slept on the floor of the factory, employees were working crazy hours, Tesla was building Sprung Structures to build cars in, and the company was tiptoeing on the brink of bankruptcy.

For now, Tesla is utilizing a simple system for recharging its ride-hailing vehicles, and that is a Tesla employee doing it manually until another solution presents itself. Sure, it’s not the most high-tech thing, and it certainly is not what people might have expected at this point in time, but it works, and it’s keeping the entire suite running.

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