News
SpaceX installs Starship Mk1 rocket’s flaps for the second time in build-up to flight debut
A little over a month after SpaceX CEO Elon Musk presented an update on Starship in Boca Chica, Texas and technicians dressed the rocket up for the show, SpaceX has begun to install Starship Mk1’s flaps for the second time.
This time, with any luck, those flaps are here to stay until Starship Mk1’s inaugural launch debut, an ambitious flight test with a target altitude of 20 km (12 mi).
Around the second half of September, SpaceX technicians appeared to begin working around the clock to fully assemble Starship, outfitting the exterior with the beginnings of plumbing, power lines, and avionics harnesses, stacking the Mk1 prototype’s two halves, and installing the vehicle’s large fore and aft flaps. During SpaceX CEO Elon Musk’s September 28th Starship update, what looked to be the largely finished Starship Mk1 served as the main backdrop – an undeniably impressive one, at that.
As would soon become clear, SpaceX’s September 2019 Starship Mk1 integration was actually more of a mock-assembly – all the parts involved appear to genuinely be real flight hardware, but almost all of it was only temporarily attached to Starship to give the partial appearance of a finished ship. By October 1st, technicians began removing Starship Mk1’s four flaps, flap shrouds, and leg shrouds, finally culminating in the separation of the rocket prototype’s upper and lower halves.
The fact that neither Musk or SpaceX spokespersons noted that Starship wasn’t actually complete is at least a little unsavory, although it’s admittedly unsurprising given CEO Elon Musk’s known affinity for grand gestures and events. On a positive note, Starship’s mock-assembly likely served as an excellent learning experience for the Boca Chica team and thankfully only seems to have caused a week or two of delay.
Rapid progress in Boca Chica
Despite the mild disruption of dressing Starship Mk1 up for Musk’s presentation, SpaceX Boca Chica has made a huge amount of progress in the five weeks since. Barely three weeks after the rocket’s forward flaps (canards) were removed, SpaceX technicians began the reinstallation process with one major visible difference: a massive motorcycle-sized actuator.
On the first round of installations-for-show, Starship Mk1’s flaps featured no such mechanism, confirming suspicions that much of the hardware installed at the last second was not quite finished or was only being installed for Musk (and practice). The appearance of a previously unseen actuator mechanism on the first reinstalled canard suggests that this time around, SpaceX is installing Starship’s flaps with their final purpose of controlling Starship’s free-fall in mind.
Instead of copying Falcon 9’s proven method of vertical launch and vertical landing, SpaceX is taking a more radical approach with Starship that will see the spacecraft reenter Earth’s atmosphere belly-first, slow its forward speed to near-zero, and fall directly down for approximately 25 km (15.5 mi), using its flaps like a skydiver’s limbs. Perhaps just a few hundred meters above the ground, Starship will finally perform an aggressive flip maneuver, igniting its Raptors while sideways, swerving to neutralize that horizontal velocity, and finally landing on six small legs.
In this sense, although they certainly look the part, Starship’s aerodynamic control surfaces are very explicitly not wings and are instead meant to interact with the atmosphere at an almost 90-degree angle of attack (AoA). In line with that strategy, they only have to actuate with a single degree of freedom, drastically simplifying Starship’s control surfaces.
Similar to Starship Mk1’s newly filled-out canard actuators, SpaceX technicians have installed two massive hinges/mounts for Starship’s larger after flaps. Aft flap installation will likely start as soon as SpaceX technicians have installed the bulk of Starship Mk1’s external plumbing and wiring, a milestone that appears to be fast approaching.
Starship Mk1’s lower half was unexpectedly moved about a mile to SpaceX’s nearby launch facilities prior to the installation of its nose section, meaning that SpaceX will likely have to transport the nose to the launch pad for final mating. It’s unclear what tests SpaceX specifically plans to kick off Starship Mk1’s pre-flight preparations with, but it’s safe to assume that the most imminent milestone is a wet dress rehearsal (WDR), possibly preceded by a tank proof test.
The latter procedure would be designed to prove that Starship Mk1’s pressure vessel is both leakproof and structurally sound and would nominally involve filling the spacecraft’s tanks with a neutral fluid (likely water or liquid nitrogen). A WDR would see SpaceX load Starship as if preparing for launch (requiring liquid oxygen, methane, nitrogen, and helium) but stopping just prior to the engine ignition and liftoff that would otherwise follow. Although unlikely, a WDR could result in a massive fire or explosion if Starship were to lose structural integrity during the test, which is why the aforementioned neutral testing is typically performed first when handling brand new launch vehicles.
Finally, assuming Starship Mk1 successfully passes the above tests, SpaceX will use the vehicle to perform Raptor’s first triple-engine static fire test. That static fire will likely be the final major test activity before SpaceX readies Starship Mk1 for its 20-km flight debut, which will serve as a more or less full-fidelity test of Starship’s exotic skydiver-like landing.
Regardless of how exactly Starship Mk1’s imminent test campaign will play out, SpaceX has road closures scheduled on November 7th, 8th, and 12th. Right now, it’s anyone’s guess what is planned for Thursday and Friday, but it could potentially involve a tank proof test, launch pad checkouts, propellant loading, or something more benign, like transporting Starship’s nose section to the pad for final installation. Stay tuned!
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
