News
SpaceX’s first orbital-class Starship and Super Heavy to return to launch pad next week
CEO Elon Musk says that SpaceX could return the first orbital-class Starship prototype and its Super Heavy booster to the launch site after rolling the rockets back to the factory for finishing steps.
In response to a video of Super Heavy Booster 4 (B4) returning to the build site, Musk rather specifically stated that both Booster for and Starship 20 (S20) will return to the orbital launch pad on Monday, August 16th. SpaceX returned Ship 20 to its ‘high bay’ vertical integration facility mere hours after the Starship was stacked atop a Super Heavy booster (B4) for the first time ever on August 6th. For unknown reasons, perhaps due to high winds, Booster 4 spent another five days at the pad before SpaceX finally lifted it off the orbital launch mount and rolled it back to the high bay, where it took Ship 20’s place on August 11th.
Almost immediately after S20’s August 6th return, its six Raptor engines were removed to make way for an engine-less proof test campaign that Musk has now implied could start as early as next Monday. Mirroring S20, SpaceX also begin uninstalling Super Heavy Booster 4’s 29 Raptor engines the same day it returned to the high bay.
Around 12 hours after the process began, SpaceX appeared to have removed 14 (just shy of half) of Super Heavy B4’s Raptor engines – a pace almost as spectacular as their 12-18 hour installation a bit less than two weeks prior. Aside from making engine removal dramatically easier, Musk says that SpaceX moved Ship 20 and Booster 4 back to the build site to expedite some minor final integration work – namely “small plumbing and wiring.”
However, aside from Raptor removal, the most obvious and significant work ongoing since the pair’s return to the high bay is the process of inspecting Starship S20’s heat shield and repairing or replacing broken, chipped, and loose tiles. Not long after Ship 20 arrived back at the build site, workers in boom lifts began a seemingly arduous process of inspecting the Starship’s nose heat shield and marking – with colored tape – hundreds of tiles with cracks, chips, or other less visible issues.
After several days of inspections and hundreds of tiles marked, SpaceX finally began the process of removing off-nominal tiles early on August 12th. According to NASASpaceflight.com, that removal process is not particularly easy and can require the use of power tools to effectively cut tiles off their embedded mounting frames. Given the amount of force required, some level of care is also almost certainly needed to avoid damaging any adjacent tiles, which could quickly cause a minor misstep to exponentially spread. Nevertheless, a small team of SpaceX technicians seemingly managed to remove no less than several dozen (and maybe 100+) broken tiles in a few hours.
Up next, those removed tiles will need to be replaced. Still, it remains to be seen if SpaceX will choose to fully complete Starship S20’s “98% done” heat shield before sending the ship back to the launch site for proof and static fire testing. To a degree, putting Starship through a gauntlet of ground tests with a full heat shield installed would be an excellent test of the resilience of its thermal protection system to major thermal stresses from frosty steel skin and expansion/contraction during fueling, as well as violent vibrations during static fires.
However, Starship S20’s heat shield is already so close to completion that it might be only marginally less valuable to save time by testing the vehicle as soon as possible.
To an extent, Booster 4 is a much simpler case as Super Heavy needs to major thermal protection. However, according to Musk, some or all of Super Heavy’s 29 Raptor engines will need their own miniature thermal protection system – perhaps a flexible blanket-like enclosure not unlike what SpaceX uses to partially protect Falcon booster engines during reentry. It remains to be seen if Booster 4 will return to the launch site without engines for cryogenic proof testing or if SpaceX will install heat shielded Raptors before starting the first flightworthy Super Heavy’s first test campaign.
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
