News
SpaceX reveals new details on Starship’s third test flight
SpaceX has revealed some new information regarding the third test flight of its massive Starship rocket.
The flight, which took place from Starbase, Texas, yesterday morning at 8:25 am CT, capitalized on previous test flights and accomplished a host of new objectives.
All 33 Raptor engines lit in a staggered sequence, and once throttled up, the world’s biggest rocket took flight for the third time.
All 33 Raptor engines burning (Credit: SpaceX)
As Starship climbed into the South Texas skies, the 33 engines continued to operate nominally until the hot stage separation, in which 30 of Super Heavy’s engines shut down as Starship lit its 3 sea-level and 3 vacuum Raptor engines and continued to space.
For the first time, the Super Heavy first stage, Booster 10, successfully performed a boost back burn and aimed for a splashdown just East of the launch pad in the Gulf of Mexico. According to the data displayed on the webcast, the booster reached a peak speed of 5750 km/h and an altitude of 106 km.
Super Heavy performing the boost backburn while Starship heads down range (Credit: SpaceX)
Unlike the Falcon 9, the Super Heavy is so big it does not need to do an entry burn however in one of the last bits of data available on the webcast, it showed the booster attempted to begin its landing burn around 1 km in altitude with only 3 engines lighting and 2 shutting off almost immediately after.
SpaceX has since confirmed that Booster 10 experienced a rapid unscheduled disassembly just 462 meters above the water’s surface, and it is likely that what remained of the booster hit the water at nearly the speed of sound.
While Booster 10 was meeting its fate in the Gulf of Mexico following a great performance, Ship 28 continued to burn all 6 of its Raptor engines and completed its first full-duration burn, inserting itself into its proper sub-orbital trajectory.
Starship just after Raptor shutdown (Credit SpaceX)
Ship 28 then began its coast phase and started a series of tests. The payload bay door, aka pez door, designed to eventually eject the full-size Starlink satellites, was first commanded to open 12 minutes into the flight. SpaceX has yet to confirm whether it managed to fully open/close the door. At 30:18 into the mission, the door appears to have dislodged into the payload bay, and we no longer got any live views inside the ship.
The next task was to re-light the first-ever Raptor engine in space, but due to the vehicle’s roll rates, SpaceX decided to postpone this until a future flight.
Ship 28 then began atmospheric entry, but the ship seemed to be partially out of control with the spin and eventually began to build up plasma. The heat shield was only half exposed, and the rest was bare stainless steel, taking the brunt of the forces of re-entry.
Ship 28 begins atmospheric re-entry (Credit SpaceX)
Thanks to Starlink terminals on board, SpaceX was able to provide incredible live views from a camera located on one of Starship’s flaps. The plasma began as a faint pink glow before rapidly growing and enveloping the vehicle while still maintaining a good data connection which has never before been possible.
Overall, SpaceX made many great advancements on this third test flight and will look to complete all of these on the fourth test flight, including a smooth splashdown of the Super Heavy booster and successful re-entry through the atmosphere for Starship.
When do you think the 4th test flight will occur, and will they fix the issues encountered during flight 3?
Questions or comments? Shoot me an email at rangle@teslarati.com, or Tweet me @RDAnglePhoto.
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
