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Elon Musk says a SpaceX Falcon 9 rocket is about to be "destroyed in Dragon fire"
SpaceX CEO Elon Musk has officially confirmed that the company’s next Falcon 9 launch will destroy the flight-proven booster and upper stage “in Dragon fire”, a cryptic reference to the ultimate purpose of the sacrifice.
Known as SpaceX’s In-Flight Abort (IFA) test, the mission is designed not to place any particular payload in orbit but to demonstrate that Crew Dragon – the company’s first human-rated spacecraft – can ensure astronaut safety even if faced with a worst-case scenario during launch. IFA will mark Crew Dragon’s second dedicated abort test and second launch on a SpaceX Falcon 9 rocket, although the mission’s brand-new spacecraft will have to suffice with a suborbital jaunt before hopefully splashing down intact in the Atlantic Ocean.
If everything goes as planned, SpaceX has every intention of reusing the IFA Crew Dragon capsule on a future mission, although it’s unclear what that mission might look like. It’s unlikely that a reused SpaceX spacecraft will fly NASA astronauts anytime soon but it’s possible that the company will refurbish the vehicle for an entirely private astronaut launch or transform it into the first uncrewed launch of a next-generation Cargo Dragon (Dragon 2). Regardless, given the challenges posed by the In-Flight Abort, Crew Dragon’s survival is far from guaranteed.
Given that such an abort scenario is by definition a possibility, it’s likely the case that SpaceX’s engineers are almost certain that Crew Dragon should be able to survive such an ordeal, but the spacecraft will likely be pushed to its limits and it’s often much harder to ensure that everything works as intended at those limits.
In-Flight Abort by the numbers
Formerly scheduled to fly since-destroyed Crew Dragon capsule C201, SpaceX was forced to shuffle its spacecraft scheduling, reassigning Crew Dragon capsule C205 – originally expected to launch SpaceX’s first NASA astronaut mission – to support the In-Flight Abort. Featuring upgrades designed to prevent the failure mode that led to C201’s violent explosion, C205 will now have to survive a series of extremely challenging environments.
The IFA test is designed to prove that Crew Dragon can escape a failing Falcon 9 rocket during the most mechanically stressful point of launch. Occurring around 80-100 seconds after liftoff and known as Max Q, it’s the point where Falcon 9’s velocity and altitude combine to create the most friction and pressure the rocket’s windward parts will experience on their climb to orbit. For Crew Dragon, this means its SuperDraco abort engines will have to work fight upwards against air that is functionally (but not literally) much thicker than it is at other points during flight – a battle that will simultaneously put even more pressure (mechanical stress) on the spacecraft’s surfaces.
Purely from a numerical perspective, the pressure at Max Q is typically around 30-35 kPa (4.5-5 psi), which doesn’t sound like much but can easily become a force to be reckoned with when the surface area of the rocket or spacecraft being impacted is as large as Crew Dragon (let alone Starship). For reference, Crew Dragon capsules likely have a conical surface area on the order of 30,000 square inches (~19 m²), meaning that the spacecraft is subjected to a total mechanical load of 50-60 metric tons (~130,000 lbf) at Max Q.
Traveling as fast as Mach 2.5 (860 m/s) at an altitude of 28 kilometers (17 mi) at the point where Crew Dragon will ignite its abort thrusters and attempt to escape, that very act of escape will likely magnify the mechanical stresses on the capsule even further. During Crew Dragon’s 2015 Pad Abort, for example, the spacecraft went from a standstill to 155 m/s (345 mph) in 7 seconds – an average acceleration of about 2.3 Gs. Crew Dragon C205 could thus find itself traveling almost Mach 3 (more than a kilometer per second) just seconds after separating and may ultimately reach a peak altitude of almost 75 km (45 mi).
This is all to simply say that Crew Dragon is going to be subjected to an array of varying extremes in a very short period of time, during and after which it must still successfully control its orientation, avoid tumbling, detach its trunk section, and deploy a series of parachutes to achieve a fully-successful test. Additionally, the In-Flight Abort test will see Crew Dragon launch on an almost orbit-worthy Falcon 9 upper stage (lacking only a functional Merlin Vacuum engine) and thrice-flown booster B1046.
According to CEO Elon Musk, it simply is not going to be possible to prevent the historic booster – the first Falcon 9 Block 5 rocket ever launched – from being destroyed shortly after Crew Dragon attempts its escape. Once Dragon departs Falcon 9, the upper stage will likely be torn to shreds by the supersonic airstream suddenly buffeting it, ultimately exposing Falcon 9 B1046’s unchanged interstage – effectively a giant, open cylinder closed at its base.
Likely still travel supersonic, the results of the airstream entering Falcon 9’s interstage and finding no exit will likely be akin to a glass cup smashing mouth-first into a brick wall with a bowling ball taped to its bottom. Thankfully, Falcon 9 B1046 has already successfully supported three orbital-class launches since it debuted in May 2018, completing its third flight just seven months later. The booster will be missed and the opportunity cost (at least several more orbital-class launches) is definitely non-zero, but its sacrifice sill be for a good reason.
As Musk notes, if the In-Flight Abort goes as planned, it could pave the way for Crew Dragon’s first NASA astronaut launch – known as Demo-2 – as few as 6-8 weeks later. For now, Crew Dragon’s IFA test is scheduled to launch no earlier than (NET) January 18th, likely around 8 am EST (13:00 UTC).
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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
