News
SpaceX isn’t giving up on catching rocket fairings, boat spotted with new net
SpaceX fairing recovery vessel Mr. Steven was spotted in Port of San Pedro on January 22nd performing tests with two fairings in its net, hinting at the challenging logistics of safely recovering both Falcon 9 fairing halves with one ship.
Although SpaceX engineers and technicians have yet to catch a parasailing Falcon 9 fairing (let alone two) after an actual operational launch, a series of controlled fairing drop tests – using a barge and a helicopter – have brought Mr. Steven agonizingly close to success, evidenced by an official video published by SpaceX earlier this month.
Two fairing halves, each in a separate net aboard Mr Steven this morning. #spacex pic.twitter.com/beYSFQwcYr
— Pauline Acalin (@w00ki33) January 23, 2019
Teslarati photographer Pauline Acalin managed to make it to Berth 240 in time to capture one section of SpaceX’s fairing recovery testing, in which Mr. Steven was loaded with two fairings, one on the large main net (the passive half) and one (the active half) atop a much smaller net slack on the vessel’s deck. By asymmetrically actuating each net’s separate electric motors, recovery technicians appear to be able to control fairing half orientation and shift their position in the net. It’s unclear how exactly Mr. Steven’s main (top) and secondary (bottom) nets are meant to interface insofar as it does not appear physically possible for a fairing half in the top net to make its way to the bottom net without the intervention of dockside cranes.
Perhaps more importantly, local photographer Jack Beyer was able to observe additional activities just prior to Pauline’s arrival, capturing what looked like a weighted parachute drop test onto either Mr. Steven’s net or the concrete docks beside the vessel.
So far they’ve placed one fairing half in the top net with another in the bottom, and done at least one drop test of a weight with a parachute. ? pic.twitter.com/MkWb9l9lqz
— Jack Beyer (@thejackbeyer) January 22, 2019
The goal of that parachute/weight drop test is entirely opaque. Regardless, Tuesday’s tests do seem to indicate that SpaceX is thinking about recovering both post-launch Falcon fairing halves with a single Mr. Steven, a capability upgrade that would make the incomplete challenge of catching fairings even more difficult. Assuming both fairing halves deploy their parafoils at roughly the same time, it might be possible for the autonomous parafoils to modify trajectories in such a way that a gap of seconds or even minutes could be created between both planned splashdowns, offering Mr. Steven a minute or two to free its net of the first captured half before gently catching the second.
Despite the fact that SpaceX has not yet had operational success in the ~12 months recovery engineers and technicians have been working with Mr. Steven, tests like those performed on Tuesday have continued to reliably occur. If anything, the fact that experiments with dual-fairing recovery operations are still on the table is an encouraging indication that fairing recovery and reuse – particularly with Mr. Steven in the loop – are still a priority at SpaceX, while also suggesting that the company’s engineers and technicians are extremely confident that repeatable success is just a matter of refinement.
This should not come as a much of a surprise given that Falcon 9 began propulsive soft landing attempts in September 2013, 27 months before the company’s first successful Falcon 9 booster recovery. Nevertheless, SpaceX attempted its first actual landing aboard a drone ship in January 2015, separating the first attempt from the first successful landing by just less than 12 months. Fairing recovery is clearly an entirely different beast but the gist of this analogy remains true regardless – SpaceX’s brilliant engineers and technicians are unlikely to give up until a given problem is solved or their efforts are redirected elsewhere as company priorities shift.
Recent fairing recovery test with Mr. Steven. So close! pic.twitter.com/DFSCfBnM0Y
— SpaceX (@SpaceX) January 8, 2019
Berth 240’s uncertain future
In the meantime, SpaceX may soon have to move Mr. Steven’s Port of San Pedro operations elsewhere according to a report from the LA Times that the company plans to “terminate [its] Terminal Island lease agreement.” SpaceX was unable to offer further insight beyond a statement provided about the future of BFR’s manufacturing, initially planned to occur at a dedicated factory that would have been built at Berth 240, which has also acted as Mr. Steven’s home for the last eight months.
Given the lack of official insight into the proceedings, it’s ambiguous if the terminated lease will be modified to allow for Mr. Steven to continue operating out of Berth 240. Prior to moving to Berth 240, SpaceX stationed Mr. Steven at Berth 52, home of drone ship Just Read The Instructions (JRTI) and support vessel NRC Quest. Space is already tight at that site, however, making it a suboptimal replacement for Berth 240.
While I feel crushed about #SpaceX pulling the #SuperHeavy out of the @PortofLA, I feel confident that other innovators will see the huge value they get in San Pedro. (1/2)
— Joe Buscaino (@JoeBuscaino) January 16, 2019
SpaceX signed its Berth 240 lease near the end of March 2018 and would have reached the first anniversary of its prospective BFR factory around two months from now. For now, only SpaceX seems to know where Mr. Steven’s operations and the first BFR (Starship/Super Heavy) production will ultimately be located.
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
