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SpaceX drone ship dodges high seas en route to first rocket landing of 2020
SpaceX has delayed the first orbital launch of the new year by a handful of days to allow both Falcon 9 and the drone ship it’s scheduled to land on the opportunity to dodge bad weather on the Florida coast and out in the Atlantic Ocean.
Originally scheduled to launch no earlier than December 30th, SpaceX delayed its next mission – Starlink-2 – to January 3rd for unknown reasons. Weather on the new date was unfortunately forecast to be terrible at SpaceX’s LC-40 launch pad and had a 60% chance of scrubbing the mission. SpaceX must have been at least as concerned about conditions for drone ship Of Course I Still Love You (OCISLY) in the Atlantic Ocean, as the company ultimately skipped over a 90%-GO backup window on January 4th for the latest launch target – January 6th.
Historically, only a few Falcon launches have been delayed for booster recovery purposes, but it’s been apparent that – while incredibly sturdy – some of the tacked-on equipment installed on SpaceX’s drone ships (modified barges) can be easily damaged by high seas. Perhaps more importantly, high seas (and thus a pitching drone ship deck) can make booster landings much riskier. Bad luck could easily cause a booster to cut off its landing burn at exactly sea level but still be a dozen or more feet above the drone ship’s deck if it’s coincidentally in the trough of a big swell, potentially destroying or damaging the rocket.
Ultimately, on missions where SpaceX has nothing to lose by delaying the launch, the company now puts a successful booster recovery much higher on its list of priorities. As recently as March 2018, SpaceX intentionally expended a new Falcon 9 booster because ocean conditions would have been extremely risky to OCISLY and crew and the company (or customer) had no interest in delaying the launch further to wait for calmer seas.
By all appearances, that is – for the most part – no longer the case. SpaceX would likely expend a rocket for a few days of schedule for high-priority customers like the USAF and especially NASA, where even a few days of delays could trigger several years of delays to quite literally wait for the planets to realign. It has and will continue to require a significant culture shift in the market for launch but SpaceX is clearly changing those norms and expectations bit by bit, to the point that the company was recently willing to delay Cargo Dragon launches for NASA to ensure that the mission’s Falcon 9 booster the best possible chance of recovery.
For an internal Starlink launch, delaying the mission to prevent drone ship damage and ensure Falcon 9 recovery is thus an absolute no-brainer. Starlink-2 is also partially unique because it will mark the second time a Falcon 9 booster launches for the fourth time, following on the footsteps of B1048 after it became the first booster to launch four times during SpaceX’s November 2019 Starlink-1 mission.
B1048 thus became SpaceX’s lone pathfinder for Falcon 9 booster reusability, hopefully providing excellent insight and some unequivocal physical data to determine the rocket’s health and readiness for a 5th launch. Still, even though the sample sizes available to even the most prolific orbital launch vehicles would make any statistician cringe, it’s safe to say that two data points are better than one, and B1049 – scheduled to launch for the fourth time on Starlink-2 – would thus be quite valuable to SpaceX’s recovery engineers and technicians.
Only one additional Falcon 9 booster – B1056 – has already flown three missions, meaning that SpaceX will – at best – likely have to suffice with three data points (B1048, B1049, B1056) before moving onto the next reusability milestone – launching the same booster five times. Ultimately, every time SpaceX pushes that envelope and demonstrates that Falcon boosters can be definitively reused 3 or 4 or 5 times, the company multiplies the number of launches its fleet of booster can perform by a factor of two.
For, say, the eight flightworthy boosters in SpaceX’s existing fleet, proving that a 4th reuse is possible will ultimately allow the company to squeeze an additional seven launches from existing hardware with almost zero capital investment. For now, the fourth flight of Falcon 9 boosters will remain cutting edge, but with more than three-dozen launches planned in 2020, it’s all but guaranteed that SpaceX will push the envelope of reusability like never before in the coming months.
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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
