News
SpaceX rings in the New Year with preparations for first Falcon 9 launch of 2020
SpaceX’s first Falcon 9 launch of 2020 – and the new decade – is just around the corner after drone ship Of Course I Still Love You (OCISLY) departed Port Canaveral on Monday to prepare for its 27th booster landing attempt.
Known as Starlink-2, SpaceX’s first launch of the new year slipped a handful of days from December 30th to January 3rd and finally January 6th and will be the company’s second launch of 60 upgraded Starlink v1.0 satellites, as well as the third dedicated Starlink launch overall. Just one of potentially dozens of SpaceX launches planned in 2020, the year is setting up to be – by a long shot – the company’s most ambitious year ever.
Meanwhile, Starlink-2 alone is set to ring in at least two significant milestones, pushing the nascent broadband internet constellation a step closer to serving customers and Falcon 9 reusability a step closer to being fully realized.
Drone ship OCISLY departed Port Canaveral on December 30th and is now being towed some 630 km (390 mi) downrange to Falcon 9’s planned Atlantic Ocean recovery location. SpaceX’s first launch and landing of 2020 will also be the three-year-old drone ship’s 27th attempted Falcon booster recovery and – hopefully – 23rd successful recovery.
Simultaneously, SpaceX technicians are in the midst of preparing other recovery fleet assets for what appears to be a partial fairing recovery attempt. Twin fairing catchers Ms. Tree and Ms. Chief debuted on their first simultaneous fairing catch attempt in December 2019 but each unfortunately missed their catches, instead picking up the floating fairing halves off the surface of the Atlantic and returning to port on December 18th.
The fairing halves were thus still successfully recovered and may be able to fly again on a future Starlink mission, but both fairing recovery ships suffered damage during their first simultaneous deployment. Ms. Tree suffered minimal damage in the form of tears to its secondary net – an easy fix – but Ms. Chief was not as lucky and somehow lost one of the two white booms that support each of her four arms.
That wounded arm was visibly hanging lower than its companions when Ms. Chief returned to port and technicians have since removed all of her arms, presumably evaluating whether the ordeal overstressed any components or caused significant damage.
Unsurprisingly, Ms. Chief will reportedly not take part in the fairing recovery portion of SpaceX’s imminent Starlink-2 launch, although it’s starting to look like Ms. Tree will be able to attempt a catch. SpaceX will still attempt to extract both fairing halves from the Atlantic even if the catch attempt fails and appears to be preparing GO Navigator to recover the half that would have otherwise been assigned to Ms. Chief.
Two milestones, one launch
As implied by the Starlink-2 title, SpaceX’s first launch of 2020 will feature the third batch of 60 Starlink satellites. Excluding 9 Starlink v0.9 satellites that have been intentionally lowering their orbits over the last several months to hasten reentry, this will give SpaceX a constellation of at least 170 operational satellites less than eight months after the company began launching the satellites.
This may not immediately seem significant but 170 operational satellites in orbit could make Starlink the world’s largest satellite constellation and SpaceX the world’s largest constellation operator. The only known competitor that comes close is Planet Labs, an Earth observation company believed to have approximately 150-170 operational satellites in orbit – most of which are 5-10 kg (10-20 lb) ‘Doves’ roughly the size of a loaf of bread.
Put another way, after Starlink-2, SpaceX will have around 45 metric tons (100,000 lb) of functional Starlink satellites in orbit, a constellation mass probably only rivaled by major geostationary commsat operators, global navigation satellites, and a few other high-value military constellations.
Meanwhile, according to NASASpaceflight.com, SpaceX has assigned Falcon 9 booster B1049.3 to its Starlink-2 mission, meaning that the launch will mark the second time that a single SpaceX rocket has flown four orbital-class missions. This follows on the footsteps of the November 11th, 2019 Starlink-1 launch, which saw Falcon 9 B1048 become the first booster to fly four times.
At this point, SpaceX has two additional Starlink launches scheduled in January and has plans for as many as 38 orbital launches throughout 2020. To complete that incredibly ambitious manifest, SpaceX will have to dig deep into its fleet of reusable rockets, meaning that Falcon 9 B1049’s imminent fourth launch is almost certainly just the tip of the iceberg. Falcon 9 B1049 is scheduled to launch SpaceX’s Starlink-2 mission no earlier than (NET) 9:20 pm ET, January 6th (02:20 UTC, Jan 7).
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
