News
SpaceX drone ship sails through Panama Canal on the way to California
For the third time ever, one of SpaceX’s “autonomous spaceport drone ships” has successfully transited the Panama Canal on its way to a new home port.
This time around, similar to drone ship Just Read The Instructions’ (JRTI) original 2015 journey from a Louisiana shipyard to Port of Los Angeles, drone ship Of Course I Still Love You (OCISLY) headed west through the Panama Canal on June 25th, 2021. Unlikely JRTI, though, OCISLY was already operational and had supported almost four dozen successful Falcon booster landings before SpaceX decided to move the storied drone ship from Port Canaveral, Florida to Port of Long Beach, California.
A bit less than four years after Just Read The Instructions debuted on the West Coast, SpaceX sent the drone ship back east in August 2019, leaving the company’s Vandenberg Air/Space Force Base (VAFB) launch pad without an at-sea booster recovery capability ever since. Perhaps unsurprisingly, SpaceX has only launched once out of VAFB in the last two years. Now, though, the company intends to restart West Coast launches with a vengeance – and soon.
SpaceX’s primary motivation: a growing need to deliver a large number of Starlink satellites to polar – rather than semi-equatorial – orbits. Just last month, SpaceX’s 28th dedicated Starlink launch carried the constellation past the 1600-satellite milestones for the first time ever. Comprised of a little over 4400 satellites split between five orbital ‘shells,’ that milestone meant that the Starlink constellation’s first phase is now more than a third complete.
It also means that SpaceX has effectively finished the first of those five shells once all ~1584 satellites finish raising their orbits. A second nearly identical shell of 1584 satellites will eventually complete the constellation’s semi-equatorial foundation. In principle, those two shells of ~3200 satellites are enough to serve internet to ~99% of humanity.
Polar satellites will allow SpaceX to truly provide internet anywhere on Earth. Perhaps most importantly, polar Starlink satellites with optical (i.e. laser) interlinks would allow the constellation to serve uninterrupted, high-quality internet to all aircraft and ships – two major connectivity markets currently trapped with solutions that are either offer a terrible user experience or are extraordinarily expensive (and still mediocre).
Once operational on the West Coast, drone ship OCISLY should allow SpaceX to begin fleshing out Starlink’s polar shells with dedicated launches almost immediately. OCISLY is currently on tracked to arrive at Port of Long Beach around July 6th, leaving SpaceX more than three weeks to prepare for a polar Starlink launch before the month is out. Recently, FCC filings have also indicated that SpaceX intends to perform dedicated polar Starlink launches from California and Florida – though the latter missions will take a significant performance hit to make that happen.
According to Musk, Starlink is about six weeks away from achieving uninterrupted global coverage (excluding the poles) and six months away from offering uninterrupted coverage anywhere on Earth. It’s unclear how much of Starlink’s three polar shells will have to be completed before the constellation can truly provide uninterrupted coverage to those living in Earth’s polar regions but it’s likely that achieving that feat in six months will be a challenge.
Accounting for the inherently less efficient nature of polar launches and assuming approximately 50 Starlink satellites per polar launch, SpaceX will likely need to complete 12-20 polar missions to achieve full global coverage. Though unlikely, both of SpaceX’s first dedicated polar Starlink launches from the East and West Coasts could potentially occur in late July or early August.
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
