News
SpaceX’s Starlink high-speed internet satellites alive and well in orbit
Comments from SpaceX CEO Elon Musk and other executives have confirmed that the company’s first two prototype Starlink internet satellites are healthy and progressing through a range of tests three months after launch.
Designed to flesh out a broad range of technologies and flight-test SpaceX’s ability to design, manufacture, and operate advanced communications satellites, what little public information available on the satellite constellation indicates that the test program is thus far a success. While it can be argued that SpaceX already has years of experience building and operating satellites in the form of Cargo Dragon and Falcon 9’s upper stage, small high-throughput communications satellites are a dramatic leap outside of the company’s demonstrated comfort zones. As such, the fact that the first true standalone Starlink prototypes have survived several months in orbit and managed to demonstrate at least a few of their complex technologies with some success.
A flight-proven SpaceX Falcon 9 launched two Starlink prototype satellites and the PAZ earth-imaging satellite in February 2018. (SpaceX)
Musk noted in a tweet that the first two Starlink satellites were doing “pretty good” and “closing the link to ground with phased array at high bandwidth, low latency (25 ms).” He also stated that there would likely be another hardware revision before settling on a final design for Starlink, indicating that at least one more batch of improved prototype satellites will likely be launched sometime this year.
Given the sheer number of new technologies built in-house for Starlink, ranging from optical (laser) interlink terminals to electric ion propulsion systems, it should come as little surprise that the satellite internet constellation team intends to continue iterative improvement and testing before transferring focus to mass-production and consumer operations.
Previously mentioned by Musk during Tesla’s Q1 2018 conference call, the CEO does not expect initial Starlink service to be available to consumers (and perhaps even to internal R&D teams at Tesla) for at least “three years”, indicating the beginning of operational connectivity no earlier than 2021 or 2022. This timeline allows SpaceX at least another 6-12 months of experimentation and flight testing before the first true production runs and launches would need to begin, giving the company roughly 12-18 months to build and launch the minimum of ~800 satellites required to begin offering consumers internet access.
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- SpaceX’s first two Starlink prototype satellites are pictured here before their inaugural Feb. 2018 launch, showing off a utilitarian design. (SpaceX)
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- SpaceX’s Starlink satellite constellation efforts could provide the company with valuable experience that can be applied around Mars. (unofficial logo by Eric Ralph)
A couple weeks after the FCC officially approved SpaceX’s full Starlink constellation in March 2018, SpaceX’s Patricia Cooper and Bryon Hargis met with several FCC commissioners and their staff to discuss “the operation of two experimental SpaceX satellites launched on February 22, 2018, including initial results from those test operations.” While about as vague as can be (PDF), this suggested that initial Starlink test operations were proceeding to some extent, whether that procession was nominal or otherwise. Musk’s comments approximately a month later corroborate that vague confirmation of success and reinforce the observation that SpaceX is continuing to make gradual but steady progress on their internet constellation ambitions.
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
