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SpaceX wins FCC approval to launch first polar Starlink satellites amidst rideshare chaos
In a sign of the regulatory agency’s growing confidence in SpaceX, the FCC has rapidly approved a request to add ten Starlink satellites to an imminent Falcon 9 rideshare launch.
Known as Transporter-1 and originally scheduled to launch as early as December 2020 or January 14th, SpaceX delayed its first dedicated Smallsat Program mission to January 21st for unknown reasons last week. While there is no confirmed cause, any one of several recent events could have easily contributed to or fully caused the delay. In a rare ground processing failure, DARPA (Defense Advanced Research Projects Agency) revealed that two “risk reduction” technology demonstrator satellites were damaged on January 4th when their deployment mechanism was accidentally triggered during processing.
In other words, the two spacecraft may have been shot out of their dispensers by their spring-loaded deployment mechanisms, falling onto a processing bench or even off of the much taller payload stack. Meanwhile, on the very same day, space tug startup Momentus Space announced that it was removing its first Vigoride tug from Transporter-1 “for additional time…to secure FAA approval of…payloads.” Finally, once more on January 4th, SpaceX filed a request with the FCC to manifest and launch its first polar Starlink satellites to better take advantage of Transporter-1’s full capacity.
If launched, the ten spacecraft would be the first of several hundred planned polar Starlink satellites necessary for SpaceX’s massive internet constellation to serve some of the most remote communities on Earth. Referring to an orbit centered more around Earth’s north and south poles than its equator, the polar Starlink launch opportunity is available because SpaceX’s Transporter-1 mission – set to carry several dozen small satellites – is headed for a nearly polar “sun-synchronous orbit” (SSO).
For Starlink, sun-synchronous and polar orbit satellites will allow the constellation to serve customers and communities in high northern latitudes – possibly up to and including the Arctic and Antarctic once fully deployed.
SpaceX supported the US East Coast’s first polar launch in more than half a century in August 2020, effectively opening the same polar corridor that’s now allowing the company to launch Transporter-1 – and polar Starlink satellites – from the same pads it launches almost every other mission. It remains to be seen if SpaceX will one day perform dedicated polar Starlink launches from its West Coast launch pad – reactivated in November 2020 after spending almost a year and a half mothballed.
Perhaps the most impressive aspect of Starlink’s imminent polar launch debut is just how quickly both SpaceX and the FCC acted to make it happen. When SpaceX requested permission on January 4th, then just 10 days from the launch date, the historical odds of the FCC responding at all – let alone approving the request – in time were practically zero. Instead, the agency got back to SpaceX with a lengthy conditional approval (PDF) four days later. Although the FCC has yet to approve a request to move almost all of SpaceX’s 4,408 Phase 1 Starlink satellites to much lower orbits, the agency was apparently chomping at the bit to allow a limited trial at those lower orbits.
Dropped from an orbital altitude of ~1200 km (~750 mi) to 560 km (~350 mi), the ten Starlink satellites SpaceX now has permission to launch on Transporter-1 likely represent less than 20% of one polar ‘plane’ of Starlink satellites. In simpler terms, those ten satellites will only be capable of supporting a very limited test of polar Starlink internet, likely resulting in intermittent, unreliable coverage that won’t be viable for civil use until the FCC permits SpaceX to launch one or several full planes. Still, receiving approval to launch any number of satellites mere days after filing a request suggests that full FCC approval is a now question of “when,” not “if.”
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
