News
SpaceX’s Starlink satellites “happy and healthy” as Elon Musk fires managers and VP
Reuters is reporting that SpaceX’s Starlink internet satellite constellation project experienced significant organizational upheaval earlier this year, triggered by fundamental disagreements between CEO Elon Musk and executives overseeing Starlink as to how exactly SpaceX should approach the complex system’s development.
Despite the report’s primary focus on reorganization and Musk’s decision to simply fire 5+ key executives, SpaceX employees that spoke with Reuters were of the opinion that the two demo satellites – named Tintin A and B – are operating nominally in orbit more than half a year after launch.
The 2 test sats launched in Feb, Tintin A and B, seem to be healthy. "We’re talking with them every time they pass a ground station, dozens of times a day," one employee said. In the first week they streamed "4k YouTube and played ‘Counter-Strike: GO’ from Hawthorne to Redmond."
— Joey Roulette (@joroulette) October 31, 2018
Musk apparently believed that Starlink’s development timeline ought to be far shorter than certain senior executives overseeing the program were planning for. As a result of continuing success with the first two prototype satellites that launched in March 2018, a SpaceX engineer paraphrased Musk as being of the opinion that Starlink “can do the job with cheaper and simpler satellites, sooner.”
Rajeev Badyal, Vice President of SpaceX’s satellite program before being fired by Musk in June 2018, apparently wanted another three full iterations of prototype satellites to be launched and tested prior to beginning serious mass-production and launching the first real batch of Starlink satellites. While his extremely cautious approach may have had undeniable long-term benefits, it would also be a major hindrance in a field now rife with competitors like Telesat, OneWeb, LeoSat, and more, all eager to be first to offer internet services from low Earth orbit (LEO).
- SpaceX’s first two Starlink prototype satellites are pictured here before their inaugural launch, showing off a thoroughly utilitarian bus and several advanced components. (SpaceX)
- One of the first two prototype Starlink satellites separates from Falcon 9’s upper stage, February 2018. (SpaceX)
Prior to joining SpaceX in 2014, Badyal – like dozens of others now working on SpaceX’s Starlink constellation – worked at Microsoft for almost two decades, developing the consumer electronics and software company’s hardware programs (Zune, Xbox, Surface, etc.). In retrospect, it may not come as a huge surprise that a senior hardware development manager at Microsoft might be moderately risk-averse or at least methodical – while Surface and other more modern hardware programs have more functional iterative life cycles (usually annual), Xbox infamously spent nearly seven years between the launch of the Xbox 360 and Xbox One.
On the ground hardware side of Starlink development, user terminals, ground terminals, and other high-volume networking equipment could certainly benefit from someone like Badyal’s extensive experience developing high-volume consumer electronics like Xbox, but the Starlink satellites themselves are a different story. As a technology essentially without precedent, it could ultimately be almost anachronistically expensive to ‘refine’ the design of constellations of hundreds or thousands of high-bandwidth internet satellites before ever actually building and operating such a system.
A clash of approaches – Musk vs. Silicon Valley
What Musk instead seems to prefer – as demonstrated through his strategic direction of Tesla and SpaceX – is an approach where hardware development projects explicitly avoid striving for perfection with the first general iteration of a new system. Tesla did not spend years prototyping and performing limited tests in secret before building Model 3 as their first car ever – high-volume desirable electric vehicles simply did not exist. With SpaceX, Musk chose to explicitly develop a very small operational rocket – Falcon 1 – rather than very tediously attempting to go from scratch to Falcon 9 or BFR.
For Starlink, a Musk-style development program would fast-track a bare-minimum baseline for the satellite constellation and its ground systems, mass-producing and launching hardware that would inevitably be lacking in many ways but would still be able to act as a proving ground for the broader concepts at stake. One step further, the FCC’s Starlink constellation grant depends on an odd but unwavering requirement that SpaceX (or any other prospective LEO constellation-operator) launch at least 50% of all of any planned constellation within six years of receiving a license.
- SpaceX’s first Starlink prototypes launched in late February aboard a flight-proven Falcon 9 booster. (Pauline Acalin)
- Falcon 9 Block 5 will be absolutely critical to the success (and even the basic completion) of Starlink. (Tom Cross)
- B1048 returns to port on drone ship JRTI after its successful July 2019 launch debut. (Pauline Acalin)
For SpaceX, that means that the basic ability to commercially operate Starlink is fundamentally at risk unless the company can somehow launch a minimum of 2213 (and up to ~5950) Starlink satellites between 2018 and 2024, an almost unfathomable challenge. Assuming ~500kg per satellite and perhaps 20 satellites per Falcon 9 launch, completing 50% of Starlink by 2024 would demand – without interruption – a minimum of one launch every two weeks for five years, mid-2019 to mid-2024. As such, every month spent prototyping and refining can essentially be viewed as a month where SpaceX didn’t launch dozens of Starlink satellites in pursuit of initial operational capabilities.
The news coming from Reuters’ reporting is ultimately a very positive look at Starlink, aside from Musk’s characteristically brusque and uncompromising approach to program management and leadership. Employees spoke proudly of the operational health and overall success of the two Tintin satellites already on orbit, noting that “they’re happy and healthy [and functioning as intended], and we’re talking with them [dozens of times a day] every time they pass a ground station”. Contrary to tenuous evidence to that suggested one of the two satellites had suffered an anomaly, preventing it from operating its electric thrusters, it appears that both satellites are doing just fine.
- SpaceX is already fairly experienced with launching multi-satellite missions and building custom payload adapters. (NASA)
- During a normal Iridium NEXT launch, two groups of five satellites are stacked on top of each other. Here, the top stack was replaced by NASA/DLR’s GRACE-FO spacecraft. (NASA)
- A spectacular view of Iridium NEXT satellites during orbital deployment. Starlink deployment will be even more of a spectacle. (SpaceX)
Up next for Starlink is the launch of a second batch of demonstration satellites, expected to occur “in short order” according to an official SpaceX comment on the matter.
“Given the success of our recent Starlink demonstration satellites, we have incorporated lessons learned and re-organized to allow for the next design iteration to be flown in short order.” – SpaceX spokesperson Eva Behrend
Musk’s ultimate hope with this reorganization is to push Starlink to begin operational satellite launches as early as mid-2019, an ambitious goal to say the least. Understandably, the intent with such an expedited schedule would be to continuously modify, update, and improve Starlink satellite, terminal, and network designs at the same time as they are being built and operated. Much like SpaceX and Tesla, this helps to ensure that the ultimate result of development is a rapid initial product offering eventually followed by a highly-optimized ‘finished’ product.
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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.







