News
SpaceX’s next West Coast Falcon 9 landing could be decided by baby seals
SpaceX and the Canadian Space Agency (CSA) have – at long last – officially announced a launch date for the Radarsat Constellation Mission (RCM), a ~$1B trio of Earth observation satellites.
Delayed from November, February, March, and May, RCM is now scheduled to launch on a flight-proven Falcon 9 booster from California’s Vandenberg Air Force Base (VAFB) no earlier than June 11th. The three flight-ready spacecraft were shipped from Canada in September 2018 and have now been awaiting launch in a Southern California storage facility for more than half a year. The blame for such an egregious delay can be largely placed on SpaceX, but CSA and launch customer Maxar Technologies are also partially responsible. On a lighter note, the location of RCM’s subsequent Falcon 9 landing might end up being decided by seal pupping – baby harbor seals, in other words.
Although RCM’s slip from 2018 to 2019 remains unexplained, the mission’s journey from mid-February to mid-June is a different story. Still, next to nothing is publicly known about the process SpaceX launch customers go through after contracts have been signed, particularly with respect to how Falcon boosters are assigned to missions. This is further stymied by the fact that – to date – the ~$1 billion RCM is probably the most valuable payload SpaceX has ever attempted to launch, making it a clear outlier. But, as they say, “damn the epistemological torpedoes!”
Rocket logistics hell
RCM’s logistical hell and ~6 months of delays began on December 5th, 2018 when Falcon 9 Block 5 booster B1050 – having just completed its inaugural launch debut – experienced a hydraulic pump failure. The first of its kind, B1050’s pump failure killed grid fin control authority and forced the booster to abort into the Atlantic Ocean, where it somehow pulled off a landing soft enough to leave the rocket almost entirely intact. Even more surprisingly, B1050 was safely towed back to port, lifted onto dry land, and shipped off to one of SpaceX’s many Florida hangars for inspection.
Despite its near-miraculous survival, B1050 was immediately removed from SpaceX’s fleet of flightworthy boosters. Set to become the least flight-proven flight-proven Block 5 booster yet after supporting a low-energy Cargo Dragon mission, SpaceX and CSA/Maxar had apparently reached an agreement to launch RCM on B1050.2. Despite the availability of other boosters at the time, all available cores had completed two launches (B1046, 47, and 48) or were assigned to a second launch in the near-term (B1049). This is the only rational explanation for the delays that followed.
B1049 completed its second launch in mid-January 2019 and has since floated around various SpaceX facilities while waiting for its third mission. Had CSA/Maxar been okay with a twice-flown Falcon 9, B1049 could have likely supported RCM’s launch as early as March or April. Instead, the customer – as was apparently their right – concluded that being a booster’s third launch would be an unacceptable risk, whereas launching on a once-flown booster was acceptable. The only possible solution to those demands was to manifest RCM on Falcon 9 B1051, assigned to Crew Dragon’s launch debut.
Quite possibly the worst booster one could pick for schedule preservation, Crew Dragon’s launch debut slipped – to the surprise of very few – from January to February and finally to March 3rd. B1051 launched, landed without issue, and returned to Port Canaveral a few days later, where it was transported to Pad 39A for refurbishment. The relatively gently-used booster required a bit less than 8 weeks of inspection and refurbishment before being packaged and shipped to California near the end of April (see above). By now, B1051 is likely safely inside SpaceX’s SLC-4E integration hangar, preparing for upper stage integration and a routine pre-launch static fire test.
In short, an untimely Falcon 9 anomaly and customer preferences conspired to delay the launch of Canada’s Radarsat Constellation Mission by nearly four months, from February 18th to June 11th. With any luck, the mission’s flow will be issue-free and suffer no additional delays.
FCC launch communications licenses currently show that SpaceX plans to return Falcon 9 B1051 to the launch site (RTLS) after launch, rather than landing aboard drone ship Just Read The Instructions (JRTI). With a total launch mass likely around 5000 kg (11,000 lb), Falcon 9 should easily be able to manage a RTLS recovery. However, SpaceX’s West Coast LZ-4 use permit prevents the company from landing rockets at the pad during harbor seal pupping season, typically March thru June. The sonic booms and noise generated during Falcon 9’s spectacular landings might end up stressing endangered harbor seals, potentially causing parents to abandon their seal pups in confusion. As such, JRTI may be forced to get some exercise after spending almost five months in port. Anything for the baby seals!
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
