Update: SpaceX says it and NASA are moving forward with plans to launch a Crew Dragon carrying US, Japanese, and Russian astronauts as early as noon EDT (16:00 UTC) on Wednesday, October 5th.
Concurring with a statement made on October 3rd, SpaceX has also called off a planned October 4th launch of its Starlink 4-29 mission. However, the company has delayed Starlink 4-29 just 24 hours and says that Falcon 9 will launch the latest batch of internet satellites out of California no earlier than (NET) 4:10 pm PDT (23:10 UTC) on October 5th. Intelsat has also confirmed that its Galaxy 33 and Galaxy 34 geostationary communications satellites are scheduled to launch on a Falcon 9 rocket as early as 7:07 pm EDT (23:07 UTC) on October 6th, leaving SpaceX on track to launch three Falcon 9 rockets from three launch pads in 31 hours.
The company achieved a similar feat earlier this year when it launched three Falcon 9 rockets in 36 hours. Three launches in 31 hours would break that record.
SpaceX is on the cusp of launching three Falcon 9 rockets in a handful of days. Minor issues with two of the three missions, however, have complicated the already hard process of coordinating so many launches at the same time.
For many reasons, rocket launches are an inherently difficult thing to schedule, and that difficulty only gets magnified when attempting to launch rockets as quickly as possible for customers with very different needs while using a fixed number of launch pads. SpaceX’s upcoming series of launches demonstrates the slippery nature of high-cadence rocket launch scheduling better than most.
Last month, SpaceX ran into issues (mainly bad weather) that delayed its Starlink 4-34, 4-35, and 4-36 missions by varying degrees. Before those delays, SpaceX had intended to break its LC-40 pad turnaround record with Starlink 4-35 and then repeat the feat with Starlink 4-36, but that opportunity closed when Starlink 4-34’s several weather delays pushed Starlink 4-35 from September 19th to the 24th and raised the risk of the next launch, Starlink 4-36, interfering with customer missions planned in the first half of October.
That burst of customer missions, all of which take priority over SpaceX’s own Starlink missions, meant that a few-day delay for a mission two launches prior ultimately pushed Starlink 4-36 from the end of September to no earlier than October 20th. It will launch out of Cape Canaveral Space Force Station’s (CCSFS) LC-40, the same pad that launched Starlink 4-35 on September 24th and will launch Intelsat’s Galaxy 33 and 34 satellites no earlier than (NET) October 6th and Eutelsat’s Hotbird 13F satellite NET October 13th. All four launches (including Starlink 4-36) are thus contingent upon each other, so a delay with one mission would likely delay each subsequent mission to leave enough time for pad turnaround and rocket processing.
Date Mission Rocket Location Pad 10/04/22 Starlink 4-29 Falcon 9 California VSFB SLC-4E 10/04/22 SES-20/21 Atlas V Florida CCSFS LC-41 10/05/22 Crew-5 Falcon 9 Florida KSC LC-39A 10/06/22 Galaxy 33/34 Falcon 9 Florida CCSFS LC-40 10/13/22 Hotbird 13F Falcon 9 Florida CCSFS LC-40 10/20/22 Starlink 4-36 Falcon 9 Florida CCSFS LC-40
SpaceX isn’t the only company that launches out of Cape Canaveral, Florida. Originally scheduled in late September, the United Launch Alliance’s (ULA) Atlas V launch of the SES-20 and SES-21 geostationary communication satellites was delayed by the same weather system that indirectly hampered Starlink 4-35 and 4-36. That mission is now set to launch NET 5:36 pm EDT (21:36 UTC) on October 4th.
Up first, however, is SpaceX’s Starlink 4-29 mission out of California’s Vandenberg Space Force Base (VSFB). Delayed to October 4th hours before its October 3rd target, the new schedule will give SpaceX “more time for pre-launch checkouts,” Falcon 9 will now lift off as early as 4:48 pm PDT (23:48 UTC), a little over two hours after Atlas V. However, making the whole situation even more interlinked, SpaceX says it will stand down from its October 4th Starlink launch attempt if its next Florida mission – Crew Dragon’s fifth operational NASA astronaut launch – remains on track for its current noon EDT (16:00 UTC), October 5th launch target.
In an October 3rd briefing following a mostly clean launch readiness review (LRR), NASA and SpaceX officials revealed that three new minor issues – “not showstoppers” – had appeared after a busy period of ground testing. An otherwise successful astronaut dry dress rehearsal and a subsequent wet dress rehearsal and static fire uncovered a possible fire extinguisher leak in the Dragon spacecraft and a minor issue with one of the Falcon 9 rocket booster’s nine Merlin 1D engines. A communications issue was also discovered on the SpaceX drone ship Crew-5’s rocket booster is meant to land on in the Atlantic Ocean.
SpaceX and NASA officials weren’t especially worried about the issues and were confident they would be resolved in time for an October 5th launch. If they aren’t and Crew-5 slips to October 6th, SpaceX should be able to launch Starlink 4-29 on October 4th, but then it’s unclear if the company will also be able to launch Intelsat’s Galaxy 33 and Galaxy 34 geostationary communications satellites on the same day as Crew-5. Galaxy 33/34 is scheduled to launch NET 7:07 pm EDT on October 6th, likely ~6 hours after Crew-5’s own October 6th launch window.
If Crew-5 slips and Galaxy 33/34 can’t launch on the same day, it would likely delay both Hotbird 13F and Starlink 4-36. It’s also unclear if Starlink 4-29 can launch on the same day as Crew-5 if it flies after Dragon. Either way, SpaceX could potentially end up launching Crew-5, Galaxy 33/34, and Starlink 4-29 on October 5th and 6th – potentially less than a day and a half apart.
As SpaceX continues to push the limits of what is possible with its existing Falcon launch and landing infrastructure, chaotic scheduling situations like this, where small issues impact large strings of launches, will become the norm instead of the exception
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
