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SpaceX says Starship can beat ‘plasma blackout’ with Starlink antennas
SpaceX has asked the FCC to allow Starship and its Super Heavy booster to communicate with Starlink during the rocket’s first orbital launch attempt, potentially unlocking game-changing capabilities.
Filed on June 28th, SpaceX’s Special Temporary Authority (STA) application contains a number of surprising details about the company’s plans to expand the experimental use of its Starlink satellite constellation to communicate with rockets in flight. That effort was first made public in April 2021 when a separate FCC application revealed plans to test Starlink on a Starship prototype. Starship serial number 15 (now known as Ship 15 or S15).
That particular prototype became the first of its kind to successfully launch and land in one piece on May 5th. Nothing is known about whether Starlink was actually used or how the Starship’s lone dish performed during the 10 kilometer (6.2 mi) flight test, but SpaceX’s plans to again combine both two Star– programs do offer some new lines to read between.
Relative to its first Starlink-Starship STA application, SpaceX splits no hairs in the ‘narrative’ attached to its latest request. Specifically, SpaceX repeatedly discusses the potential for Starlink to drastically improve the state of the art of routine spacecraft and launch vehicle telemetry and communications.
“SpaceX intends demonstrate high data rate communications with Starship and the Super Heavy Booster on the ground at the launch site in Starbase, TX during launch, during booster recovery, in flight, and during reentry. Starlink can provide unprecedented volumes of telemetry and enable communications during atmospheric reentry when ionized plasma around the spacecraft inhibits conventional telemetry frequencies. These tests will demonstrate Starlink’s ability to improve the efficiency and safety of future orbital spaceflight missions.“
SpaceX — June 28th, 2021
In short, in the two months since SpaceX first requested permission “to operate a single user terminal…during flight tests,” the company appears to have become extremely bullish about Starlink’s potential as a solution for rocket communications. The logical conclusion is that Starlink performed well during its trials aboard Starship S15 on the ground and in flight – possibly even exceeding SpaceX’s own expectations. Simultaneously, SpaceX is in the midst of expanding efforts to certify Starlink for aviation communications and has been generally ramping up tests on aircraft, ships, and road vehicles.
Indeed, at least in theory, the same attributes that allow Starlink to blow traditional consumer satellite communications solutions out of the water could make Starlink a boon for launch vehicle communications. That’s especially true for the test flights of experimental launch vehicles like Starship, where failure is an inevitable part of the development process. However, those launch failures are only beneficial insofar as they expand the knowledge base and allow lessons to be learned.
Data, in other words, is essential, and the more data recovered from test flights, the better. Even on modern rockets, state-of-the-art telemetry usually involves maximum bandwidth on the order of a few hundred to a few thousand kilobits per second, often requiring software and compression gymnastics and uncomfortable triage to ensure that all necessary telemetry keeps flowing.
If Starlink could expand that bandwidth from a few megabits per second (Mbps) to dozens or even hundreds of Mbps, SpaceX could extract unprecedentedly widespread and high-resolution telemetry from Starship and Super Heavy during their first orbital test flight, leaving a wealth of data for likely post-flight failure analyses.
Perhaps most surprising is SpaceX’s claim that Starlink antennas could allow Starship to maintain a strong communications link throughout orbital reentry. Traditionally, all spacecraft capable of reentry produce a superheated sheath of plasma as they careen into Earth’s upper atmosphere. That plasma effectively blocks most radio waves, creating an inevitable several-minute communications ‘blackout’ for any reentering spacecraft.
If Starlink can somehow allow SpaceX to break through that ‘plasma barrier,’ it would give the company an unprecedented capability invaluable for the process of perfecting orbital Starship reentry, descent, and landing – a process Musk expects to involve several unsuccessful attempts. According to SpaceX’s FCC application, Starship’s first orbital launch and reentry attempt could occur as early as August 2021.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
