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SpaceX’s first “next-gen” Starlink satellites are suspiciously familiar

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In a strange twist, SpaceX says that its next Starlink mission will launch 54 satellites into low Earth orbit (LEO), implying that they’re roughly the same size as the V1.5 satellites it’s already launching – not the larger V2 or V2 Mini satellites discussed in recent FCC filings.

However, the data SpaceX provided also shows that those 54 satellites are headed to an orbit that only matches the company’s next-generation Starlink Gen2 (V2) constellation. While SpaceX quietly indicated that a V1.5-sized satellite was an option for early Gen2 launches in a supplemental October 2022 filing [PDF] with the FCC, it’s still unclear why SpaceX would prioritize launching V1.5-sized V2 satellites while its V1 constellation remains unfinished.

Adding to the confusion, in November 2021, CEO Elon Musk strongly implied that the inefficiencies of smaller Starlink V1.x satellites were so significant that they could risk bankrupting SpaceX if the company couldn’t start launching larger V2 satellites on its next-generation Starship rocket by the end of 2022. What, then, is the purpose of SpaceX’s imminent “Starlink G5-1” launch?

The name alone is confusing. Using the same shorthand as past Starlink V1 launches, “G5-1” refers to the first launch of “Group 5” of a constellation. “Group” here is synonymous with “shell,” which describes a set of satellites that share the same orbital inclination (the angle at which the orbit crosses the equator) and a similar orbital altitude. Of SpaceX’s three approved constellations, only one has five shells, and that shell can only exist at 97.6 degrees, not 43 degrees. SpaceX’s Gen2 constellation technically has nine planned shells, but the FCC has only partially approved three of those shells, one of which is at 43 degrees.

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Ignoring the obtuse name, one possibility is that aspects of Starlink V2 satellite upgrades are not explicitly tied to the much larger size of those satellites and can be applied to SpaceX’s first-generation Starlink constellation without requiring a modified FCC license. If SpaceX wanted to add larger satellites to its V1 constellation or change the frequency bands they use, it would almost certainly have to seek a modified license from the FCC, which could take months.

There is no evidence SpaceX has done so, and any attempt would produce public documentation. The 43-degree inclination SpaceX’s mysterious “Starlink G5-1” launch is targeting also rules out any involvement in its V1 constellation, which only has approval for satellites between 53 and 97.6 degrees.

Aside from the unlikely possibility that details about the Starlink 5-1 mission are somehow incorrect or an artifact of a messy launch licensing process, there is at least one other unlikely explanation. In October 2018, the FCC granted SpaceX permission to launch a very low earth orbit (VLEO) constellation of 7518 Starlink satellites with dimensions similar to satellites that make up the 4408-satellite constellation the company is currently launching. More than four years later, SpaceX has yet to begin launching its approved VLEO constellation.

In November 2022, SpaceX told the FCC it intended to combine its Starlink VLEO and Starlink Gen2 constellations by adding V-band antennas to some of the almost 33,000 Gen2 satellites it hoped to launch – a move that would reduce the total number of Starlink satellites SpaceX needs to launch. Around the turn of the month, the FCC partially granted SpaceX’s Starlink Gen2 license, adding unprecedentedly strict requirements and only permitting the launch of 7500 of 33,000 planned Gen2 satellites to a limited set of inclinations (33, 43, and 53 degrees).

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Perhaps, then, the uncertainty created by the FCC’s strange partial Gen2 grant made SpaceX change its mind about a dedicated Starlink VLEO constellation. However, without a license modification, SpaceX’s VLEO constellation is stuck with the same smaller (and potentially bankruptcy-inducing) satellites that its CEO believes make the first Starlink V1 constellation unsustainable. SpaceX also has less than two years until its VLEO constellation crosses its first deployment milestone, at which point the company will need to have launched half of it (3759 satellites) to avoid penalties from the FCC – up to and including the revocation of its license.

Despite the numerous reasons it wouldn’t make sense for Starlink 5-1 to be SpaceX’s first Starlink VLEO launch, almost 2500 of SpaceX’s approved VLEO satellites were intended to operate in a 336-kilometer (~209 mi) orbit inclined by 42 degrees – oddly similar to the 338-kilometer (~210 mi), 43-degree orbit SpaceX appears to be targeting with Starlink 5-1.

A surprise VLEO launch is a very unlikely explanation, but it’s only marginally stranger than the alternatives: that Starlink 5-1 is a V1-sized V2 launch with no prior mention or warning, a V1 launch to an orbit that would explicitly violate SpaceX’s Starlink V1 FCC license, or a paperwork error that has propagated so far that SpaceX distributed incorrect orbit information (which could threaten other satellites and rockets) less than two days before liftoff.

Thankfully, there is one last explanation – raised after this article was published – that appears to be much more likely. In response to a tweet summarizing these claims, astrophysicist Jonathan McDowell noted that SpaceX had, in fact, mentioned a third smaller Starlink V2 satellite variant in an October 2022 FCC filing that fell mostly under the radar. In that filing, SpaceX told that FCC it was developing three variants, not two. The smallest variant was said to weigh 303 kilograms and featured dimensions seemingly identical to SpaceX’s existing V1.5 satellites, which are estimated to weigh around 307 kilograms. SpaceX also stated that initial Falcon 9 launches will carry “approximately twenty to sixty satellites,” again confirming that V2 satellites could be about the same size and shape as V1.5 satellites.

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SpaceX’s decision to develop a V1.5-sized version of V2 satellites makes little sense in the context of Musk’s implicit claims that problems inherent to its smaller V1 satellites threaten the company’s solvency. It’s clearer than ever that the SpaceX CEO may have been stretching the truth of the matter to craft an existential threat that might encourage employees to work longer hours. Still, developing and launching a V1.5-sized V2 satellite variant and beginning to launch those satellites while SpaceX’s Starlink Gen1 is more than 25% incomplete is confusing at best.

Regardless of what it’s carrying or why, a SpaceX Falcon 9 rocket is scheduled to launch Starlink 5-1 out of Florida’s Cape Canaveral Space Force Station (CCSFS) no earlier than 4:40 am EST (09:40 UTC) on Wednesday, December 28th.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Elon Musk teases crazy outlook for xAI against its competitors

Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.

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Credit: NVIDIA

Elon Musk has never been one to shy away from crazy timelines, massive expectations, and outrageous outlooks. However, his recent plans for xAI and where he believes it will end up compared to its competitors are sure to stimulate conversation.

In a bold and characteristic response on X, Elon Musk fired back at a recent analysis that positioned his AI venture, xAI, as lagging behind industry frontrunners.

The post, from March 14, came as a direct reply to forecaster Peter Wildeford’s assessment, which drew from benchmarks and reporting to rank AI developers.

Wildeford placed Anthropic, Google, and OpenAI in a virtual tie at the top, with xAI and Meta trailing by about seven months. Chinese players like Moonshot, Deepseek, zAI, and Alibaba were estimated to be nine months behind, while France’s Mistral lagged by about a year and a half.

Musk’s response was vintage hyperbole, designed to rally supporters and dismiss doubters, something his responses on social media often do.

He claimed xAI would “catch up this year,” meaning by the end of 2026, erasing that seven-month deficit against the leaders. But he didn’t stop there.

Musk escalated his vision to 2029, predicting xAI would “exceed them all by such a long distance” that observers would need the James Webb Space Telescope, NASA’s orbiting observatory stationed about 930,000 miles from Earth, to spot whoever lands in second place. This analogy underscores Musk’s confidence in xAI’s trajectory, implying an astronomical lead that could redefine the AI landscape.

Breaking down these claims reveals Musk’s strategic optimism. First, the short-term catch-up: xAI, launched in 2023, has already released models like Grok, but recent benchmarks, including those for Grok 4.2, have shown it falling short in capabilities compared to rivals.

Anthropic’s Claude series, Google’s Gemini, and OpenAI’s GPT models dominate in areas like reasoning, coding, and multimodal tasks. Musk’s assertion suggests aggressive scaling in compute, talent, or architecture, perhaps leveraging xAI’s ties to Tesla’s Dojo supercomputers or Musk’s vast resources, to close the gap swiftly.

The longer-term dominance by 2029 paints an even more audacious picture. Musk envisions xAI not just parity but supremacy, outpacing competitors in innovation speed and model sophistication.

This could involve breakthroughs in energy-efficient training, real-world integration, like Tesla’s robotics, or ethical AI alignment, aligning with Musk’s stated goal of “understanding the universe.”

Critics, however, point to parallels with Tesla’s Full Self-Driving delays; one reply highlighted Musk’s 2023 promise of FSD readiness. Musk has made this promise for many years, and although the system has been strong and improving, it is still a ways off from the completely autonomous operation that was expected by now.

Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever

Musk’s comment highlights the intensifying U.S.-centric AI race, with xAI challenging the “three-way” dominance noted by Wharton professor Ethan Mollick, whom Wildeford quoted. As geopolitical tensions rise—evident in the Chinese firms’ lag—Musk’s tease could spur investment and talent wars.

Yet, it also invites scrutiny: Will xAI deliver, or is this another telescope-needed mirage? In an industry where timelines slip but stakes soar, Musk’s words keep the spotlight on xAI’s ambitious path forward.

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Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry

Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.

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Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.

Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.

While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.

Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.

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The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.

tesla-optimus-pilot-production-line

(Credit: Tesla)

This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.

The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.

The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.

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What is Digital Optimus? The new Tesla and xAI project explained

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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Credit: Grok

Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.

This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.

Tesla announces massive investment into xAI

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.

xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.

When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.

Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI

The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.

Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.

Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.

It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.

Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.

By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.

As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.

In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.

It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.

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