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SpaceX’s next-gen Falcon Heavy closer to reality as side booster leaves factory
A duo of rocket spottings on November 9th and 10th confirm that SpaceX’s next Falcon Heavy rocket – an amalgamation of three Falcon 9 boosters, an upper stage, and extensive modifications – is already in the late stages of manufacturing and is nearing the beginning of integrated structural and static fire testing.
As of now, this Falcon Heavy side booster could end up supporting either or both of two near-term launch contracts in place for the rocket, communications satellite Arabsat 6A or the US Air Force’s second Space Test Program (STP-2) launch
SpaceX's second Falcon Heavy is slowly but surely coming together 😀 https://t.co/AYJsQ8Mld5
— Eric Ralph (@13ericralph31) November 13, 2018
The question of the hour – at least for Falcon Heavy – is which of those two available payloads will be atop the rocket on its first truly commercial launch. While suboptimal, a few general characteristics of each payload, SpaceX’s history of commercial launches, and Falcon Heavy itself can offer a hint or two.
Triple the rocket, triple the trouble
Thanks in large part to the fact that the first integrated Falcon Heavy was composed of two relatively old Falcon 9 booster variants and a center core that was quite literally a one-off rocket, the process of reenginering and building another Falcon Heavy rocket off of the family’s newest Block 5 variant has likely been far harder than simply building another Falcon Heavy. Although all three original Falcon Heavy boosters (B1023, B1025, and B1033) were in the same league as Block 5, their Block 2 and Block 3 hardware was designed for approximately 10% less thrust and are almost entirely different vehicles from the perspective of structures and avionics.
Perhaps even more importantly, it’s unknown whether Falcon Heavy Block 1 (for lack of a better descriptor) was designed with serious reusability in mind, at least in the same sense as Falcon 9 Block 5 was. For instance, a major portion of the rocket’s extreme complexity and difficulties lies in the basic need to transmit three times as much thrust through the center core. To do that and do it without rocket-powered separation mechanisms, SpaceX had to develop structural attachments and connections capable of surviving unbelievable mechanical and thermal stresses for minutes on end.
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- The first Falcon Heavy was a Frankenstein’s monster of sorts. (SpaceX)
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- Falcon Heavy is seen here lifting off during its spectacular launch debut. (SpaceX)
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- A Falcon Heavy side booster was spotted eastbound in Arizona on November 10th. (Reddit – beast-sam)
Clearly, this was an unfathomably difficult problem to solve in such a manner that Falcon Heavy would work at all the first time. Factor in the strategic need for those same components to survive repeated cycles of those stresses with minimal refurbishment in between and the problem at hand likely becomes a magnitude more difficult, at least. In large part, this helps to explain why there will end up being a minimum of 11-12 months between Falcon Heavy’s first and second launches.
Arabsat or STP?
Over the course of SpaceX’s last 2-3 years of commercial launch activity, the company and its customers have demonstrated time and time again a reliable pattern: commercial customers (in the sense of private entities) are far more willing to take risks with new technologies than SpaceX’s government customers. NASA’s Commercial Resupply Services is the exception for the latter group but also has no Falcon Heavy launch contracts. For Falcon Heavy, there are thus main three options at hand.
- Arabsat 6A launches first with 1-2 flight-proven boosters; the Air Force’s STP-2 mission flies on an all-new Falcon Heavy 4-6 months later.
- SpaceX builds entirely new Falcon Heavy rockets for both customers, requiring four new side boosters and two new center cores.
- STP-2 launches first on an all-new Falcon Heavy; Arabsat 6A launches second on the first flight-proven Falcon Heavy after 6+ months of additional delays.
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- The USAF’s STP-2, a combination of a few dozen different satellites. (USAF)
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- The communications satellite Arabsat-6A. (Lockheed Martin)
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- LZ-1 and LZ-2, circa February 2018. (SpaceX)
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- A closeup of one of Falcon Heavy’s side boosters after landing. (SpaceX)
Arabsat is far more likely to accept – for a significant discount – a ride aboard the first flight-proven Falcon Heavy, especially if it means preventing more major launch delays. If the Falcon Heavy side booster spotted eastbound last week is a refurbished Block 5 booster rather than a new rocket, than option 1 is the easy choice for most probable outcome. The real pack leader for Falcon Heavy Flight 2, however, will be the completion of a new Block 5 center core and its shipment to Texas for structural and static fire testing.
Time will tell. For now, a completed Falcon Heavy side booster is the best sign yet that SpaceX may manage the rocket’s second launch in the first quarter of 2019, whichever launch that may be.
Elon Musk
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.
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.
xAI will catch up this year and then exceed them all by such a long distance in 3 years that you will need the James Webb telescope to see who is in second place
— Elon Musk (@elonmusk) March 14, 2026
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.
Elon Musk
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.
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.
Samsung’s Tesla AI5/AI6 chip factory to start key equipment tests in March: report
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.
(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.
Credit: @serobinsonjr/X
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.
Elon Musk
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.
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.
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
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.
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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.
Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving.
We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.
— Elon Musk (@elonmusk) March 12, 2026
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.
Elon Musk teases crazy outlook for xAI against its competitors
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
