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Blue Origin teases first New Glenn rocket prototype at Blue Moon lander event

A cutaway view of New Glenn's massive payload fairing. Blue Origin appears to have begun building the first prototype fairing half as of October 2019. (Blue Origin)

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In May 2019, Blue Origin unveiled plans to build and launch “Blue Moon” lunar landers. Five months later, founder Jeff Bezos has announced a proposal for NASA’s Artemis Moon lander program that would augment Blue Moon with hardware from aerospace stalwarts Lockheed Martin, Northrop Grumman, and Draper to land astronauts on the Moon in the 2020s.

On top of that, Bezos also revealed the first unequivocal confirmation that Blue Origin has begun building full-scale prototype hardware for its ambitious New Glenn orbital launch vehicle – in this case, half of a massive carbon fiber payload fairing.

In a press release posted to the company’s website, Blue Origin’s Chief Executive Officer, Bob Smith, stated that “national challenges call for a national response. We are humbled and inspired to lead this deeply committed team that will land NASA astronauts on the Moon.” The national team will be managed with Blue Origin as the principal contractor and “[combine] our partners’ heritage with our advance work on the Blue Moon lunar lander and its BE-7 engine.”

Solving the lunar landing equation

Each company was selected based on a demonstrated area of expertise that solves a very specific piece of the equation that is landing astronauts on the moon. Blue Origin will serve as the primary contractor leading mission engineering and assurance, as well as providing the lunar Descent Element, Blue Moon. Lockheed Martin will provide the reusable Ascent Element vehicle and lead the operations and flight training of the crew, while Northrop Grumman provides the Transfer Element vehicle to deliver Blue Moon to the lunar surface.

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Draper’s contribution is integral to mission success. It will provide a navigation system “designed to give crewed missions precise location and navigation data needed for safe and accurate lunar and planetary landings” as outlined in a NASA Space Technology Mission Directorate statement earlier this month. The Draper navigation system is expected to debut during a launch of Blue Origin’s suborbital rocket, New Shepard as proof of concept by year’s end.

A render of a Blue Moon lander modified to land astronauts (and a separate ascent stage) on the surface of the Moon. (Blue Moon)

Debuting super-heavy rocket hardware

During his IAC presentation, Bezos revealed a video of what is almost certainly the first full-scale prototype hardware of Blue Origin’s reusable New Glenn rocket. In the clip, a massive carbon-composite payload fairing half is moved inside an even larger curing oven located on Blue Origin’s Cape Canaveral, FL campus, offering an incredibly rare glimpse inside the company’s purported New Glenn factory.

New Glenn’s payload fairing will measure 7m (23 ft) wide and roughly 22m (72 ft) tall, dwarfing the 5ish-meter options currently used by SpaceX and ULA. As of now, New Glenn’s payload fairing will be the largest expendable fairing on Earth when it debuts in 2021 or 2022.

Aside from a Blue Moon lander mockup, Blue Origin also brought an entire BE-4 engine to IAC 2019. Seven BE-4s will power New Glenn’s reusable first stage and the United Launch Alliance (ULA) has also selected BE-4 to power its Vulcan booster. Capable of producing roughly 550,000 lbf (2400 kN) of thrust, Blue Origin is slowly but surely qualifying BE-4 for flight and recently began its first full-thrust static fires at the company’s Van Horn, Texas test facilities.

While Bezos’s presentation provided the briefest of views inside Blue Origin’s rocket factory, Space Coast local Julia Bergeron posted a photo on Twitter showing an impressive fleet of cranes hard at work building Blue Origin’s LC-36 New Glenn launch pad in Cape Canaveral, Florida.

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The Blue Origin Cape Canaveral factory where the massive New Glenn rocket is being constructed and an artist rendering of Launch Complex 36 where it will launch from. (Blue Origin)

Blue Origin is notoriously hesitant to share much of anything about its next-generation New Glenn rocket, so it’s a pleasant surprise to receive even the briefest of glimpses behind the scenes. Combined with Blue’s undeniable rocket propulsion expertise and shrewdly political (albeit unsavory) approach to industry collaboration, the company is clearly here to stay and is certainly doing everything it can to give NASA an offer it simply can’t refuse.

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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.

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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.

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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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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.

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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.

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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.

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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.

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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