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NASA plans to purchase another seat on Russian Soyuz after SpaceX

NASA is on the cusp of its first commercial crew launch, ending dependence upon Russian rockets. But NASA hopes to establish an agreement where the two countries trade seats on each other's spacecraft for access to space. Credit: NASA

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NASA and SpaceX are preparing to launch astronauts from U.S. soil for the first time in nearly a decade. The collaboration is designed to give NASA more flexibility when it comes to launching crewed missions.

When the agency’s storied shuttle program came to an end in 2011, it left NASA dependent upon Russian rockets as its sole means of transporting astronauts to and from the space station. But the arrangement, which costs NASA roughly $85 million per seat, was always intended as a temporary solution.

NASA wanted to support a burgeoning commercial market, so it turned to private industry to build its next-generation space taxi. To that end, in 2014, the agency selected two companies — SpaceX and Boeing — to transport future crews. Each company would design and build its spacecraft capable of carrying humans. Six years later, SpaceX is set to become the first commercial company to transport astronauts, as its inaugural crewed flight prepares to take off on May 27.

The mission, known as Demo-2, is a flight test that will be used to certify the Dragon spacecraft for routine astronaut transport to and from the space station. During the mission, astronauts Bob Behnken and Doug Hurley will pilot the craft to the space station, where it will dock itself to the orbital outpost.

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NASA astronauts Bob Behnken and Doug Hurley are preparing to be the first commercial crew astronauts to fly to the space station. Credit: NASA

Their time on station is still to be determined, but the duo will make the most of their orbital stay. Not only will they evaluate how Dragon performs at different stages of the mission, but they will also assist fellow NASA astronaut Chris Cassidy with routine maintenance and station keeping.

Once Crew Dragon has been cleared to ferry people regularly, it will give NASA the flexibility to carry out missions of many different durations. To date, crews have spent anywhere from a couple of weeks in space, all the way up to a year. Their time on orbit is typically limited by the spacecraft that brought them, but by having multiple vehicles capable of flying to and from the space station, gives agencies around the world greater flexibility in mission planning.

Currently, NASA is in talks to purchase one more seat on a Russian Soyuz that would fly this fall. As it stands now, Chris Cassidy is the sole NASA astronaut on station, joined by two Russian colleagues. However, that leaves the station understaffed. Simply maintaining the orbital outpost is more than one crew member can handle. (A full space station crew is six.)

SpaceX’s Crew Dragon spacecraft is about to complete its last major task: transport two astronauts safely to the space station and back. It should then receive certification to routinely ferry crew. Credit: Richard Angle/Teslarati

Behnken and Hurley are scheduled to launch on May 27 and will stay on station for as many as 110 days. That’s because their ride is only certified to stay in space that long. The harsh space environment wears on hardware, and the Crew Dragon’s solar arrays contain sensitive electronics that have a limited space life.

So what happens when Behnken and Hurley come home? At this point, the schedules are a little unclear, but Cassidy could remain on station by himself until the next crew can launch. While preparing for Demo-2, SpaceX is currently finishing construction on the capsule that will carry its first official crew. Four astronauts will fly on Crew Dragon sometime late this year or early next year, providing a fresh batch of astronauts.

The Soyuz MS-12 spacecraft is launched with Expedition 59 crewmembers Nick Hague and Christina Koch of NASA, along with Alexey Ovchinin of Roscosmos, Friday, March 15, 2019, Kazakh time (March 14 Eastern time) at the Baikonur Cosmodrome in Kazakhstan. Photo Credit: NASA/Bill Ingalls

In the meantime, NASA wants to make sure it will be able to have access to the space station, so it’s in talks with Roscosmos to buy one more seat. After that deal is made, NASA has a much different idea for the future of its partnership with the Russian space agency. During a series of briefings in advance of Demo-2, NASA administrator Jim Bridenstine expressed how he hoped in the near future that NASA and Roscosmos could set up a trade agreement.

This would mean that U.S. astronauts would still fly on a Russian Soyuz and vice versa. Only instead of money exchanging hands, the two agencies would simply trade seats on each other’s vehicles.  The first international partner to fly on a Crew Dragon will be Soichi Noguchi of the Japanese Space Agency (JAXA), who will join NASA astronauts Victor  Glover, Mike Hopkins, and Shannon Walker as part of the Crew-1 mission.

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I write about space, science, and future tech.

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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.

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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.

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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.

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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.

Tesla announces massive investment into xAI

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

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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.

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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.

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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.

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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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