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Cosmic Space

Elon Musk lays out a new vision as SpaceX acquires xAI

SpaceX CEO Elon Musk says he’s making space-based artificial intelligence the “immediate focus” of a newly expanded company that not only builds rockets and satellites, but also controls xAI’s generative-AI software and the X social-media platform.

That’s the upshot of today’s announcement that SpaceX has acquired xAI. The Information quoted unnamed sources as saying that xAI was valued at $250 billion, while SpaceX’s value was set at a trillion dollars. That would make SpaceX the most valuable private company in the world — but because Musk held a controlling interest in both companies, those valuations may be somewhat subjective.

Ross Gerber, an investment adviser who tracks Musk’s business dealings, quipped on X that the world’s richest person decided to go ahead with the acquisition after “a short negotiation with himself.”

Musk said the combination of SpaceX and xAI would facilitate the creation of a new constellation of orbital data centers. SpaceX is already seeking approval from the Federal Communications Commission to put up to a million satellites in low Earth orbit for such a constellation.

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GeekWire

Startup has big plans for robotic arms powered by AI

A space startup founded by veterans of Jeff Bezos’ Blue Origin space venture is recruiting partners in its quest to build robotic arms powered by artificial intelligence.

Founded in late 2024, Puyallup, Wash.-based Orbital Robotics is still in its infancy — but it has already raised about $310,000 in funding. Orbital Robotics CEO Aaron Borger told GeekWire that the company is working with a stealthy space venture on an orbital rendezvous project for the U.S. Space Force, with a series of demonstration missions scheduled in the next year and a half.

And that’s just the start: Borger and his teammates are trying to get traction for a plan that could give NASA’s aging Hubble Space Telescope a much-needed boost.

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GeekWire

Starcloud plans its next power moves for AI in space

After taking one small but historic step for space-based AI, a Seattle-area startup called Starcloud is gearing up for a giant leap into what could be a multibillion-dollar business.

The business model doesn’t require Starcloud to manage how the data for artificial intelligence applications is processed. Instead, Starcloud provides a data-center “box” — a solar-powered satellite equipped with the hardware for cooling and communication — while its partners provide and operate the data processing chips inside the box.

Starcloud CEO Philip Johnston said his company has already worked out a contract along those lines with Denver-based Crusoe Cloud, a strategic partner.

“In the long term, you can think of this more like an energy provider,” he told GeekWire. “We tell Crusoe, ‘We have this box that has power, cooling and connectivity, and you can do whatever you want with that. You can put whatever chip architecture you want in there, and anything else.’ That means we don’t have to pay for the chips. And by far the most expensive part of all this, by the way, is the chips. Much more expensive than the satellite.”

If the arrangement works out the way Johnston envisions, providing utilities in space could be lucrative. He laid out an ambitious roadmap: “The contract is 10 gigawatts of power from 2032 for five years, at 3 cents per kilowatt-hour. That comes to $13.1 billion worth of energy.”

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GeekWire

How AI can help scientists head off water woes

Microsoft and NASA say they’re applying artificial intelligence to a challenge that has become increasingly urgent: how to cope with flooding and other disasters driven by extreme weather.

The result of their efforts is Hydrology Copilot, a set of AI agents aimed at making hydrological data easier to access and analyze. The platform is built on the foundation that was established for NASA Earth Copilot, a cloud-based AI tool that can sift through petabytes of Earth science data.

Hydrology is the scientific study of Earth’s water cycle, which encompasses precipitation, runoff, evaporation and the movement of water through rivers, lakes and soil. It’s not just an academic exercise: Hydrologic insights are put to use in fields ranging from agriculture to forestry to urban development.

“NASA has long produced advanced hydrology and land-surface datasets, powering breakthroughs in drought early-warning systems, environmental planning and environmental research,” Juan Carlos López, a senior solution specialist at Microsoft who focuses on space and AI, wrote in a blog post. “Yet despite their value, these datasets and the specialized tools required to navigate and interpret them remain difficult to access for many who could benefit most.”

That’s where Hydrology Copilot comes in: Powered by Microsoft Azure OpenAI Service and Microsoft Foundry, the platform lets researchers query NASA’s data using straightforward questions — for example, “Which regions may be facing elevated flood risk?”

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GeekWire

Tech pundits get snarky over the coming AI bubble

How will the companies that have invested tens of billions of dollars in the infrastructure for artificial intelligence fare when the enshittification hits the fan? That question came in for a lot of attention — and snark — when tech pundits Cory Doctorow and Ed Zitron sat down in Seattle to muse about what’s happening in the world of AI.

Both men know a thing or two about enshittification, the process by which tech offerings gradually turn to crap due to the hunger for profits. Doctorow’s Seattle stopover was part of a publicity tour for his newly published book on the subject, “Enshittification: Why Everything Suddenly Got Worse and What to Do About It.”

For this week’s appearance at the Seattle Public Library, he was paired with Zitron, a public relations specialist, podcaster and writer who surveys the tech scene with a critical eye.

The way they see it, the bursting of the AI investment bubble is a given. And that’s not by any means a contrarian view. Even Microsoft CEO Satya Nadella and Amazon founder Jeff Bezos have acknowledged that the AI tech sector seems likely to go through some retrenchment, while insisting it will be followed by a resurgence that will bring huge benefits to society.

That’s where Doctorow and Zitron part ways with Nadella and Bezos.

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GeekWire

How AI and other tech trends are boosting space ventures

Artificial intelligence and other technological trends are smoothing the way for commercial space ventures ranging from multibillion-dollar companies to a new wave of startups.

It probably comes as no surprise that Blue Origin, the space company created by Amazon founder Jeff Bezos, is taking advantage of AI. “You can imagine this is a favorite area of our founder,” said Ariane Cornell, Blue Origin’s vice president of New Glenn strategy and business operations. “So, just generally, we are using it across the board.”

But other AI-fueled applications might raise an eyebrow. For example, Rebel Space is helping satellite companies generate synthetic data that could point to a potential valve failure long before the spacecraft is launched. “The AI you trained would see it, and you would prevent a massive mission failure in the future,” said Carrie Marshall, the startup’s co-founder and CEO.

Cornell, Marshall and other executives reflected on the trends accelerating the space industry this week during the Seattle Space Superiority Summit, presented on Sept. 11 by FUSE VC at the Museum of Flight.

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GeekWire

AI tool is built to boost the hunt for gravitational waves

The Laser Interferometer Gravitational-Wave Observatory, or LIGO, has already won its researchers a Nobel Prize — and now artificial intelligence is poised to take LIGO’s search for cosmic collisions to the next level.

Google DeepMind and the LIGO team say they’ve developed an AI tool called Deep Loop Shaping that has been shown to enhance the observatory’s ability to track gravitational waves — faint ripples in the fabric of spacetime that are thrown off by smash-ups involving black holes and massive neutron stars.

The researchers describe the technique in a proof-of-concept study published today by the journal Science. They hope to make Deep Loop Shaping part of routine operations at LIGO’s detectors in Louisiana and on the Hanford nuclear site in Washington state.

“Deep Loop Shaping is revolutionary, because it is able to reduce the noise level in the most unstable and most difficult feedback loop at LIGO,” lead author Jonas Buchli, a research scientist at Google DeepMind, told reporters.

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Fiction Science Club

How humans can hold the line against AI hype

Don’t call ChatGPT a chatbot. Call it a conversation simulator. Don’t think of DALL-E as a creator of artistic imagery. Instead, think of it as a synthetic media extruding machine. In fact, avoid thinking that what generative AI does is actually artificial intelligence.

That’s part of the prescription for countering the hype over artificial intelligence, from the authors of a new book titled “The AI Con.”

“‘Artificial intelligence’ is an inherently anthropomorphizing term,” Emily M. Bender, a linguistics professor at the University of Washington, explains in the latest episode of the Fiction Science podcast. “It sells the tech as more than it is — because instead of this being a system for, for example, automatically transcribing or automatically adjusting the sound levels in a recording, it’s ‘artificial intelligence,’ and so it might be able to do so much more.”

In their book and in the podcast, Bender and her co-author, Alex Hanna, point out the bugaboos of AI marketing. They argue that the benefits produced by AI are being played up, while the costs are being played down. And they say the biggest benefits go to the ventures that sell the software — or use AI as a justification for downgrading the status of human workers.

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Fiction Science Club

Dictators weaponize new technologies in fact and fiction

When Ray Nayler began writing his science-fiction novel about a repressive regime powered by artificial intelligence, he didn’t expect the story to be as timely as it turned out to be. He really wishes it wasn’t.

“This is not a world that I think we should want to live in, and I would love it if it is a world that we completely avoid, and if the book seems in 10 to 20 years to be extraordinarily naive in its predictions,” Nayler says in the latest episode of the Fiction Science podcast.

Nayler’s new novel, “Where the Axe Is Buried,” draws upon his experience working on international development in Russia and other former Soviet republics for the Peace Corps and the U.S. Foreign Service. “I added it up, and I’ve spent over a decade in authoritarian states,” he says. “And so I have, fortunately or unfortunately, a lot of experience with this problem.”

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GeekWire

Prediction: Human-level AI is just a few ‘miracles’ away

Will artificial intelligence ever catch up with human intelligence? And if it does, is humanity doomed? Intellectual Ventures CEO Nathan Myhrvold, who had the job of predicting the future of tech during Microsoft’s early years, was ready with some answers this week at GeekWire’s Microsoft@50 anniversary event.

The feature that AI still lacks is the ability to create a new abstract concept, “imbue it with meaning and then reason about it,” said Myhrvold, who joined Microsoft in 1986 and served as the company’s first chief technology officer.

“I think we’ll get there, but that’s at least one miracle that needs to be figured out, and I variously have thought there was like three to five miracles that need to be done. Who knows?” he said during the March 20 event at Town Hall Seattle. “And that could happen tomorrow, or maybe it already happened tonight, and they just haven’t told us. Or it could take another 10 years.”

GeekWire co-founder Todd Bishop returned to the topic a minute later. “Did I hear correctly that we’re three to five miracles away from AI that’s as powerful or as intelligent as humans?” he asked.

“Yes,” Myhrvold replied.