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Startup fined $900k for launching illegal satellites, points to future space law challenges

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Swarm Technologies, Inc., a satellite startup aiming to create the world’s lowest-cost satellite network, has been fined $900,000 by the U.S. Federal Communications Commission (FCC) for illegally launching and deploying four unauthorized satellites into orbit in January 2018 on a commercial Indian satellite launch vehicle. The satellites in question were Swarm’s SpaceBEE vehicles, which measure one quarter the size of a traditional CubeSat, a class of small satellites measuring 10 cm in height, width, and depth. In December 2017, the FCC deemed the SpaceBEE size too small for the U.S. Air Force’s traditional technology to track with routine methods and declined a license, but the satellites were placed into orbit regardless. With satellite and rocket launch startups proliferating as space access becomes more affordable, the debate over ensuring safety in this international arena is likely expand.

Swarm requested an experimental license from the FCC in April 2017, a first step for any satellite operator to ensure compliance with current international space laws, and their plan was to launch in September 2017, although that date was later delayed. Spaceflight Industries was next hired to connect Swarm with a launch provider and ensure its integration with the rest of the rocket’s payload. After the FCC declined the license in December 2017, Swarm applied for a new license in January 2018 for satellites meeting CubeSat specifications, but the original SpaceBEEs were already loaded onto the contracted Indian Polar Satellite Launch Vehicle (PSLV) and subsequently launched on January 12, 2018.

When news of the SpaceBEE deployment broke, concerns over regulatory backlash spread throughout the satellite community. The FCC issued an Enforcement Advisory on April 12, 2018 warning about consequences for communications companies failing to comply with licensing requirements, including a note to launch providers on how launch activities may be impacted if an unauthorized satellite payload needs to be removed. In a decision released December 20, 2018, Swarm Technologies was ordered to pay the fine and implement a five-year compliance plan.

A depiction of Swarm’s SpaceBEE satellites, from their FCC license application. | Credit: Swarm Technologies/FCC

Since the very first satellite was successfully launched by the Soviet Union on October 4, 1957, activities in space have been largely conducted by national governments and companies affiliated with them. However, the new space era is quickly changing that environment, rapidly opening up the beyond-Earth domain to private citizens. Billionaires like Elon Musk of Tesla and SpaceX, Jeff Bezos of Amazon and Blue Origin, and Richard Branson of Virgin and Virgin Galactic have mostly been the face of private/commercial space industry in recent years, but the technologies they’ve developed are also ushering in a new wave of affordable access to space, and with it, new technologies that don’t fit the traditional mold of “old space”.

The legal foundation for current space laws is the 1967 Treaty on Principles Governing the Activities of States in the Exploration and Use of Outer Space, including the Moon and Other Celestial Bodies, i.e., the “Outer Space Treaty”. Under this Treaty and subsequent treaties and laws arising from it, states, or nations, rather, are responsible for any space activities conducted by their own nationals, meaning a regulatory process that must be enforced. Where access to space was once expensive and difficult, the significantly lowered threshold has brought in a field full of players ready to take their shot at participating in the coming space economy and maybe, as seen with Swarm Technologies, even take a few risks to get there.

While the illegal launch of Swarm’s satellites was caught rather quickly (first by the community of amateur space trackers) and action was taken to penalize it, what’s to stop nations in the future from lowering standards to attract private customers? As stated in the FCC’s Enforcement Advisory, “Satellites authorized by an administration other than the United States do not require any FCC approval if Earth station operations are exclusively outside the United States.” Pressure from the international community to comply with treaties will only work to the extent that 1) the penalties deter the profit potential from the industry; 2) the international community agrees the activity is actually unsafe; and 3) the resistance to reforming regulations to permit the activity in question is deemed justified. Innovation, especially out of Silicon Valley, has a history of breaking rules to bring about significant change; however, some would argue that space isn’t the place for that approach.

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The thrice-flown, Falcon 9 Block 5 rocket that put Swarm’s recent 3 satellites in orbit (all FCC approved): SpaceBEE-5, 6, and 7. | Credit: Pauline Acalin

The problem seems to be a simple matter of ethics: Don’t launch things into space that aren’t safe for Earth’s occupants. But according to the FCC, Swarm’s proposed satellites were merely “below the size threshold at which detection by the Space Surveillance Network (SSN) can be considered routine.” The licensing issue seemed to generally only be safety-related because of the satellites’ irregularity, not from the lack of actual tracking capability, something that is only going to increase as more players enter the new space arena.

Another point worth consideration is that Swarm’s SpaceBEE satellites are actually trackable using the same SSN network the FCC cited in its rejection of Swarm’s license request, and live tracking is ongoing via an independent tracking service called LeoLabs. According to Dr. Sara Spangelo, one of the co-founders of Swarm Technologies, the satellites are equipped with radar retro-reflector technology, something developed by a US-Navy research and development lab, which makes their radar signature as bright as a CubeSat. The FCC has also granted the company a temporary experimental authorization to test the previously-illegal satellites’ orbital and tracking data. Thus, the question for the future is not so much whether the safety concerns are valid, but whether preventative rules will be waived where newer technology can demonstrate their compliance outside traditional standards.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Elon Musk

Tesla confirms that work on Dojo 3 has officially resumed

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.

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(Credit: Tesla)

Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage. 

Tesla CEO Elon Musk confirmed the update in a recent post on X.

Tesla’s Dojo 3 initiative restarted

In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.

“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X. 

Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications. 

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Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.

Tesla’s AI roadmap

Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures. 

He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.

Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected. 

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Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online

Elon Musk shared his update in a recent post on social media platform X.

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Credit: xAI

xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.

Elon Musk shared his update in a recent post on social media platform X.

Colossus 2 goes live

The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world. 

But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.  

Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.

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Funding fuels rapid expansion

xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.

The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.

xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.

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Elon Musk

Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence

The Tesla CEO shared his recent insights in a post on social media platform X.

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Credit: Tesla

Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk. 

The Tesla CEO shared his recent insights in a post on social media platform X.

Musk details AI chip roadmap

In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle. 

He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.

Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.

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AI5 manufacturing takes shape

Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.

Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.

Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.

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