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SpaceX Starlink ‘space lasers’ successfully tested in orbit for the first time

SpaceX has revealed the first successful test of Starlink satellite 'space lasers' in orbit, paving the way towards an even more powerful constellation. (SpaceX/Teslarati)

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SpaceX has revealed the first successful test of Starlink satellite ‘space lasers’ in orbit, a significant step along the path to an upgraded “Version 2” constellation.

In simple terms, those “lasers” are a form of optical (light-based) communication with an extremely high bandwidth ceiling, potentially permitting the wireless, high-speed transfer of vast quantities of data over equally vast distances. Of the ~715 Starlink satellites SpaceX has launched over the last 16 months, some 650 are operational Version 1 (v1.0) spacecraft designed to serve a limited group of customers in the early stages of the constellation. Prior to SpaceX’s September 3rd announcement, it was assumed that none of those satellites included laser interlinks, but now we know that two spacecraft – presumably launched as part of Starlink-9 or -10 in August – have successfully tested prototype lasers in orbit.

Ever since CEO Elon Musk first revealed SpaceX’s satellite internet ambitions in early 2015, those plans have included some form of interconnection between some or all of the thousands of satellites the company would need to launch. While a functional low Earth orbit (LEO) satellite internet constellation doesn’t intrinsically need to have that capability to function or be successful, inter-satellite links offer some major benefits in return for the added spacecraft complexity and cost.

The single biggest draw of laser interlinks is arguably the major reduction in connection latency (ping) they can enable compared to a similar network without it. By moving a great deal of the work of networking into orbit, the data transported on an interlinked satellite network would theoretically require much less routing to reach an end-user, physically shortening the distance that data has to travel. The speed of light (300,000 kilometers per second) may be immense but even on the small scale of the planet Earth, with the added inefficiencies inherent in even the best fiber optic cables, routing data to and from opposite ends of the planet can still be slowed down by high latency.

Without interlinks, Starlink and internet constellations like it function by acting more like a go-between for individual users and fixed ground stations that then connect those users to the rest of the Internet. Under that regime, the performance of constellations is inherently filtered through the Earth’s existing internet infrastructure and is necessitates the installation of ground stations relatively close to network users. If a satellite without interlinks can ‘see’ (and thus communicate with) customers but can’t ‘see’ a ground station from the same orbital vantage point, it is physically incapable of connecting those communications with the rest of the internet.

This isn’t a showstopper. As SpaceX’s very early Starlink constellation has already demonstrated through beta testers, the network is already capable of serving individual users 100 megabits per second (Mbps) of bandwidth with latency roughly comparable to average wired connections. The result: internet service that is largely the same as (if not slightly worse and less convenient than) existing fiber options. To fully realize a LEO internet constellation’s potential of being much better than fiber, high-performance laser interlinks are thus a necessity.

60 Starlink v1.0 satellites prepare for flight. (SpaceX)

With laser interlinks, the aforementioned connection dropout scenario would be close to impossible. In the event that an active satellite finds itself serving customers without a ground station in reach, it would route those forlorn data packages by laser to a different satellite with immediate ground station access. One step better, with enough optimization, user communications can be routed by laser to and from the ground stations physically closest to the user and their traffic destination. With a free-floating network of satellites communication in vacuum along straight lines, nothing short of a direct, straight fiber line could compete with the resulting latency and routing efficiency.

Interlinks offer one last significant benefit: by sacrificing latency, an interlinked network will be able to service a larger geographic area by allowing the connections of users far from ground stations to be routed through other satellites to the nearest ground station. Large-scale ground station installation and the international maze of permitting it requires can take an inordinate amount of time and resources for nascent satellite communications constellations

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SpaceX’s fully-interlinked Starlink Version 2 constellation is targeting latency as low as 8 milliseconds and hopes to raise the bandwidth limit of individual connections to a gigabit or more. As soon as a viable Starlink v2.0 satellite design has been finalized and tested in orbit, SpaceX will likely end v1.0 production and launches, entering the second phase of iteration after the v0.9 to v1.0 jump.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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India tells Elon Musk’s X to “Follow the Law” in latest censorship update

Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.

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Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.

On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.

India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.

Elon Musk shares details on X vs. Brazil conflict

The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.

This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.

Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.

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Tesla Cybercab launch preparations have begun

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Credit: TechOperator | X

Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.

A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.

The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.

While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:

Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.

It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.

Tesla starts testing its Starlink-integrated Cybercab on public roads

This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.

This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.

Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.

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Elon Musk says he ‘hopes AI is nice to us’

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Credit: Ministério Das Comunicações [CC BY:2.0]

Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.

Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”

Musk’s response was simple: “I hope AI is nice to us.”

The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.

A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.

The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.

Elon Musk breaks silence on OpenAI trial decision

These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.

Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.

He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.

Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.

Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.

Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.

Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.

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