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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, 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.
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
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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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
