News
SpaceX building almost 1500 Starlink satellites per year
SpaceX has revealed a few key details about its burgeoning Starlink satellite internet constellation in a recent regulatory presentation, touching on overall investment, user terminal development, and its spacecraft manufacturing capabilities.
Already the single largest satellite constellation in the world by a factor of three or more, Starlink is more than 500 operational satellites strong after just nine months of launches, and the company has at least 5-8 more missions planned between now and the end of 2020. To further expand the world’s largest satellite constellation, though, SpaceX also needs to be the world’s most prolific satellite manufacturer by at least an order of magnitude.
Ever since SpaceX’s first dedicated Starlink launch in May 2019, the company has remained extremely secretive about the unprecedented satellite production infrastructure it also had to develop. Aside from a few comments by CEO Elon Musk and the occasional tidbit from regulatory documents or spaceflight conferences, very little is known and not a single photo has been released. An FCC ex parte presentation with a few specific details thus came as a surprise, revealing that SpaceX is building at least 120 Starlink satellites per month in its Redmond, Washington factory.
Based on past analysis of SpaceX’s Redmond facilities, the company has about 150,000 square feet (14,000 m^2) to work with, of which a third to half is likely dedicated to a satellite assembly line. Despite the relatively small facilities, SpaceX says it is actively building 120 satellites per month – equivalent to at least 1440 spacecraft annually. By mass, it means that SpaceX is churning out more than 30 metric tons (~69,000 lb) of satellites every single month, a figure almost certainly unprecedented in the history of satellite manufacturing.
Sustained over 12 months, that would equate to ~360 metric tons (10% heavier than a fully-fueled Falcon 9 V1.0 rocket) of satellites built every year. In short, with an extremely small (and thus efficient) base of operations, SpaceX is regularly producing a vast quantity of satellites – enough to indefinitely sustain two full Starlink launches per month. At that rate, SpaceX could fairly easily complete the Starlink constellation’s first ~4400-satellite phase in just three years.
Production capacity or efficiency would need to expand significantly for SpaceX to complete the second (~12,000 satellites) and third (~40,000 satellites) phases of the Starlink constellation, By then, though, the first phase would likely be generating substantial revenue, optimistically allowing SpaceX to self-fund future growth or at least dramatically reducing the need for fundraising.
Along those lines, the same FCC ex parte presentation included a note that “SpaceX has invested hundreds of millions of dollars in Starlink to date,” including “over $70 million developing and producing thousands of user terminals per month.” In other words, SpaceX has apparently spent less – and possibly much less – than $1 billion designing, manufacturing, and launching almost 600 satellites. For comparison, competitor OneWeb apparently spent more than $3.4 billion and filed for bankruptcy before it had launched even 100 satellites.
That exceptional efficiency will, as CEO Elon Musk has noted several times, hopefully make Starlink the first low Earth orbit (LEO) satellite internet constellation in history to not go bankrupt. The company hopes to begin rolling out a much wider Starlink beta test after the 14th v1.0 satellite launch – currently four launches away. If all goes well during that beta test, Starlink could become the first LEO internet constellation in history to begin generating significant revenue not long after.
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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
