News
SpaceX could upgrade Starlink constellation with tens of thousands of satellites
Filings and an official statement confirm that SpaceX could eventually build a Starlink internet constellation with tens of thousands of satellites, several times more than the company’s already ambitious plans.
“As demand escalates for fast, reliable internet around the world, especially for those where connectivity is non-existent, too expensive or unreliable, SpaceX is taking steps to responsibly scale Starlink’s total network capacity and data density to meet the growth in users’ anticipated needs.”
SpaceX – October 15th, 2019
Uncovered through regulatory filings published on the International Telecommunications Union’s (ITU) eSubmission portal, the FCC filed documents hinting at plans for tens of thousands of new communications satellites. It was eventually confirmed by the ITU and eventually the company itself that SpaceX was behind the new filings, altogether accounting for up to 30,000 additional Starlink satellites.
Prior to this new filing, the ceiling for SpaceX’s Starlink satellite internet constellation was set around 11,900 spacecraft – 4400 in several low Earth orbits (LEO) and another 7500 in very low orbit (VLEO). Put simply, even the most ardent supporters and potential benefactors of such a colossal satellite constellation have never taken those particular numbers all that seriously – 12,000 satellites is nearly six times as many operational spacecraft currently in orbit.
To build even a fraction as many satellites would take resources on the order of a small country without a revolution in satellite manufacturing and mass production. Assuming a cost as low as $5 million per satellite (more or less unprecedented), launching just the first 4400-satellite segment would cost SpaceX a minimum of $22 billion, while the full 11,900 would be more like $60 billion.
And yet, as improbable as it sounds next to today’s satellite production status quo, CEO Elon Musk indicated that SpaceX’s very first 60 Starlink prototypes – launch in May 2019 – cost less than the launch itself. This implies that the cost of each of those beta spacecraft was probably $1 million at most and likely closer to $500,000 apiece. Around that price point, launching thousands of relatively high-performance satellites becomes far more reasonable, even if the figures are still substantial.
4400 satellites would become ~$2 billion, while ~12,000 satellites would become $6 billion. Combined with SpaceX’s new ITU filings, the current maximum of ~42,000 satellites might cost something like $20 billion – a huge price tag, no doubt, but far from impossible. Important to note is that SpaceX almost certainly plans to begin drawing significant income from its Starlink constellation after as few as several hundred satellites have been launched. SpaceX has already raised more than $1 billion to get Starlink close to that point.
Also critical is the fact that building hundreds (let alone thousands) of satellites annually will allow SpaceX to tap into economies of scale quite literally unprecedented in the history of satellite manufacturing, meaning that it’s hard to accurately judge how low the per-satellite cost might eventually fall. Regardless, at the moment, SpaceX’s filings for an additional 30,000 possible satellites are undoubtedly more of an act of “just in case” than a sign of firm plans.
In the present, SpaceX has plans for as many as four additional Starlink v1.0 launches between now and the end of 2019, although it looks likely that that may shrink to 1-2 missions. The next Starlink mission (deemed Starlink 1) is expected no earlier than late-October or November.
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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.”
News
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
