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SpaceX’s ultimate ace in the hole is its Starlink satellite internet business
In a 2018 report on the current state of the satellite industry, the rationale behind SpaceX’s decision to expand its business into the construction and operation of a large satellite network – known as Starlink – was brought into sharp contrast, demonstrating just how tiny the market for orbital launches is compared with the markets those same launches create.
First and foremost, it must be acknowledged that SpaceX’s incredible strides in launch vehicles over the last decade or so have been explicitly focused on lowering the cost of access to orbit, the consequences of which basic economics suggests should be a subsequent growth in demand for orbital access. If a sought-after good is somehow sold for less, one would expect that more people would be able and willing to buy it. The launch market is similar, but also very different in the sense that simply reaching orbit has almost no inherent value on its own – what makes it valuable are the payloads, satellites, spacecraft, and humans that are delivered there.
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- An overview of space industry in 2017, produced by Bryce Space & Technology for the 2018 State of Satellite Industry Report.
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- SpaceX’s first two Starlink prototype satellites are pictured here before their inaugural Feb. 2018 launch, showing off a utilitarian design. (SpaceX)
As a consequence, if the cost of access to orbit plummets (as SpaceX hopes to do with reusability) but the cost of the cargo still being placed there does not, there would essentially be no reason at all for demand for launches to increase. For there to be more demand for cheaper launches, the cost of the satellites that predominately fuel the launch market also needs to decrease.
One of the first two prototype Starlink satellites separates from Falcon 9’s upper stage, March 2018. (SpaceX)
Enter Starlink, SpaceX’s internal effort to develop – nearly from scratch – its own highly reliable, cheap, and mass-producible satellite bus, as well as the vast majority of all the hardware and software required to build and operate a vast, orbiting broadband network. Add in comparable companies like OneWeb and an exploding landscape of companies focused on creating a new generation of miniaturized satellites, and the stage has truly begun to be set for a future where the cost of orbital payloads themselves wind up dropping just as dramatically as the cost of launching them.
Just by sheer numbers alone, stepping from launch vehicle and spacecraft production and operations into the satellite manufacturing, services, and connectivity industries is a no-brainer. Bluntly speaking, the market for rocket launches makes up barely more than one-sixtieth – less than 2% – of the entire commercial satellite industry, while services (telecommunications, Earth observation, science, etc.) and equipment (user terminals, GPS receivers, antennae, etc) account for more than 93%. Even the satellite manufacturing industry taken on its own is more than three times as large as the launch industry – $15.5b versus $4.6b in 2017.
In other words, even if SpaceX was to drop the cost of Falcon 9, Heavy, and BFR launches by a factor of 10 and the market for launches expanded exponentially as a result (say 50-100x), the market for launches would still be a tiny fraction of the stagnant, unchanged, unimproved satellite services and production industries. Put simply, there is scarcely any money to be made in rocket launches when compared with literally any other space-related industry.
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- An overview of just the commercial aspects of the satellite industry. (SIA)
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- Falcon Heavy’s inaugural launch, February 2018. (Tom Cross)
While far from a done deal, Starlink is thus without a doubt the most promising established method for SpaceX to dramatically increase its profitable income, income which could thus be invested directly in launch vehicles, space resource utilization, sustainable interplanetary colonies, and more, all while potentially revolutionizing global freedom of connectivity.
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
