News
SpaceX’s Starlink internet a step closer to customers as “user terminal” hiring ramps up
As SpaceX prepares to kick off an aggressive Starlink launch campaign in the next month or two, the company is also aggressively hiring build teams that will engineer and mass-produce crucial ground-based hardware, ranging from ground stations and mobile applications to the “user terminals” that will go in customer homes.
The proposed Starlink satellite internet constellation will be comprised of up to 12,000 satellites in low Earth orbit (LEO) and is designed to provide low latency high-speed broadband internet service the world over. Company CEO Elon Musk has previously discussed that a major focus of the constellation would be to provide reliable and fast internet service to rural and remote locations where existing service may be far too expensive or unreliable.
Over the last 6-12 months, an array of job listings have advertised well over a hundred new positions related to Starlink, with a recent trend towards prioritization of user terminal production at SpaceX’s Hawthorne, CA headquarters. SpaceX is also looking to expand its software development workforce to mature the software needed for user terminals and create a range of other customer-facing products, including a “Starlink Mobile” app for both Android and iOS devices.
Similar to current satellite TV and internet solutions, SpaceX’s Starlink internet service will require ground-based receivers – “user terminals” – at their location of use. By all appearances, SpaceX may also have plans to integrate a WiFi router directly into the terminal to make the user experience as seamless as possible, but it’s just as likely that SpaceX will simply include ports for users to connect their own routers. Musk has previously stated that the user terminals will use phased arrays antennas that will allow them to stay motionless on the ground while electronically ‘steering’ to ensure the best possible satellite connection.
The user terminals will be the connect-all hardware point that will “sit in (Starlink) customers’ homes” to “bridge the gap between OS software, flight software, antenna software, and modem software.” Presumably, the User Terminals will be far more advanced than current access modems and will also encompass a router that would allow satellite wifi service throughout the area of access. Past statements indicate that SpaceX intends for the terminals to be roughly the size of a small pizza box.
In line with user terminal planning, SpaceX has also begun hiring developers for a Starlink Mobile application. This will enable customers to enjoy “a seamless experience managing their accounts and internet access”, presumably offering something akin to the experience that current Tesla customers have with Tesla’s mobile apps.
The current Tesla app is a comprehensive experience that allows user monitoring and customization of every aspect of their Tesla products inclusing vehicles and Powerwall energy systems. The experience guides the user from set-up to everyday use of their various Tesla products.
From the senior software engineer job listing, it can be assumed that the Starlink Mobile app will be comparable to the Tesla app. The advertised position will “bring to life the mobile portal into Starlink.” It’s very likely that the Starlink Mobile app will allow the user to monitor device connections, download and upload speeds, and other customer-specific experiences such as account access and billing. The app will be built completely in-house and from the ground up to ensure that it is specified and tailored to meet the various requirements of a comprehensive and quality customer experience.
SpaceX is expected to ramp up the development and manufacturing of all Starlink supportive ground systems within the coming weeks and months. The advertised positions are all located in California – the software development and manufacturing of User Terminal Teams based in Hawthorne while the mobile application software engineer position is located in Los Angeles.
According to President and COO Gwynne Shotwell, SpaceX aspires to launch 2-4 more missions in 2019 and as many as 24 dedicated Starlink missions in 2020 alone, roughly translating to a Starlink launch ever two weeks. Customer launches would occur in the interim and SpaceX has made it clear that customers will come first, with Starlink missions then filling in the gaps left in SpaceX’s commercial manifest.
SpaceX ultimately believes that it can begin serving customers after as few as 6-8 launches with 60 Starlink satellites apiece, while initial global coverage will require 24 launches. Beyond those milestones, more launches (involving anywhere from 10,000 to 40,000+ additional satellites) would simply add bandwidth and allow SpaceX to expand its customer base and distribute additional capacity based on demand.
SpaceX’s next two Starlink missions are scheduled to launch no earlier than mid-November and December 2019.
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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
