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SpaceX to in-house mass production of Starlink internet satellite hardware
SpaceX is rapidly expanding it’s Starlink internet constellation development to prepare for full-scale production and aims to bring nearly every major piece of satellite and network hardware and software in-house, according to details revealed in dozens of job postings.
While not explicit, this appears to indicate a significant convergence of multiple possible paths to an operational constellation. Put simply, SpaceX now intends to build every single major component of its 4400+ satellite network in-house. It’s almost easier to list the things SpaceX does not mean to build themselves, but here’s a stab at the components to be built in-house: satellite structures, laser (optical) data interlinks, on-orbit phased array antennae, digital signal processor (DSPs) software and hardware to aim those antennae, solar arrays, battery systems, power electronics, custom integrated circuitry and systems on a chip (SoCs), user terminals and larger gateways, network operations, production automation, autonomous satellite constellation management, and much, much more.
Remote camera has been retrieved, wet with morning dew…and WITH images! Awesome launch by SpaceX. @teslarati #SpaceX #Paz #Starlink pic.twitter.com/tDTXxZErN4
— Pauline Acalin (@w00ki33) February 22, 2018
While entire articles could be spent describing the complexities of every single one of the above subsystems, the point is that SpaceX appears to have gone all-in on building its own satellite constellation, departing from stances in the past that appeared to leave room for subcontracting and outsourcing the production of major parts of the network, particularly with respect to ground terminals and gateways. Postings for ground station and user terminal engineers describe a goal of medium to high volume in-house production of the critical network and customer-facing hardware, and an entry into the production of high volume consumer technology would be a truly eclectic and unprecedented step for a company theoretically focused on launch vehicle development and production and sustainable Mars colonization.
If anything, they speak to the truly vertical nature of SpaceX. Many technology development production companies would simply accede and accept the best subcontractor/outsourcing bid when entering into new territory truly outside of their internal expertise. SpaceX engineers and managers, however, seem to have concluded that the vast majority of hardware and corporate expertise they could co-opt is just not satisfactory for the purpose of building a paradigm-shifting satellite constellation; or as CEO Elon Musk noted in 2015, to “revolutionize the satellite side of things, just as we’ve done with the rocket side of things.”
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- SpaceX’s first Starlink prototypes launched in late February aboard a flight-proven Falcon 9 booster. (Pauline Acalin)
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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)
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- Falcon 9 roars into the dark California sky with PAZ and Starlink. (Pauline Acalin)
This new (and, in retrospect, unsurprising) trailblazing attitude also helps to explain the marginal delay to Musk’s original 2015 schedule, which estimated initial constellation operations (i.e. a few hundred satellites launched) would begin around 2020. Approximately a year later, SpaceX had built rough prototypes in the form of the original Microsat 1A and 1B twins. This initial foray into independent, long-term communications smallsats was shuttered fairly quickly, and neither of the demo satellites were launched. Instead, SpaceX dove back into prototype design and development, culminating roughly two years later with the March 2018 launch of two dramatically improved prototypes, known as Tintin A and B (or Microsats 2A and 2B in FCC licenses).
It seems probable that the source of this delay lay in an internal decision to dramatically reconfigure the internet constellation for far more in-house development, whereas the original Microsats were likely pieced together from a range of components derived from SpaceX’s Cargo Dragon program or more simply from commercial off-the-shelf (COTS) offerings. Instead, SpaceX’s Starlink development offices in Redmond, Washington and throughout California are staffed with as many as 400 to 500 employees dedicated in large part to the nascent program, similar (if not larger) in scale to OneWeb, the only noteworthy satellite internet competitor at present.
If SpaceX’s decision to push back Starlink’s operational debut by a few years in order to bring in-house almost every single critical subcomponent of Starlink pays off, the company could begin launching finalized satellites en masse as early as late 2019/early 2020, with a goal of offering limited service by 2021 per comments made by CEO Elon Musk. Starlink is likely being brought almost entirely in-house because Musk or other high-level executives and engineers see major room for improvement, improvements that could lower the cost of and improve the performance of lightweight communications satellites by an order of magnitude.
A flight-proven Falcon 9 prepares for launch in May 2018. SpaceX will likely launch at least one more pair of Starlink demo satellites from the West coast later this year (Pauline Acalin)
It will likely take a bit longer than initially expected, but SpaceX may yet still pave their path to Mars colonization with profits derived from a wildly successful and disruptive entrance into the broadband market.
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
