CEO Elon Musk says SpaceX is churning out Starlink satellites faster than it can launch them, the best sign yet that the company is having some amazing success in what is already the most productive satellite factory in history.
Since SpaceX first revealed its radical flat-satellite Starlink design, stacking approach, and deployment mechanism back in May 2019, the company has successfully launched an incredible 300 satellites, ~290 of which are still functioning as intended. At this point, that means that Starlink is likely the largest satellite constellation in history by a factor of two, crushing the second largest’s ~150 satellites. Perhaps even more significant is the mass of SpaceX’s nine-month-old constellation, currently standing at more than 75 metric tons (165,000 lb) of satellites in orbit.
Despite the already awe-inspiring scale of SpaceX’s satellite internet constellation, the company’s Starlink factory is already so successful that the company is now unable to launch the spacecraft as quickly as they’re built. Given that SpaceX has maintained an average of ~1.3 Starlink launches per month since November 2019, many of which suffered significant delays as a result of weather or minor hardware issues, this likely means that SpaceX is building dozens more satellites than it can launch, probably creating its own internal launch manifest backlog as those surplus spacecraft pile up.
Considering the fact that SpaceX has gone from two prototype spacecraft to the proud owner of the largest satellite constellation in history in less than nine months, the fact that the company’s Starlink factory is already outpacing its launch capacity is arguably a good sign. While it’s likely that weather and hardware-related launch delays on the last few Starlink missions have made it harder than expected to stick to plans for an average of two Starlink launches per month, SpaceX isn’t falling that short of its classically lofty ambitions (a bit less than one Starlink launch every two weeks).
SpaceX may now be the first company in history to chronically suffer from its factories building more satellites than it can launch in a given time frame. In those terms, a surplus of flight-ready satellites is actually a highly desirable “problem” to have. Competitor OneWeb, for example, was forced to delay its first 34-satellite launch by two months after its new Florida factory suffered several production delays.
SpaceX, on the other hand, has to build almost twice as many satellites per launch, has effectively launched 35% of OneWeb’s entire constellation (~650 satellites) in the last three months alone, and still has an apparent backlog of satellites ready to head to orbit. As of March 3rd, SpaceX’s fifth launch of 60 upgraded Starlink v1.0 satellites and sixth launch overall (Starlink V1 L5 or Starlink-6) is scheduled to lift off no earlier than March 14th after slipping from February 14th, March 4th, and March 11th. The mission’s most recent delays were caused by an issue discovered in the Falcon 9 second stage assigned to launch Cargo Dragon’s CRS-20 mission, triggering SpaceX to swap it with Starlink V1 L5’s unaffected second stage.
After Starlink V1 L5, SpaceX has more batches of 60 Starlink satellites that – given Musk’s comments – might already be stacked and ready for flight, both of which could potentially fly in March or April. In the midst of its Starlink launch ambitions, SpaceX has scheduled Florida’s first polar launch in half a century on March 30th, followed by a historic US Air Force launch and landing no earlier than (NET) April 27th.
If Cargo Dragon successfully lifts off this Friday, SpaceX will reach an average of ~1.9 weeks per launch, a cadence that – if maintained – would set the company up for at least 27 launches in 2020. With room for improvement after several weather-related days: so far, so good.
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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
