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SpaceX Falcon 9 rocket sets reusability record, launches heaviest payload yet
SpaceX Falcon 9 booster B1051 has become the company’s ‘fleet leader’ after acing its 12th orbital-class launch and landing – a new record for the rocket family.
After a roughly 90-minute weather delay, Falcon 9 lifted off without issue around 12:48 am EST on March 19th. Booster B1051 touched down on drone ship Just Read The Instructions (JRTI) about nine minutes later, followed by the successful deployment of 53 Starlink V1.5 satellites just over an hour after launch. Starlink 4-12 was SpaceX’s 11th successful launch in the first 11 weeks of 2022. SpaceX CEO Elon Musk says that Starlink 4-12 was also the heaviest payload ever launched by Falcon 9, weighing in at 16.25 metric tons or ~35,800 pounds.
It’s not entirely clear how SpaceX was able to expand Falcon 9’s performance envelope or how far the envelope was pushed. In May 2019, Musk actually claimed that the Starlink V0.9 payload would weigh “18.5 tons” and be SpaceX’s heaviest payload ever, whereas three years later he says Starlink 4-12 set a new record of 16.25 metric tons. Assuming Musk was referring to short tons in 2019 and that SpaceX’s Starlink payload adapter and the tensioning rods that hold the stack together are roughly the same weight (~3 mT) three years later, the true total mass of Starlink 4-12’s payload could be as high as 19-19.5 metric tons (~42,000 lb). Its 53 Starlink V1.5 satellites, meanwhile, would weigh about 307 kilograms (~675 lb) each.
In other words, Starlink 4-12’s record-breaking payload could be up to 2.5 metric tons – about 15% – heavier than the Starlink V0.9 payload that set SpaceX’s internal record in 2019.
SpaceX says a Falcon 9 rocket is on track to launch Starlink 4-12 – a new batch of 53 satellites – no earlier than (NET) 11:24 pm EST on Friday, March 18th (03:24 UTC 19 March).
While ‘just’ the latest in an increasingly routine line of Starlink launches, SpaceX has confirmed that the mission will also set a new record for Falcon 9 reusability. Setting minor records is practically just as common for the average SpaceX launch but this particular record is more significant: if all goes according to plan, booster B1051 will become the first Falcon 9 first stage to complete 12 orbital-class launches and landings, pushing the envelope that much further.
The second oldest Falcon 9 booster that’s still operational, B1051 debuted in a significant way on March 2nd, 2019 by supporting Demo-1, Crew Dragon’s first uncrewed test flight. The launch was a perfect success and simultaneously kicked off the prolific careers of Crew Dragon and Falcon 9 B1051, both of which continue to have an excellent track record. Since Demo-1, B1051 has also supported the launches of Canada’s RADARSAT constellation, SiriusXM’s SXM-7 radio satellite, and 469 Starlink spacecraft spread over eight separate missions.
Starlink 4-12 will be its 12th launch and is set to occur just over two weeks after the third anniversary of its launch debut, translating to an average of one launch every three months or ~93 days. As an older booster and a fleet leader for several reusability milestones, B1051’s average turnaround time between launches – ~100 days – isn’t exceptionally impressive, though the booster has still accomplished a great deal.
However, newer boosters like B1058 and B1060 – both of which have much faster average turnaround times – are tied with B1051 at eleven flights each. One of the two is almost guaranteed to supersede B1051 in the very near future and become SpaceX’s new fleet leader, meaning that either B1058 or B1060 is likely to be the first to set new reusability records after B1051’s 12th flight.
Falcon 9 B1060, for example, has flown 11 times in 611 days, averaging one launch every 55 days and 61 days per reuse. B1060’s last two turnarounds have been under 50 days. B1058 is very similar. In other words, both B1058 and B1060 could feasibly overtake B1051 as early as May or June 2022 and could both potentially complete their 15th, 16th, or even 17th launches before the end of the year.
As such, this could be Falcon 9 B1051’s last opportunity to lead SpaceX’s fleet of Falcon boosters. Tune into SpaceX’s official webcast to watch Starlink 4-11 live around 11:10 pm EST (03:10 UTC).
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
