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SpaceX launches three Falcon 9 rockets in 36 hours
SpaceX has successfully completed three Falcon 9 launches in just over 36 hours, highlighting the company’s continuous push towards ever-higher launch cadences in 2022.
In February, shortly after a NASA oversight panelist revealed that SpaceX was targeting 52 launches in 2022, CEO Elon Musk confirmed that the company’s goal was for “Falcon [to] launch about once a week” throughout the year. In October 2020, continuing a tradition of extremely ambitious SpaceX launch cadence targets, Musk had also tweeted that “a lot of improvements” would need to be made to achieve his goal of 48 launches – an average of four launches per month – in 2021. Ultimately, SpaceX fell well short of that target, but did set a new annual record of 31 launches in one year, breaking its 2020 record of 26 launches by about 20%. However, perhaps even more important than the new record was the fact that SpaceX was able to complete six launches in four weeks at the end of 2021.
That impressive and unexpected achievement would turn out to be an explicit sign of things to come in 2022.
SpaceX’s successful completion of three launches in 36.5 hours is merely an extension of that feat. In the same four-week period at the end of 2021, SpaceX completed three of those six launches in 69 hours. Two months later, SpaceX did it again, launching three Falcon 9 rockets from all three of its Falcon launch pads in 67 hours.
More importantly, SpaceX has also managed to sustain an average cadence of more than one Falcon launch per week throughout the first half of 2022, completing its 26th launch of the year on June 19th with another two launches planned before the end of the month. SpaceX has actually sustained that cadence for even longer. Beginning on November 24th, 2021, SpaceX has now completed 32 Falcon 9 launches in less than seven months.
The company’s latest hat-trick or triple-header began on Friday, June 17th, when Falcon 9 booster B1060 lifted off at 12:09 pm EDT from SpaceX’s NASA Kennedy Space Center LC-39A pad, helped carry another 53 Starlink V1.5 satellites into space, and became the first Falcon booster to launch and land 13 times. Starlink 4-19 was also SpaceX’s 49th dedicated Starlink launch, SpaceX’s 50th consecutively successful Falcon booster landing, and 100th successful Falcon booster reuse.
22 hours later, a second Falcon 9 rocket lifted off from SpaceX’s Vandenberg Space Force Base SLC-4E pad at 7:19 am PDT, Saturday, June 18th carrying the first of three SARah radar satellites for Germany and an unspecified number of rideshare payloads. For the third time this year, booster B1071 successfully boosted back to shore and touched down at SLC-4E’s LZ-4 landing pad shortly after liftoff.
Finally, at 12:27 am EDT on Sunday, June 19th, a third Falcon 9 rocket lifted off from SpaceX’s Cape Canaveral Space Force Station LC-40 pad carrying a single spare Globalstar-2 communications satellite and, apparently, several secret rideshare payloads. Falcon 9’s Globalstar launch occurred just over 14 hours after SARah-1, breaking SpaceX’s record time between two orbital launches.
Globalstar FM15 was also SpaceX’s 26th launch of 2022, averaging one launch every 6.5 days in the first half of the year. June isn’t over, however, and SpaceX still has plans to launch Starlink 4-21 on June 25th and the SES-22 geostationary communications satellite on June 28th. If both launches avoid delays, SpaceX will end the first half of 2022 with 28 successful orbital launches. Perhaps even more significantly, after another two launches in the last days of June, SpaceX will have launched 17 times in a single quarter – equivalent to 68 launches per year if sustained for four quarters. In the history of spaceflight, a single rocket family has never successfully launched more than 61 times in one year.
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
