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SpaceX breaks pad turnaround record with two Falcon 9 launches in six days
SpaceX has completed its 43rd launch of 2022 and 62nd dedicated Starlink launch overall, breaking a launch pad turnaround record in the process.
That pad – Cape Canaveral Space Force Station (CCSFS) Launch Complex 40 (LC-40) – is the single most important cog in SpaceX’s Falcon 9 launch machine, significantly increasing the significance of what might otherwise be ‘just’ another broken record for a company that is famous for never settling.
Following several delays linked to another weather-plagued Starlink launch (4-34) that flew out of the same pad, a Falcon 9 rocket lifted off from LC-40 on SpaceX’s Starlink 4-35 mission at 7:32 pm EDT (23:32 UTC), Saturday, September 24th. As usual, the mission used a flight-proven Falcon 9 booster (B1073), two flight-proven payload fairing halves, and an expendable second stage. As usual, all four components performed flawlessly, and a new batch of 52 Starlink V1.5 satellites was deployed about 15 minutes after liftoff.
Just the latest of dozens completed since May 2019, SpaceX’s Starlink missions have become extraordinarily routine – a testament to the company’s relentless pursuit of perfection, given just how difficult it is to successfully launch a rocket once. 62 dedicated Starlink launches later, Falcon 9 has successfully delivered every single Starlink satellite it has ever carried (almost 3400 spacecraft) into the proper orbit, losing only two boosters in the process.
But even though the missions have become routine, SpaceX has spent every waking second optimizing its rockets and operations to squeeze more performance and more cadence out of each part. The results can only be described as a resounding success. In 2018 and 2019, SpaceX launched an average of 17 Falcon rockets per year. SpaceX’s annual cadence grew to 26 launches in 2020 and 31 in 2021.
That progress pales next to the cadence SpaceX is on track to achieve in 2022. In less than nine months, the company has completed 43 Falcon 9 launches. Before the end of July, barely six months into the year, SpaceX had beaten its annual record of 31 launches. If it can maintain the same average pace it’s sustained over the last 12 months, SpaceX could realistically complete 58 Falcon launches in 2022. If it continues the even more impressive pace it’s achieved in Q3 (~17 launches), it could manage 60+ launches this year.
Only one other rocket family in history (the Soviet R-7) has successfully completed more launches in a calendar year.
SpaceX, of course, has no plans to accept the potentially record-breaking launch cadence it’s achieved as a new status quo. Just two-thirds of the way through 2022, CEO Elon Musk revealed that SpaceX is targeting up to 100 launches in 2023. As previously reported on Teslarati, while that figure seems implausible at first glance, it was still within the realm of possibility given SpaceX’s already established capabilities.
Just a few weeks later, Musk’s 100-launch target has gone from barely within reach to a serious – if still unlikely – possibility thanks to the record SpaceX broke with Starlink 4-35. SpaceX’s latest Starlink mission lifted off from LC-40 just 5.97 days after Starlink 4-34 launched from the same pad, smashing its old turnaround record (7.67 days) by almost 25%.
For LC-40, already SpaceX’s workhorse pad and the source of the company’s fastest pad turnaround, the new record means, in theory, that one of its three pads can now singlehandedly support up to 60 Falcon 9 launches per year. Assuming that any launch pad can or will sustainably operate close to its record turnaround time for an entire year would be unwise. But, at minimum, the new record gives SpaceX new margins that it can use to significantly increase LC-40’s annual cadence in a more sustainable way. In 2022, LC-40 has averaged 12.7 days per launch. In Q3, it’s on track to average about 10.3 days per launch.
Most importantly, there’s evidence that SpaceX didn’t simply manage a heroic one-time feat with Starlink 4-35. Confirmed by Next Spaceflight, Ben Cooper, and airspace restriction filings, SpaceX has tentative plans to launch Starlink 4-36 from LC-40 as early as 6:36 pm EDT on Friday, September 30th – a turnaround slightly faster than the new record. Another Falcon 9 launch out of LC-40 – EchoStar’s Galaxy 33/34 mission – could follow Starlink 4-36 as early as October 5th, although that mission is more likely to slip a day or two.
There’s a big risk that Storm/Hurricane Ian will create unacceptable weather conditions, forcing SpaceX to delay the launch, but for now, there’s still a chance.
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
