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SpaceX launches two Falcon 9 rockets in seven hours
Two SpaceX Falcon 9 rockets have successfully launched a Crew Dragon carrying four astronauts and a new batch of Starlink internet satellites a little over 7 hours apart, nearly halving the company’s previous record.
A Falcon 9 rocket on the East Coast kicked things off with a launch out of NASA’s Kennedy Space Center (KSC) LC-39A pad – leased by SpaceX since 2014 – at noon EDT (16:00 UTC). A rare new Falcon 9 booster lifted an expendable upper stage and flight-proven Crew Dragon capsule – carrying four professional astronauts – most of the way free from Earth’s atmosphere before heading back to Earth and landing without issue on a SpaceX drone ship. The upper stage continued to low Earth orbit and deployed Dragon, kicking off a 29-hour journey to the International Space Station (ISS).
Seven hours and ten minutes later, a second Falcon 9 rocket lifted off from SpaceX’s Vandenberg Space Force Base (VSFB) SLC-4E pad, bursting through a thick layer of coastal fog. Following a successful launch and landing of booster B1071 and two good burns of the rocket’s upper stage, Falcon 9 deployed another 52 Starlink V1.5 satellites, adding to the more than 3000 working satellites already in orbit.
And SpaceX isn’t done. As early as 7:07 pm EDT (23:07 UTC) on October 6th, less than 24 hours after Starlink 4-29, a third Falcon 9 rocket is scheduled to launch from SpaceX’s Cape Canaveral Space Force Station (CCSFS) LC-40 pad. Rounding out the trio, the mission will carry Intelsat’s Galaxy 33 and Galaxy 34 communications satellites into a geostationary transfer orbit (GTO).
The mission will be Falcon 9 booster B1060’s 14th launch, significantly raising the bar for the commercial acceptance of reused SpaceX rockets. Prior to Galaxy 33/34, SpaceX’s commercial reuse record was held by Transporter-3, which was Falcon 9 B1058’s tenth launch.
The completion of two Falcon 9 launches in a little over 7 hours nearly halves SpaceX’s previous record of 14 hours and 8 minutes, set by a pair of launches in June 2022. It also demonstrates that the company can repeatedly prepare for and complete multiple Falcon 9 launches in very close proximity – more or less a necessity if it wants to hit CEO Elon Musk’s unprecedented target of “up to 100 launches” in 2023.
It isn’t a record for all of spaceflight, however. That likely falls to the Soviet R-7 family of rockets, 2 of which launched just 25 minutes apart in 1969. However, 3 Falcon 9 launches in 31 hours (Crew-5, Starlink 4-29, and Galaxy 33/34) is likely a record for all rockets. Parsing astrophysicist Jonathan McDowell’s extensive records, the R-7 family likely held the record for decades after completing 3 launches in 40 hours in 1978.
But, as it turns out, SpaceX already beat that record when it launched 3 Falcon 9 rockets in 36 hours in June 2022. 3 Falcon 9 launches in 31 hours thus breaks SpaceX’s record and the world record. That’s become an increasingly common occurrence for a company that has beaten its competitors so thoroughly that, by many measures, it has become peerless. Now, only the records of the former Soviet Union and a retired NASA rocket can outmatch SpaceX, a single 20-year-old company.
In less than three years, SpaceX has launched 30 astronauts: more than twice as many as China but a tiny fraction of the 852 people NASA’s Space Shuttle launched over its 30-year career. SpaceX’s Falcon family of rockets is the most reliable in history after 154 consecutive successes in less than six years, and Falcon boosters have completed more successful landings (145) than Space Shuttle orbiters. But its Dragon spacecraft will likely never best the Soviet and Russian Soyuz capsule and its variants, and Falcon will almost certainly be retired before it can come close to the R-7 rocket family’s extraordinary record of 1844 launches over 65 years.
But in the modern era, SpaceX is simply unmatched.
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
