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SpaceX’s third Falcon 9 launch in 31 hours aborted by “tiny helium leak”
SpaceX’s third Falcon 9 launch in a little over 31 hours was called off seconds before liftoff after the rocket’s onboard computer detected what Elon Musk says was a “tiny helium leak.”
SpaceX takes “no risks with customer satellites,” per the CEO, so the company has stood down from its October 6th launch attempt to inspect the rocket, analyze data gathered from tonight’s attempt, and ensure everything is in order. Barring surprises, SpaceX will attempt to launch Intelsat’s Galaxy-33 and Galaxy-34 geostationary communications satellites at the next earliest opportunity, a 69-minute window that opens at 7:06 pm EDT (23:06 UTC) on Friday, October 7th.
The abort ends an opportunity SpaceX had to launch three Falcon rockets faster than ever before, but the company was still able to crush a different (internal) record with two Falcon 9 launches in seven hours on October 5th. Thanks to its relentless pursuit of ever-higher launch cadences, SpaceX will likely have many opportunities to break its record of three launches in ~36 hours over the next several months.
Intelsat’s Galaxy-33/Galaxy-34 (G33/G34) mission would have been SpaceX’s third Falcon 9 launch in 31 hours and 20 minutes following the successful October 5th launches of Crew-5 (carrying four astronauts) at 12:00 pm EDT and Starlink 4-29 (deploying 52 Starlink satellites) at 7:10 pm EDT. The hat-trick record for a non-SpaceX vehicle appears to have been previously held by the Soviet R-7 rocket family, which completed three launches in 40 hours in March 1978.
SpaceX broke that record in June 2022 when it launched Starlink 4-19, SARah-1, and Globalstar FM15 a little over 36 hours apart. It will now have to wait for another opportunity to break its own record, though it likely won’t be too long as the company continues to target 60 launches in 2022 and “up to” 100 launches in 2023.
According to a SpaceX launch controller, Falcon 9’s first ill-fated Galaxy-33/Galaxy-34 launch attempt was aborted automatically when the rocket’s flight computer “identified higher than expected cryo helium decay.” SpaceX’s Falcon rockets burn a combination of cryogenic liquid oxygen and chilled rocket-grade kerosene (RP-1), but they carry composite overwrapped pressure vessels (COPVs) filled with high-pressure helium gas to keep their propellant tanks pressurized as they’re drained. If SpaceX’s much larger Starship rocket shares some similarities, the company may also use a system of “helium injection” [PDF] inside Falcon 9 to keep its cryogenic oxygen and chilled kerosene as cold as possible. Musk later simplified the cause of the abort to a “tiny helium leak,” but the location of the leak (inside or outside of the rocket) was not specified.
Two hours before that, the Crew Dragon spacecraft SpaceX launched the day prior successfully docked with the International Space Station (ISS), delivering its ‘payload’ of four professional astronauts to the orbital outpost. One of those passengers is Russian cosmonaut Anna Kikina, marking the first time an American spacecraft has ferried a Russian to the ISS in almost 20 years. That milestone has unfortunately been muddied and overshadowed by the country’s illegal, genocidal, and increasingly suicidal invasion of Ukraine.
Crew-5 is the seventh Crew Dragon to successfully transport astronauts to the ISS and SpaceX’s eighth crewed launch overall since May 2020. Flying for the second time, Crew Dragon capsule C210 docked on its first try after a smooth 29-hour rendezvous. About a week from now, another crew of four astronauts will board a different Crew Dragon spacecraft and return to Earth, handing off the ISS to Crew-5 and ending SpaceX and NASA’s Crew-4 mission.
SpaceX is scheduled to launch at least one more batch of astronauts for NASA in March or April 2023, meaning that the company is expected to singlehandedly ensure NASA access to the ISS for almost three full years. At the start of the Commercial Crew Program and for most of its development, NASA intended for partners SpaceX and Boeing to alternate, but Boeing’s Starliner spacecraft is years behind schedule.
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
