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SpaceX’s first high-altitude Starship prototype just “passed cryo proof” testing
SpaceX CEO Elon Musk says that the first high-altitude Starship prototype – known as SN8 – just “passed cryo proof” testing in South Texas, potentially setting the ship up for a ~15 km (9.5 mile) flight test in the near future.
Meanwhile, NASA astronaut Bob Hines recently overflew SpaceX’s Boca Chica, Texas Starship factory with several compatriots, offering an excellent aerial view of the company’s bustling facilities in the midst of Starship SN8’s critical cryo proof test campaign.
Hines managed to catch the Moon alongside one of the T-38 trainer jets NASA astronauts routinely use for training and travel, serving as a reminder that SpaceX won $135 million to build a Lunar Starship that might someday return humans to Earth’s lone companion. Likely with or without NASA’s involvement, the Starship prototype production and test program SpaceX is deep in the midst of will directly determine if and when the company visits – and lands on – the Moon and Mars.
Over the last three days, SpaceX has gradually put Starship SN8 – the first prototype meant for high-altitude flight testing – through its paces, beginning with a seemingly aborted “cryo proof” test on October 5/6. During the first attempt, SpaceX appeared to pressurize the rocket tank section with cold nitrogen gas and perhaps a small volume of liquid nitrogen before reopening the highway. Starship SN8 also actuated its large aft flaps under its own power for the first time on October 4th and SpaceX has performed several more actuation tests in the days since.
24 hours later, SpaceX tried again, this time successfully loading Starship SN8’s liquid oxygen and methane propellant tanks with perhaps a thousand metric tons (2.2 million pounds) of liquid nitrogen – used to simulate the ultra-cold temperatures of cryogenic propellant without the risk of a catastrophic fire or explosion. After cryo load, SpaceX reportedly attempted to pressurize the rocket’s tanks to their limits but the test was stopped somewhat short when Starship SN8 sprung “a small leak…near the engine mounts” after reaching pressures of 7 bar (~100 psi).
Precisely as Musk predicted, SpaceX apparently managed to fix the minor leak in less than 24 hours and began the third round of Starship SN8 cryo proof testing late on October 7th. Once again, the rocket was fully loaded with liquid nitrogen and spent some 2-3 hours under cryogenic stress as SpaceX likely stress the thrust structure (“thrust puck”) by simulating the thrust of Raptor engines with hydraulic rams. Nothing out of the ordinary happened and Musk has yet to comment on the test, suggesting that things went largely as planned.
Intriguingly, SpaceX then geared up for a fourth night of cryogenic testing on October 8/9. It’s not entirely surprising that the company would want to test the first Starship built primarily with a new steel alloy as thoroughly as possible. If SN8’s fourth night of testing produces satisfactory results and SpaceX is less than concerned with the leak discovered during the second round of testing, the company could be ready to install three engines and attempt the first multi-Raptor static fire test ever.
Update: SpaceX CEO Elon Musk says that Starship SN8 “passed cryo proof” testing, most likely setting the rocket up for the first triple-Raptor static fire test ever attempted. If SN8 passes static fire testing, it will most likely be outfitted with a nosecone and forward flaps and attempt another three-engine static fire using smaller ‘header’ propellant tanks, ultimately preparing it to support the first high-altitude flight test of a Starship prototype if all goes according to plan.
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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
