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SpaceX Starship prototype gets frosty for a launch attempt as early as this week
Update: It appears that SpaceX has completed Starship SN10’s first cryogenic proof test campaign and the company lifted its road closure around 4:30 pm CST, signifying the end of Monday’s testing.
If Monday’s cryo proof was successful, SpaceX has requested possible static fire test windows on Wednesday, Thursday, and Friday (Feb 10-12), though it’s possible another window could be added on Tuesday, February 9th. If Starship SN10 is able to complete a flawless wet dress rehearsal (WDR) and static fire on Tuesday or Wednesday, there is a chance – albeit small – that SpaceX can turn the rocket and pad around for a launch attempt on Friday.
Unfortunately, the FAA also deemed it necessary to reissue SpaceX’s airspace restrictions with a note that SN10’s launch is still “pending [authorization],” adding additional bureaucratic uncertainty on top of the technical hurdles the Starship still needs to navigate to be cleared for flight.
In the midst of what appears to be Starship SN10’s first cryogenic proof test, SpaceX has filed temporary flight restrictions (TFRs) with the FAA for a third Starship launch as early as this week.
Effectively identical to late Starships SN8 and SN9, both of which suffered last-second failures that led to hard impacts and explosions on December 9th and February 2nd, Starship SN10 is a prototype steel rocket and reusable upper stage measuring 50m (165 ft) tall, 9m (30 ft) wide, and some 1350 metric tons (three million pounds) – about as much as Falcon Heavy – fully fueled.
Like its predecessors, Starship SN10 has been outfitted with a cluster of three Raptor engines producing up to 600 metric tons of thrust (~1.3M lbf) and was built as part of a series of four prototypes designed to prove out a new method of rocket recovery.
As previously discussed on Teslarati, SpaceX unexpectedly distributed safety “alerts” to Boca Chica Village residents on Sunday, February 7th, an act that has only ever signified plans to (attempt to) static fire a Starship prototype. However, Starship SN10 has yet to even complete cryogenic proof testing, referring to a common practice SpaceX has used to verify vehicle health with liquid nitrogen, simulating the extreme cold of liquid methane and oxygen propellant without the risk of a violent fire or explosion.
At the moment, SpaceX is in the middle of putting Starship SN10 through its first LN2 cryo proof attempt(s). SpaceX appeared to abort one attempt around 1:15 pm CST and has kicked off a second attempt around this article’s publishing time (~2 pm CST). If SN10 manages to pass a cryo proof in the early afternoon, there’s a chance – albeit limited – that SpaceX will then attempt to recycle for a live wet dress rehearsal (WDR; replacing LN2 with methane and oxygen) and possible static fire attempt later today.
Even attempting – let alone completing – an inaugural cryoproof and static fire on the same day would be an unprecedented feat, so it’s far more likely that the process will take a couple days. Even if that’s the case, however, it’s still possible that SpaceX could make Starship SN10 ready for another high-altitude launch attempt as early as this week. Stay tuned for updates!
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
