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SpaceX Starship test tank ready for a second shot at destruction
For the fourth time ever, SpaceX is ready to destroy a Starship test tank – the results of which will \determine the next steps for Starship development.
Technically, this will be the second time SpaceX has attempted to destroy Starship test tank SN7.1 following an unsuccessful night of testing on September 17th. Following two days of back-to-back stress tests on the 14th and 15th, successfully proving that SpaceX’s newest test tank and steel alloy can withstand the rigors of suborbital launch, unknown issues scrubbed a third series of tests meant to intentionally destroy SN7.1.
Excluding Starship SN2, thus far the only test tank to survive, SpaceX’s latest intentionally destructive test campaign builds on the controlled failures of two unnamed tanks in January and Starship SN7 in June. SN7.1 is essentially a more complex version of SN7, integrating a “thrust puck” to ensure that SpaceX’s custom steel alloy is also the right choice for the puck-like structure tasked with transferring the thrust of 3-6 Raptor engines through the rest of Starship.
Theoretically, the 304L-esque alloy SpaceX has decided to replace 301 steel with should make Starships less brittle under cryogenic temperatures, meaning that a breached tank should spring leaks instead of violently bursting. That characteristic would be a boon for vehicle safety and survivability relative to almost any other rocket. With Starship test tank SN7, SpaceX has already demonstrated that its custom steel alloy will gently leak before bursting.
Simultaneously, SN7 is believed to have broken SpaceX’s internal Starship tank pressure record despite having multiple flawed welds, meaning that SN7.1 could reach even higher pressures if SpaceX has since improved build quality.
Ironically built well before test tank SN7.1, SpaceX has already completed the tank section of SN8 – the first full-size Starship to exclusively use the company’s custom steel alloy. Given that SN7.1 has already survived two full nights of nondestructive tests, it’s safe to say that SpaceX is likely happy with the tank’s performance and that the viability of 304L steel has been thoroughly vetted. In the unlikely event that any unsavory discoveries are made in the process of destroying test tank SN7.1, that might change, but the purpose of destructive tank testing is less to qualify new designs than it is to push the more abstract limits of materials and manufacturing techniques.
As previously discussed on Teslarati, it remains to be seen if SpaceX will begin testing Starship SN8 before the prototype has been fully outfitted with a nosecone, plumbed header tanks, and four flaps. If SpaceX does choose to test SN8 prior to completion, the prototype could be ready to head to the launch pad almost as soon as SN7.1 is destroyed.
SN7.1’s final test window stretches from 9pm to 6am CDT (UTC-5) on September 21st with an identical backup on the 22nd. The test will be streamed by NASASpaceflight (until SN7.1 has burst or the window has closed) and LabPadre (a 24/7 feed).
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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.”
News
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
