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SpaceX Starship just aced another explosive tank test and Elon Musk has the results [video]
SpaceX has successfully repaired a leak in a Starship prototype, filled the giant tank with an ultra-cold liquid, and pressurized it until it (spectacularly) popped — and Elon Musk has the preliminary results.
Designed to determine the quality and capabilities of SpaceX’s current manufacturing and integration procedures, the company technically performed its first explosive Starship test back in November 2019, when it decided that the first full-scale prototype – Starship Mk1 – was not fit to fly. Instead of entering the final stages of assembly with a vehicle that SpaceX simply couldn’t be sure would survive the rigors of even a low-stress flight test, the massive vehicle’s tank section was installed at the company’s South Texas launch facilities and pressurized with liquid nitrogen until it burst.
Built almost entirely unprotected on the South Texas coast, Starship Mk1 simply wasn’t up to the standards needed for SpaceX to trust that the giant rocket would survive the stresses of flight. Much like Falcon 9, Starship and its Super Heavy booster will be structurally stable while their tanks are empty, but a great deal of additional (and absolutely critical) structural strength will be added by pressurizing those tanks with a combination of liquid and gaseous propellant. Achieving the required pressures, however, can be a major challenge and the purpose of test tanks like the one above is to prove that the company is up to the challenge. According to Elon Musk, after tonight’s test, SpaceX almost certainly is.
In all truthfulness, the real start of explosive Starship pressure testing actually happened all the way back in 2017 when SpaceX intentionally pressurized a vast 12m-diameter (40 ft) carbon composite tank until it popped. Back then, Starship was known as Big Falcon Rocket (BFR) and was designed to use carbon fiber composites for nearly all of its structure — propellant tanks included.
According to CEO Elon Musk, said carbon composite tank met SpaceX’s expectations (i.e. the necessary pressures for flight) and was pushed to 2.3 bar (33 psi) before it burst in a rather spectacular fashion, launching almost 100 m (300 ft) into the air. Around 2.5 years after that test, it’s believed that Starship Mk1 reached something like 3-5 bar before it popped, and Musk recently revealed that the new steel Starship and Super Heavy designs will require tanks pressures of at least 6 bar (90 psi) to survive the stresses of orbital flight.
Thankfully, although Starship Mk1 didn’t achieve those necessary pressures, the prototype was effectively a worst-case scenario for manufacturing and assembly, revealing the rather unsurprising reality that SpaceX needed to improve its uniquely sparse methods of production and assembly. Although the stainless steel SpaceX settled on for Starship is much more tolerant than aluminum or most other metals when it comes to welding, steel welds still suffer if exposed to more than a minor breeze, as wind will cause the welded metal to cool less than uniformly.
With the latest series of steel Starship tank prototypes, SpaceX has significantly improved its production infrastructure, finally offering at least a semblance of protection against the elements. Based on the first test tank’s explosive performance on January 10th, those improvements have paid dividends. According to Musk, test tank #1 made it all the way to 7.1 bar (105 psi) before it burst and test tank #2 reportedly did even better.
Meanwhile, SpaceX’s South Texas team has already finished and partially tested a second Starship test tank, ultimately reaching 7.5 bar with water before a small leak sprung on January 27th. Over the last 24 hours, technicians have worked to repair the apparently minor damage and began filling the Starship tank with ultra-cold liquid nitrogen (boiling point: -196°C / -320°F) around 5:30 pm CST (23:30 UTC) on January 28th. After filling with liquid nitrogen, SpaceX kept the steel tank topped off for several hours. The likely purpose behind that otherwise odd move: something called cryogenic hardening. By exposing certain types of steel to liquid nitrogen temperatures, the material can be dramatically strengthened in some regards.
Around four hours after Tuesday evening’s testing began, the Starship tank prototype appeared to develop a significant leak in its upper dome, hemorrhaging liquid nitrogen that immediately produced large clouds after coming into contact with the South Texas air. As it turns out, whatever was observed was almost certainly not a leak: 30 or so minutes later, the tank was pressurized to failure, releasing a spectacular tidal wave of liquid nitrogen that doused the surrounding area, temporarily killing nearby floodlights and creating a near-zero-visibility storm of fog.
We’ll have to wait for dawn tomorrow to see the extent of the damage, but it appears that Test Tank #2’s demise was dramatically more violent than its predecessor — a largely expected side effect of performing the pressure test with a cryogenic liquid. In fact, just minutes after it appeared to fail, Elon Musk revealed that the second test tank had burst around 8.5 bar (~125 psi), soundly trouncing all records set by earlier tests and suggesting SpaceX is unequivocally ready to begin building the first orbital Starships. Critically, Musk had previously indicated that if Starship’s tanks could survive up to 8.5 bar, SpaceX would have the minimum safety margins it needs to deem Starship safe enough for astronauts.
In other words, if Test Tank #2 really did reach 8.5 bar, SpaceX has effectively solved the biggest structural engineering challenge its Starship program faces, kicking the doors wide open for the more or less immediate mass-production of the first giant orbital-class spacecraft. As it turns out, what Musk has deemed as the first “orbital” Starship prototype – ‘SN01’ – is already under construction, and it’s safe to say that any lessons learned from January 28th’s cryogenic pressure test will be fed back into SN01 and all future prototypes.
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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
