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SpaceX repairing upgraded Starship prototype after first test
SpaceX workers have been spotted repairing the company’s newest Starship prototype in the days after the rocket’s first partial test.
Starship S24 was transported to SpaceX’s Starbase, Texas orbital launch site (OLS) on May 26th after about two and a half months of assembly, marking the first time SpaceX transported a new Starship prototype to a test stand since August 2021. Less than 24 hours later, after attaching Ship 24 to a new test bay located beside the actual ‘orbital launch mount,’ the Starship prototype came to life and began its first proof test.
Unfortunately, while it’s impossible to judge with certainty without official confirmation, Ship 24 either failed to complete that test or did not make it through unscathed.
Known as an ambient or pneumatic proof test, the main goal is to pressurize a Starship or Super Heavy prototype with nonflammable, ambient-temperature nitrogen gas to ensure that the rocket and all its plumbing are structurally sound and working as expected. A successful test would likely require a prototype to reach and sustain flight pressures – up to 8.5 bar (~125 psi) as of 2020 – without exhibiting any significant leaks or problems.
For a while, Ship 24’s first ambient proof test went about as expected, with lots of small vents from its main liquid oxygen (LOx) and methane (LCH4) tanks. No activity was visible at the ship’s nose, where vents and plumbing attach to a pair of small landing (header) propellant tanks. Ship 24 is the first Starship with an upgraded version of those tanks after SpaceX decided to remove the methane header tank from the main methane tank and relocate it directly under the oxygen header tank, which takes up the tip of Starship’s nose.
After an hour or two of testing, a muffled bursting noise different from previous vents was heard, followed by a quieter ‘whoosh’ more akin to a long vent. At the same time as the loud noise was heard, a good dozen or so of S24’s thousands of heat shield tiles were knocked off the section of the hull between the Starship’s main tanks and nose cone. SpaceX depressurized Ship 24 soon after and within a few hours, workers could be seen extracting a pipe from the ship that appeared to have been bent almost in half.

Three days later, workers were spotted guiding apparent replacement pipes into Ship 24. Altogether, it appears that some small section of Ship 24’s internal piping failed catastrophically after it was pressurized during the vehicle’s first pneumatic proof test, knocking tiles loose and possibly damaging other adjacent plumbing. Given the location of that piping inside Ship 24’s nose section, there’s a nonzero chance that the failure occurred when SpaceX attempted to pressurize the Starship’s new header tanks, which would have started by pressurizing the propellant and gas lines leading to them. That would explain the first muffled burst, the subsequent venting sound that slowly faded to nothing, and the loss of heat shield tiles.
It would also explain why SpaceX decided to leave Starship in place and conduct repairs at the pad. Super Heavy Booster 7, which suffered a dramatic plumbing failure during an early proof test, was moved back to one of Starbase’s covered assembly bays for repairs. Had Ship 24’s incident been severe, it would have likely left the pad as well. The fact that Ship 24 did not move indicates that the failure was fairly minor and contained, only impacting some easily-replaceable plumbing.

Additionally, SpaceX appears to have moved Raptor heat shield components and a missing cover for one of Ship 24’s four flaps to the pad since the incident. On top of the team that has been working all weekend to repair the Starship, other sets of workers have set about closing out Ship 24’s ‘raceway’, which protects hundreds of feet of smaller plumbing and cables and a flight termination system that runs from the top to the bottom of the ship’s tanks; and some have begun preparing to fill gaps in Ship 24’s heat shield. Most of that work can be classified as ‘finishing touches’ and none of it would be prioritized if Ship 24 was not in decent shape.
Still, even minor damage is a setback. Ship 24’s next opportunity for redemption is a 10am to 10pm CDT window on Wednesday, June 1st, with backup windows available on Thursday and Friday.
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.