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SpaceX, NASA blame Cargo Dragon leak on faulty valve, delay launch further
NASA and SpaceX have delayed Cargo Dragon’s CRS-25 space station resupply mission another two weeks after the company narrowed down the cause of the spacecraft’s rare leak.
Instead of the mission’s original June 7th target, which was eventually pushed back to June 10th and then June 28th when SpaceX discovered signs of a possible fuel leak near one of the spacecraft’s many ‘Draco’ thrusters, NASA and SpaceX will now attempt to launch CRS-25 no earlier than (NET) July 11th.
That makes CRS-25 something exceptionally rare: a SpaceX launch delayed more than a month by an issue discovered just a few days before liftoff. Alongside its growing cadence and record of successful launches, Falcon 9 has quickly become one of the most reliable and on-time rockets currently operating. Once the rocket has been integrated, SpaceX will occasionally run into a day or two of delays caused by minor technical issues or poor weather, but anything more than a few days has become exceptionally rare.
The same has generally been true for Dragon and Dragon 2, although Dragon 2 spacecraft are much newer and less experienced than Falcon rockets and do often run into minor issues. However, it has been years since a Dragon mission was delayed multiple weeks just a few days before its initial launch target. CRS-25’s issues are extraordinarily rare for SpaceX.
On June 13th, NASA distributed an update on those issues, revealing that SpaceX had narrowed down the cause of the anomalous fuel vapor readings that delayed the launch to a single “Draco thruster valve inlet joint.” Dragon spacecraft have 16 Draco maneuvering thrusters, each of which has at least two “valve inlet joints” for fuel (monomethylhydrazine or MMH) and oxidizer (dinitrogen tetroxide or NTO).
Dragon’s smaller pressure-fed Draco thrusters operate at relatively low pressures, but the hypergolic (auto-igniting) fuel and oxidizer they burn are extremely uncooperative and corrosive and create tough conditions for valves to live and operate. In general, valves are already a major source of headaches in spaceflight, where the thermal and chemical environments are bipolar and unforgiving in the extreme, the stakes are about as high as they get, and basic realities of physics demand that all hardware be as light and minimal as possible.
Given Draco’s impressive history, with hundreds of thrusters flown on dozens of different orbital Dragon missions since 2010, it’s likely that SpaceX will fix the problem without issue and prevent it from happening again. Still, the leak still serves as a reminder that making large and complex spacecraft work reliably is an immense challenge. When that spacecraft is meant to be reused, the difficulty is magnified even further.
One slight positive did come from the latest delay, however: SpaceX’s upcoming June 17th Starlink launch no longer has to worry about impinging upon a NASA Dragon launch just 11 days later. In fact, while unlikely, SpaceX may even have time for a second Starlink launch from Pad 39A to fill the slight gap CRS-25 has created in Falcon 9’s June manifest.
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
