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SpaceX’s Crew Dragon explosion investigation almost complete, says executive
Speaking at the 2019 AIAA Propulsion & Energy Forum, SpaceX Vice President of Build and Flight Reliability Hans Koenigsmann was significantly more confident that the company is just days or weeks away from wrapping up a serious Crew Dragon failure investigation.
On April 20th, flight-proven Crew Dragon capsule C201 experienced a catastrophic failure mode – largely a surprise to SpaceX – that completely destroyed the vehicle milliseconds prior to a planned static fire test. Given the obvious mortal danger such a failure would have posed to any crew aboard, SpaceX’s plans to conduct its first crewed Crew Dragon launch (Demo-2) in Q3 2019 were thrown out the window. Thankfully, Hans believes that SpaceX is just shy of concluding that investigation, “hopefully” permitting the launch of a critical abort test and Demo-2 before 2019 is out.
More specifically, Koenigsmann noted that SpaceX is currently planning to conduct a critical Crew Dragon in-flight abort (IFA) test in October or November, more or less in line with a recent report from NASASpaceflight.com that the test is targeted for November 11th, 2019. NASASpaceflight also confirmed that SpaceX still plans to fly Falcon 9 booster B1046.3 on the critical test flight, currently the only established plan to launch a thrice-flown booster, a potential first for SpaceX’s reusability program.
SpaceX’s IFA test is a continuation of the company’s suborbital Crew Dragon testing. Back in 2015, SpaceX successfully completed a pad abort test in which a low-fidelity Dragon mockup used its eight SuperDraco abort thrusters to replicate an escape from a rocket failure on the launch pad. SpaceX’s in-flight abort test will – like its namesake indicates – perform a similar test in flight, ensuring that Crew Dragon is able to safely escape from a failing Falcon 9 at Max Q, the point during launch where atmosphere-induced mechanical stress is at its peak.
In theory, demonstrating a successful pad and in-flight (Max Q) abort means that a given spacecraft is able to safely abort at all points during flight – from the pad all the way to orbit. It’s not clear if Crew Dragon is actually designed to be capable of what’s known as an “abort-to-orbit”, but the hardware is likely there if it’s needed.
On July 15th, Hans Koenigsmann and NASA Commercial Crew Program (CCP) manager Kathy Lueders went into significant detail with a preliminary Crew Dragon failure investigation update. They revealed that Crew Dragon’s April 20th explosion was traced to a likely mode, in which a “slug” of Dragon’s liquid oxidizer (nitrogen tetroxide, NTO) leaked and was subsequently smashed into a titanium valve by helium pressurized to several thousand PSI.
Said impact – effectively turning NTO into a bullet – thus created a spark in one or two ways: the titanium debris could have easily created sparks on its own, while NTO is also known to interact in violent and exotic ways with titanium under impact conditions. Either way, the fix is relatively simple (replace the valves and avoid titanium in the NTO pressurization system), but the fact that the design flaw existed in the first place serves as a much larger concern for the entirety of Crew Dragon’s joint SpaceX-NASA design and certification.
Ultimately, Hans seemed much more confident on August 19th than he was a month prior, indicating that the investigation is just shy of wrapping up. Once complete, SpaceX can complete the necessary modifications and get back on the saddle for Crew Dragon’s inaugural crewed launch and next abort test.
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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
