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SpaceX highlights Crew Dragon SuperDraco thrusters as explosion investigation nears end

SpaceX published a highlight reel of Crew Dragon's SuperDraco thruster testing on September 12th. (SpaceX)

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SpaceX has published a highlight reel touting “over 700 tests” of Crew Dragon’s SuperDraco abort thrusters at the same time as the company is about to close a failure investigation into a Dragon capsule’s April explosion, pinned primarily on abort-related hardware.

According to a September 6th meeting of NASA’s Aerospace Safety Advisory Panel (ASAP), SpaceX has nearly completed the ‘fault tree’ of Crew Dragon’s explosion, a term used to describe the process of analyzing telemetry and ruling out all possible failure modes. Once that tree is complete, the investigation can be finalized and SpaceX can implement all hardware and software changes needed to prevent similar failures from reoccurring. For the time being, this means that a 2019 launch of SpaceX’s inaugural crewed Dragon is almost certainly not in the cards, although early 2020 is still looking promising.

On April 20th, SpaceX was extremely quick to acknowledge that an anomaly had occurred during a planned static fire of flight-proven Crew Dragon capsule C201, recovered just one month prior after a flawless orbital launch debut. Soon after, an extremely low-quality video of a livestream of the static fire attempt was leaked, revealing that the capsule suffered a catastrophic explosion just moments before the ignition of its eight SuperDraco thrusters.

Incredibly, one of Crew Dragon C201’s SuperDraco ‘powerpacks’ (a pair of engines) was not only recovered intact after the explosion but static-fired at SpaceX’s McGregor, TX test facilities. A bit less than three months after the explosion, SpaceX and NASA officials hosted a press conference in July 2019 to discuss preliminary results from their joint Crew Dragon failure investigation. Some work remained to rule out other possibilities but NASA and SpaceX were confident enough to conclude that an exotic interaction between SuperDraco propellant and a leaky titanium valve likely triggered the explosion.

According to ASAP, SpaceX and NASA still have work to do before the investigation can be concluded, describing it as “nearly complete”. Additionally, the ASAP meeting continued what feels like an increasingly myopic focus on SpaceX’s carbon overwrapped pressure vessels (COPVs), used to store high-pressure helium on Falcon 9 and Heavy. COPVs have been partial causes of both of Falcon 9’s two operational failures, explaining NASA’s apparent prioritization of its certification.

Unspecified issues with parachutes were also raised for both Commercial Crew spacecraft, continuing a years-long trend of parachutes and COPVs taking up the majority of ASAP’s attention in public meetings. Boeing and SpaceX continue to test their parachute systems, both well into dozens of distinct tests after something like two years of concerted attempts to satisfy NASA requirements.

SpaceX has already demonstrated a successful orbital launch, reentry, parachute deployment, and splashdown during Crew Dragon’s March 2019 Demo-1 launch, as well as 18 successful Cargo Dragon parachute recoveries in the last seven years. Cargo Dragon did suffer one anomalous splashdown in 2018, but its partially redundant set of chutes still permitted a gentle and intact recovery.

Nevertheless, it appears that SpaceX and Boeing will have to continue performing parachute tests for the indefinite future. Boeing’s next milestone – an uncrewed orbital test flight (OTF) comparable to SpaceX’s Demo-1 mission – is expected to launch no earlier than October 28th according to Russian space industry sources. SpaceX’s next Crew Dragon milestone will be the spacecraft’s in-flight abort (IFA) test, scheduled no earlier than November 2019.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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