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SpaceX says Crew Dragon parachute upgrade nailed more than a dozen tests in a row
According to SpaceX, Crew Dragon’s upgraded ‘Mk3’ parachutes have successfully completed more than a dozen tests in a row, a feat accomplished by SpaceX engineers and technicians in a single week.
Although SpaceX will likely continue to test the upgraded parachutes over the next several weeks and months, Mk3’s success up to now – including a demonstration of an emergency landing scenario – likely means that the company is well on track for NASA to certify Crew Dragon for its first astronaut launch.
Known as Demo-2, SpaceX’s first crewed demonstration mission is tentatively scheduled to launch no earlier than the first quarter of 2020 and is almost entirely dependent upon NASA (and SpaceX, to a lesser extent) completing review and qualification paperwork. On October 8th, SpaceX CEO Elon Musk indicated that SpaceX itself – including all Crew Dragon and Falcon 9 hardware – would likely be ready to launch before the end of December 2019.
During an October 30th briefing from Commercial Crew Program manager Kathy Lueders, NASA essentially confirmed Musk’s estimate for Crew Dragon hardware readiness, estimating that the Crew Dragon Demo-2 spacecraft will be ready for flight around the end of December. The mission’s Falcon 9 booster has also completed testing in Texas, while SpaceX plans to ship the Falcon 9 upper stage to Texas for acceptance testing in November.
In recent months, NASA has indicated that the parachute systems of both Boeing’s Starliner and SpaceX’s Crew Dragon were a prominent concern after chute failures occurred on several occasions. In response, SpaceX redesigned Crew Dragon’s parachutes – supplied by Airborne Systems – to account for the failure modes experience, while also advancing the state of the art of computer modeling of parachute deployment and behavior.
In response to past failures, SpaceX chose to further upgrade and strengthen Crew Dragon’s parachutes, moving to a ‘Mk3’ variant with stronger Zylon risers (strips connecting Dragon to its parachute rigging), among other tweaks. Notably, in an October 2019 press conference with Musk, NASA administrator Jim Bridenstine noted that SpaceX had plans to field and test those Mk3 parachutes at least 10 times before the end of 2019.
“We could see as many as 10 drop tests between now and the end of the year and depending on how the next 10 drop tests go, we will know how many more drops tests we are going to add.”
Jim Bridenstine, October 10th, 2019
In fact, during the latest stage of testing, SpaceX says it successfully completed thirteen consecutive tests of Crew Dragon’s new Mk3 parachutes, all of which were completed in less than two weeks. This essentially blows Bridenstine’s expectations out of the water, as SpaceX has surpassed his predicted 10 tests and done so barely three weeks into the tentative 12-week window he set. SpaceX now has plenty of time to either continue testing Crew Dragon’s parachutes or refocus its efforts on other equally important qualification challenges.
Prior to those thirteen consecutive successes, SpaceX suffered two failures during single-parachute Mk3 testing. The first two development tests of the Mk 3 design used loads much higher than the parachutes would ever see in operation in an effort to better understand overall design margins and system performance. After a period of rapid iteration with parachute provider Airborne Systems, the faults responsible for those two stress-test failures were resolved and subsequent drop tests confirmed that Mk3’s suspension lines – the numerous lines connecting the parachute to Crew Dragon – are far stronger than those on Mk2.
Perhaps most crucially, the most recent test – shown in the video shared by SpaceX on November 3rd – was the first multi-chute Mk3 demonstration and simultaneously proved that Crew Dragon will be able to safely land its astronaut passengers even if one of the spacecraft’s four parachutes fail to deploy. Despite those consecutive successes, SpaceX and Airborne will continue testing Mk3 parachutes as rapidly as possible and aim to provide NASA the data it needs to qualify Crew Dragon’s parachutes for crewed flight before the end of 2019.
Either way, the next several months are set to be a frenetic period for NASA’s Commercial Crew Program. As early as November 4th, Boeing aims to attempt a pad abort test of its Starliner spacecraft, while SpaceX is set to static fire a Crew Dragon capsule on November 6th. If both tests are successful, SpaceX aims to launch Crew Dragon’s In-Flight Abort (IFA) test in early-December, while Boeing hopes to launch Starliner on its first uncrewed Orbital Flight Test (OFT) no earlier than December 17th.
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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
