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SpaceX’s Crew Dragon parachutes are almost ready for NASA astronauts
SpaceX says Crew Dragon’s upgraded “Mk3” parachutes are almost ready to safely return astronauts to Earth and need to pass just a few more consecutive tests before NASA will have the data it needs to qualify them.
Although SpaceX originally hoped to pursue a program of propulsive landing for Crew Dragon and Cargo Dragon space capsules, that effort was canceled to avoid the major cost increases and delays NASA’s qualification certification requirements would have triggered. Already designed with parachutes as a backup, SpaceX quickly pivoted and redesigned those parachutes as the primary (if not sole) method of gently landing astronauts back on Earth.
That decision was likely made in late 2016 or early 2017 and CEO Elon Musk announced the program’s cancellation – as well as plans for “Red Dragon” Mars landings – in July 2017. For the next 18 months, SpaceX worked with suppliers and NASA to design and test a parachute system up to the space agency’s extremely rigid standards. Coincidentally, Cargo Dragon suffered a significant (but survivable) parachute failure the same year when one of its three main chutes failed to deploy before splashdown. Additionally, Crew Dragon’s first “Mk1” parachutes suffered their own failures during testing.
A Mk2 variant was designed and built to account for Mk1’s issues, but it too suffered failures during field tests, particularly struggling to make it through tests simulating the failure of one Dragon’s main parachutes. As a result, NASA further required SpaceX to add a fourth parachute, requiring a whole new round of tests and experimentation due to the significantly different dynamics it introduced. Mk2 testing continued into 2019 but SpaceX quickly switched gears and worked with its supplier to design an even more upgraded “Mk3” parachute, building off of a cutting-edge program to model parachute deployment more accurately than ever before.
Over the course of 2019, SpaceX began to extensively test Mk3 parachutes with a variety of drop tests. Unfortunately, even Mk3 suffered a failure or two at first, leading SpaceX and its supplier to refine the design even further.
“[In October and November,] SpaceX says it successfully completed thirteen consecutive tests of Crew Dragon’s new Mk3 parachutes in less than two weeks. That essentially blew [NASA administrator Jim] Bridenstine’s expectations out of the water, as SpaceX surpassed his predicted 10 tests and did 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.”
Teslarati — November 3rd, 2019
In the latest chapter of the Crew Dragon parachute saga, on December 4th, SpaceX tweeted that the spacecraft’s upgraded Mk3 chutes recently completed their seventh successful “system test”. On November 3rd, CEO Elon Musk tweeted that one such multi-chute test had already been completed but said SpaceX wanted to successfully complete ten such consecutive tests before it would feel fully confident in the upgraded parachutes.
If the seven tests SpaceX is now describing are part of the same planned series that kicked off in early November, then those seven were likely consecutive successes and leave just three more tests (give or take) to go. Additional testing may well be required by SpaceX, NASA, or both parties, but if Mk3 continues to perform as well as it has over the last two months, Crew Dragon’s recovery systems ought to be well on their way to NASA certification. Once NASA gives the go-ahead on Crew Dragon’s parachutes (and every other facet of the spacecraft), SpaceX can proceed with its Demo-2 mission, set to be SpaceX’s inaugural astronaut launch and likely to mark the first time the US has launched its own astronauts in nearly nine years.
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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
