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NASA has good news after SpaceX Crew Dragon parachute test accident
NASA has good news after SpaceX suffered an accident that destroyed a Crew Dragon mockup before it could complete a parachute test, indicating that the anomaly could have minimal impact on the spacecraft’s Demo-2 astronaut launch debut.
According to NASA, SpaceX and the space agency are still working to launch astronauts on Crew Dragon as early as “mid-to-late May”. While two recent challenges – the loss of the spacecraft’s most important parachute testing mockup and an unrelated in-flight rocket engine failure – could both singlehandedly delay Demo-2 in certain scenarios, NASA continues to state that a May timeframe is still in the cards. This is an excellent sign that both issues – as previously speculated on Teslarati – are probably much less of a problem than they otherwise could be.
As of now, all Demo-2 hardware – including Falcon 9 booster B1058, a new Falcon upper stage, Crew Dragon capsule C206, and an expendable Dragon trunk – are all believed to be in Florida and technically ready for flight. Waiting for launch at and around Kennedy Space Center (KSC) Launch Complex 39A, the long straw for SpaceX’s inaugural astronaut launch is most likely the completion of formal paperwork and reviews, most of which must be done primarily by NASA employees. SpaceX’s latest technical challenges certainly toss some uncertainty into the mix and serve as a reminder that nothing can or should be taken for granted in human spaceflight but on the whole, there is reason for optimism.
“To date, SpaceX has completed 24 tests of its upgraded Mark 3 parachute design they are working to certify for use on the Crew Dragon spacecraft that will fly NASA astronauts to the International Space Station. The system was used during the SpaceX in-flight abort test in January.
On March 24, SpaceX lost a spacecraft-like device used to test the Crew Dragon Mark 3 parachute design. The test requires a helicopter to lift the device suspended underneath it to reach the needed test parameters. However, the pilot proactively dropped the device in an abundance of caution to protect the test crew as the test device became unstable underneath the helicopter. At the time of the release, the testing device was not armed, and a test of the parachute design was not performed.
Although losing a test device is never a desired outcome, NASA and SpaceX always will prioritize the safety of our teams over hardware. We are looking at the parachute testing plan now and all the data we already have to determine the next steps ahead of flying the upcoming Demo-2 flight test in the mid-to-late May timeframe.”
NASA.gov — March 26th, 2020
While the challenges SpaceX and NASA still have to surmount are thus significant, it’s safe to say that Crew Dragon’s track record more than earns it some optimism as the spacecraft nears the T-1 month mark for what will arguably SpaceX’s most significant launch ever.
Following a successful Pad Abort test in May 2015, the company spent several years working head down. In mid-2018, SpaceX’s first finished Crew Dragon spacecraft successfully passed through electromagnetic interference (EMI) and thermal vacuum (TVac) testing, arriving at the launch site for preflight processing by July. Unfortunately, for unknown reasons, it took more than half a year more for NASA to finally permit Crew Dragon to launch.
A month and a half after completing an integrated static fire test at Pad 39A, Falcon 9 and Crew Dragon lifted off for the first time ever on March 2nd, 2019. A flawless launch was followed by an equally flawless International Space Station (ISS) rendezvous and docking, completed autonomously and without issue on SpaceX’s first try. Crew Dragon capsule C201 spent five days at the station before autonomously departing, reentering Earth’s atmosphere, and gently splashing down in the Atlantic Ocean under four healthy parachutes.
Altogether, Crew Dragon’s orbital launch debut was such a flawless success that SpaceX’s own director of Crew Dragon mission management stated that he could barely believe how perfectly it went – likely expecting at least something to go slightly awry. That near-perfection certainly didn’t come easily for SpaceX. Boeing – NASA’s second Commercial Crew Program (CCP) partner – has had a far rougher go of things despite the fact that the company does technically have extensive experience building aircraft and rockets.
In November 2019, Boeing completed Starliner’s first fully integrated ‘flight’ test in the form of a pad abort. While the spacecraft was able to perform a soft landing, mishandling and bad quality control caused one of its three main parachutes to fail to deploy in an unintentional stress test. A little over a month later, a separate Starliner spacecraft performed its inaugural orbital launch on a ULA Atlas V rocket. From the moment Starliner separated from Atlas V, things began to go wrong. It would ultimately become clear that extremely shoddy software and an almost nonexistent integrated testing regime caused the spacecraft to waste most of its propellant and resulted in an extremely delayed orbital insertion.
While NASA and Boeing both managed to forget a second partial failure until media reporting shed light on it months later, it also turned out that another entirely separate instance of incomplete software may have nearly destroyed Starliner a matter of hours before it was scheduled to reenter Earth’s atmosphere. The spacecraft was ultimately prevented from even attempting a space station rendezvous, one of the major purposes of the test flight.
In simpler terms, Crew Dragon – even with the challenges it has and will soon face – is just shy of primed and ready for flight. As always, it’s better to be safe (and late) than sorry in human spaceflight, particularly the first such mission for SpaceX, but it’s looking increasingly likely that Crew Dragon will be on the launch pad and preparing to lift off with NASA astronauts just two or so months from now.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
