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NASA says SpaceX astronaut launch debut is still on track despite pandemic, engine failure
Despite a global pandemic and Falcon 9’s first in-flight engine failure in almost eight years, NASA administrator Jim Bridenstine remains confident that SpaceX and the space agency are still on track for Crew Dragon’s astronaut launch debut.
For the third time in about a month, NASA has officially confirmed that SpaceX’s Crew Dragon ‘Demo-2’ mission – the company’s first astronaut launch ever – is still tracking towards a liftoff in May 2020. While there are several good reasons to expect further delays, Bridenstine acknowledged and discounted those pressing risks in an April 9th interview with Spaceflight Now, explicitly stating that “if [Demo-2 does] slip, it’ll probably be into June. It won’t be much.”
Excluding several minor to moderate technical risks that have popped up in recent weeks, this suggests that the NASA administrator is also confident that one of the biggest sources of imminent schedule uncertainty – closed-door paperwork completion and joint reviews – will actually be smooth sailing.
On March 2nd, 2019, Falcon 9 lifted off for the first time with SpaceX’s upgraded Crew Dragon spacecraft on its inaugural orbital launch. Known as Demo-1, the mission was ultimately a flawless success, with Dragon performing exactly as expected throughout launch, orbit-raising, space station rendezvous, docking, departure, deorbit, reentry, and splashdown operations.
As Crew Dragon’s only orbital launch and space station docking, it also serves as the best and only glimpse into how long the more nebulous review and paperwork aspects of launch preparation can take. For Demo-1, Falcon 9 and Crew Dragon rolled out to Launch Pad 39A and completed a successful static fire on January 24th, 2019. The mission was then scheduled for launch no earlier than (NET) February 23rd and wound up being pushed back another week to March 2nd. In almost every case, Falcon 9 and Falcon Heavy launch less than a week after a successful preflight static fire and do not attempt a static fire until a given rocket and payload are both ready to go.
If there were technical challenges that lead to that six-week delay between Crew Dragon’s Demo-1 static fire and launch, they have never been broached publicly, making it more likely that NASA spent at least a month simply finishing up final paperwork and reviews. Hopefully, that substantial gap was mainly due to the fact that it was the first time NASA and SpaceX had to work together to launch Crew Dragon.
For Crew Dragon’s second Falcon 9 launch, successfully completed on January 19th, 2020, the rocket wrapped up its static fire test on January 11th — a major improvement compared to Demo-1. That suborbital In-Flight Abort (IFA) test isn’t directly comparable to Crew Dragon’s orbital launch debut, but it does encourage at least a little confidence that Demo-1’s six-week review period was an outlier.
Thankfully, Bridenstine says that all major Crew Dragon issues have been effectively closed out or are very close to closure as of April 2020. A SpaceX contractor was recently forced to prematurely drop a Crew Dragon parachute test vehicle on March 25th, destroying the mockup capsule before it could complete two final tests. The NASA administrator now says that all parties have agreed to complete those tests with a different mockup and will use a C-130 cargo plane instead of a helicopter.
Bridenstine is also confident that the coronavirus pandemic – hampering almost all forms of industry in every afflicted country – will also have little to no impact on Crew Dragon’s astronaut launch debut schedule. NASA and SpaceX have put in place strict new rules and changed a number of procedures to further mitigate risk, helped by the fact that astronaut launches to the International Space Station (ISS) already operate with cleanliness and disease prevention as a major priority.
Finally, the NASA administrator also stated that SpaceX’s March 18th in-flight engine failure was “not going to impact our commercial crew launch,” confirming that SpaceX already has “a really good understanding of” what went wrong. Most likely, this means that Falcon 9 B1048’s stumble was directly related to the fact that the booster was flying for the fifth time – a first for a SpaceX rocket and orbital-class rocket boosters in general. Crew Dragon Demo-2 will be Falcon 9 booster B1058’s first launch.
Ultimately, while there are certainly good reasons to remain skeptical of NASA’s increasingly frequent assurances that Crew Dragon’s astronaut launch debut remains on track for late-May or June 2020, there are at least as many good reasons to stay confident.
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
