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SpaceX dropped a Crew Dragon mockup to save a helicopter and its passengers
SpaceX says it encountered an issue that forced it to drop a Crew Dragon spacecraft mockup during parachute testing — not a failure of the vehicle or its parachutes, to be clear, but still a problem nonetheless.
This is now the second significant hurdle SpaceX’s Crew Dragon astronaut spacecraft has faced in the last few days, following the revelation that NASA will not permit the company to launch astronauts until it completes an investigation into an in-flight rocket engine failure during its March 18th Starlink launch. There is likely no technical corollary for the new Falcon 9 rockets that will launch NASA astronauts, but existing Commercial Crew Program (CCP) contract rules still require SpaceX’s internal investigation be completed before it can proceed. With lives on the line, caution – within reason – is unequivocally preferable to the alternative.
Thankfully, SpaceX’s parachute test article anomaly should have a much smaller impact on Crew Dragon’s astronaut launch debut schedule, but it’s unlikely to have zero impact.
“During a planned parachute drop test [on Tuesday], the test article suspended underneath the helicopter became unstable. Out of an abundance of caution and to keep the helicopter crew safe, the pilot pulled the emergency release. As the helicopter was not yet at target conditions, the test article was not armed, and as such, the parachute system did not initiate the parachute deployment sequence. While the test article was lost, this was not a failure of the parachute system and most importantly no one was injured. NASA and SpaceX are working together to determine the testing plan going forward in advance of Crew Dragon’s second demonstration mission.”
SpaceX — March 24th, 2020
On March 24th, SpaceX says it was preparing for one of the last system-level Crew Dragon parachute tests planned before the spacecraft can be declared ready for human spaceflight. These final tests are reportedly focused on corner cases, referring to unusual but not impossible scenarios the spacecraft might encounter during operational astronaut landing attempts. Those likely include parachute deployment scenarios that are far more stressful than a nominal reentry, descent, and landing would allow.
Regardless, things did not go as planned during Tuesday’s test attempt. SpaceX primarily uses cargo planes, helicopters, and large balloons to carry its Crew Dragon test articles (not actual functional spacecraft) to the altitudes and speeds needed to achieve certain test conditions. On March 24th, SpaceX was using a helicopter – either a civilian Blackhawk or a much larger Skycrane.
For unknown reasons, the helicopter carrying the Crew Dragon test article on March 24th began to experience “instability”, likely referring to some sort of resonance (wobble, sway, oscillation, etc). Out of an abundance of caution, the pilot – likely highly trained – decided the instability was becoming an unacceptable risk and chose to drop the cargo load (a Crew Dragon mockup). Unsurprisingly, the parachute test article was not ready to drop and plummeted to the Earth without any kind of parachute deployment, likely pancaking on the desert floor shortly thereafter.
Again, it needs to be noted – as SpaceX did above – that the loss of the Crew Dragon parachute test article was entirely unrelated to the performance of the spacecraft or the parachutes it was testing. The mockup destroyed in the incident is essentially just a boilerplate mass simulator shaped like a Crew Dragon capsule to achieve more aerodynamically accurate test results. As such, it’s far simpler and cheaper than an actual Dragon spacecraft and shouldn’t take long at all to replace if SpaceX doesn’t already have a second similar mockup ready to go.
Thankfully, that means that the loss of the test article should have next to no serious impact on Crew Dragon’s inaugural astronaut launch schedule. Planned no earlier than (NET) mid-to-late May according to NASA’s latest official statement, SpaceX and the space agency still have at least a month and a half to work through a final parachute test campaign, complete an investigation into Starlink L6’s Falcon booster engine failure, and finish several trees worth of paperwork and reviews. Delays remain likely but they shouldn’t be more than a few weeks, barring any future surprises.
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
