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SpaceX Crew Dragon spacecraft sails home after flawless in-flight abort test
SpaceX’s newest Crew Dragon spacecraft has successfully returned to port aboard one of the company’s dedicated recovery vessels, neatly wrapping up what appears to have been a completely flawless in-flight abort (IFA) test.
Designed to prove that Crew Dragon can safely escape a failing Falcon 9 rocket at essentially any point from the launch pad to orbit, SpaceX voluntarily chose to perform a full-fidelity IFA test – something NASA left up to both it and Boeing. Boeing instead decided to extrapolate from a pad abort test – which SpaceX completed in 2015 – and a presumably large number of digital simulations to verify that Starliner would survive an in-flight abort.
To be clear, NASA is explicitly okay with this, but space agency officials did not shy away from openly embracing the superiority of integrated flight testing at several points both before, during, and after SpaceX’s second Crew Dragon launch. Although it will almost certainly remain (publicly) unsaid, there should be little doubt that for astronauts scheduled to fly on either Crew Dragon and Starliner, the successful completion of in-flight abort and pad abort tests almost certainly engenders at least a little more confidence in the vehicle they will be entrusting their lives to.
It’s worth noting that although NASA argues – perhaps soundly – that digital modeling, a pad abort test, and an orbital flight test are enough to determine whether any given spacecraft is safe enough to launch US astronauts, the unspoken reality – or at least a large part of it – is that cost is a major concern. At this point in time, NASA’s Commercial Crew Program (CCP) contracts are expected to cost a total of $3.1B for SpaceX and $5.1B for Boeing – both including at least four total orbital launches of their respective spacecraft.
In simpler terms, despite the fact that SpaceX has received a full $2 billion (~40%) less than Boeing to accomplish the same tasks in the same time, SpaceX’s Crew Dragon completed a flawless orbital launch debut and space station rendezvous with Crew Dragon almost 10 months before Boeing’s Starliner suffered a serious partial failure in space. Simultaneously, for $2 billion less, SpaceX has now given NASA a seemingly flawless full-up in-flight abort test of Crew Dragon before the space agency will fully entrust the spacecraft with the safety of its astronauts.
In the last 10 or so weeks, Boeing has thus suffered a minor Starliner parachute failure, a far more concerning spacecraft failure during its first orbital flight test (OFT), has no plans to perform an in-flight abort test, and nevertheless still wants Starliner’s next launch to carry NASA astronauts.
A clear path ahead
SpaceX, on the other hand, has now completed two seemingly-flawless integrated launches of Crew Dragon on a Falcon 9 rocket – one of which successfully rendezvoused with the ISS and returned to Earth; the other of which has now proven that Crew Dragon can whisk astronauts to safety from a failing supersonic rocket. SpaceX says it will carefully inspect capsule C205 and eventually refurbish the spacecraft, although it’s entirely unclear what kind of mission the company could foreseeably reuse it on in the near future.
Speaking shortly after Crew Dragon’s second flawless launch, SpaceX CEO Elon Musk said that he had spoken with NASA administrator Jim Bridenstine just prior to the post-launch press conference and together came up with a response to the most obvious question: when will SpaceX fly astronauts? In short, Musk was almost certain that all the hardware needed for the Demo-2 astronaut test flight – Falcon 9 booster, F9 upper stage, Crew Dragon capsule C206, and a Dragon trunk – will be completed, tested, and delivered to Cape Canaveral by late-February 2020.
If everything goes exactly as planned, NASA – prior to launch – indicated that an early-March 2020 launch was actually within reach. After launch, Musk tempered expectations, stating that SpaceX would almost certainly launch its first NASA astronauts sometime in Q2 – perhaps as early as April. Regardless, it looks like we wont have to wait more than a few months to find out.
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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.”
News
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
