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SpaceX aces fifth astronaut launch in a year and half
Less than 18 months after its first crewed launch, SpaceX’s Crew Dragon spacecraft and Falcon 9 rocket have successfully completed their fifth astronaut launch, sending a crew of four on their way to the International Space Station (ISS).
After ~10 days of weather and sequencing delays and two days after Crew-2 astronauts returned to Earth in a separate Dragon, once-flown Falcon 9 booster B1067 and new Crew Dragon capsule C210 (christened Endeavour) lifted off at 9:03pm EST on Wednesday, November 10th with four Crew-3 astronauts aboard.
For NASA astronauts Raja Chari, Thomas Marshburn, and Kayla Barron, and ESA astronaut Matthias Maurer, the launch is just the beginning of a more than six-month stint in low Earth orbit. When they arrive at the ISS around 7pm EST, November 11th, they’ll join one other NASA astronaut and two Russian cosmonauts – temporarily left for three days as a bit of a skeleton crew after Crew-2’s departure. Nominally, Crew-3 would have launched before Crew-2 to allow a true on-orbit hand-off with zero interruption, but poor weather ultimately led NASA to flip the order of operations at the last minute.
With just a few days to prepare, SpaceX and NASA managed to make that significant change happen and Crew-2 returned around 10pm EST on November 8th. Less than two days later, thanks to a near-perfect recovery, Crew-3 lifted off and is now in orbit and on the way to the ISS. SpaceX’s 24th launch of the year, Crew-3 is also its fifth astronaut launch since Demo-2, which saw the company launch its first crewed test flight – carrying two NASA astronauts – on May 30th, 2020.
Relative to other crewed spacecraft, completing the first five astronaut launches in less than a year and a half is no small feat. Crew Dragon is by no means the fastest to reach that five-flight milestone and is actually middle of the pack but a simple list of names and numbers belies the fact that every other spacecraft on that list was developed by a government agency with far more power over their budgets. Crew Dragon’s development, on the other hand, was funded and overseen by NASA but it was fully managed, designed, and built by private company SpaceX under a fixed-price contract.
| Spacecraft | Time to 5 Crewed Flights |
| Gemini | 267d | 8 months 22 days |
| Apollo CSM | 278d | 9 months 5 days |
| Soyuz 7K | 351d | 11 months 16 days |
| Soyuz MS | 386d | 12 months 21 days |
| Mercury | 516d | 16 months 28 days |
| Crew Dragon | 529d | 17 months 11 days |
| Soyuz TM | 571d | 18 months 24 days |
| Shuttle | 578d | 18 months 30 days |
| Soyuz TMA-M | 646d | 21 months 7 days |
| Soyuz TMA | 715d | 23 months 14 days |
| Soyuz T | 749d | 24 months 19 days |
| Vostok | 793d | 26 months 2 days |
| Shenzhou | 3542d | 116 months 11 days |
SpaceX is also on track to launch Axiom-1 (the first all-private astronaut mission to the ISS) and Crew-4 – Dragon’s sixth and seventh astronaut launches – before the second anniversary of Demo-2. Of those seven scheduled launches, four will have been completed for NASA in less than 18 months – a launch cadence the space agency never expected its Commercial Crew Program partners would need to support. However, partner Boeing has unfortunately mismanaged its Starliner spacecraft development, causing multiple in-flight anomalies and ultimately incurring years of delays. Originally scheduled to perform its equivalent of Dragon’s Demo-2 test flight (CFT) in 2020, Starliner’s first crewed launch is now highly unlikely to occur before 2023.
As a result, NASA has been forced to lean entirely on SpaceX and SpaceX has had to pick up the slack and rapidly learn how to operate Crew Dragon at twice its planned cadence. Thankfully, despite the fact that Crew Dragon will ultimately cost NASA ~40% and $2 billion less than Starliner, SpaceX has more than managed to rise to the challenge and ensure that NASA has had uninterrupted access to the ISS since November 2020. Crew-3 continues that uninterrupted access – a service that Crew Dragon and SpaceX alone are now likely to provide until at least early to mid-2023.
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
