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SpaceX private astronaut launch debut to reuse Crew-1 Dragon spacecraft
A former NASA astronaut now employed by Axiom Space says that SpaceX’s private astronaut launch debut will reuse the same Crew Dragon spacecraft currently supporting NASA’s Crew-1 mission in orbit.
Currently just a few weeks into a planned six-month stint in orbit, potentially marking the longest uninterrupted flight of an American spacecraft ever, Crew Dragon capsule C207 and an expendable trunk section arrived at the International Space Station (ISS) on November 16th. Known as Crew-1, the mission represents SpaceX and NASA’s commercial operational astronaut launch debut, carrying four astronauts to the ISS.
Crucially, the mission has been an almost flawless success so far and Falcon 9 has now completed four Crew Dragon launches without issue. On the Dragon side of things, the Crew-1 spacecraft performed a bit less perfectly than those tasked with flying Demo-1 and Demo-2, but SpaceX handled the minor issues that arose with the professionalism and composure of a team far more familiar with human spaceflight.
Early success aside, there is still some definite uncertainty ahead of Crew Dragon. While several Russian spacecraft have decades of experience spending at least several months at a time in orbit, a crewed US spacecraft has never spent more than 84 days in orbit. SpaceX itself actually beat out NASA to secure the second-place record with Crew Dragon’s 63-day Demo-2 astronaut launch debut, completed with a successful reentry and splashdown on August 2nd.
However, Crew-1 is expected to more than double that previous US record and almost triple SpaceX’s own second-place record, spending roughly 180 days (six months, give or take) in orbit. Barring an unprecedented space station or spacecraft emergency, Crew Dragon C207 will undock from ISS, reenter Earth’s atmosphere, and splashdown in the Gulf of Mexico or the Atlantic Ocean sometime in May 2021. Of course, as the first recoverable US spacecraft to spend anywhere close to that long in orbit, the Crew-1 Crew Dragon will be closely monitored to ensure the safety and reliability of its intricate reentry and recovery systems after some six months exposed to the extremes of space.
Still, success is by far the likeliest outcome. When Crew Dragon C207 splashes down, its four astronaut passengers will be carefully extricated and the inspection and refurbishment process will begin almost immediately thereafter. Crew-1 will technically be the second Crew Dragon spacecraft to be refurbished after an orbital spaceflight, following Demo-2 capsule C206’s inaugural Dragon 2 reuse perhaps just a month or two prior.
The Demo-2 Crew Dragon capsule is currently scheduled to fly a second time as early as March 31st, 2021 on SpaceX’s Crew-2 mission, ferrying another four astronauts to the ISS. If successful, Crew-2 will represent the first commercial astronaut launch ever to reuse both an orbital-class rocket booster and an orbital spacecraft, and the NASA-overseen process of refurbishment and re-flight will thus pave the way for future flight-proven astronaut launches. That includes private company Axiom Space’s first private AX-1 astronaut launch, which is currently scheduled to launch as early as Q4 2021.
AX-1 will be captained by former NASA astronaut Mike Lopez-Algeria and carry three other private astronauts, including Israeli multimillionaire Eytan Stibbe. SpaceX will thus be tasked with launching Israel’s second astronaut ever after Ilan Ramon was killed when a heat shield design flaw caused NASA Space Shuttle Columbia to break up during reentry in 2003.
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
