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SpaceX’s next Crew Dragon astronaut mission settles on Halloween launch
After initially moving forward 24 hours from October 31st to October 30th, SpaceX’s next Crew Dragon astronaut mission has slipped back to its initial Halloween launch date.
Again scheduled to lift off around 2:21 am EDT (UTC-4) on Halloween morning, SpaceX’s Falcon 9 rocket and Crew Dragon spacecraft are on track to support their third operational NASA astronaut launch since November 2020. Known as Crew-3, the mission will carry NASA astronauts Thomas Marshburn, Raja Chari, Kayla Barron, and ESA (European Space Agency) astronaut Matthias Maurer to the International Space Station (ISS). A few weeks later, Crew-3 will take over command of the US ISS segment, allowing Crew Dragon Crew-2 astronauts Shane Kimbrough, Megan McArthur, Akihiko Hoshide, and Thomas Pesquet to return to Earth after some six and a half months in orbit.
Unlike Crew-2, which became the first astronaut launch in history to use a flight-proven orbital space capsule in April 2021, Crew-3 astronauts will head to the ISS inside a new capsule. Likely to be Dragon 2 capsule #10 (C210), SpaceX says it will be the first of at least two new Crew Dragons scheduled to join the company’s fleet of reusable crew capsules between now and mid-2022. Each Dragon 2 capsule (Crew and Cargo variants) is designed and rated to complete at least five orbital spaceflights before retirement and there’s a good chance that that five-flight limit can be expanded if needed.
New Dragon aside, Crew-3 will still be the second time professional astronauts launch on a flight-proven liquid rocket booster – SpaceX’s Falcon 9. Between Crew-2 and Crew-3, SpaceX also launched four private, rookie astronauts – a world first – on a flight-proven Dragon and Falcon 9 booster, further strengthening the pair’s pedigree as the first privately-developed, reusable, human-rated rocket and spacecraft. Crew-3 will be Falcon 9 booster B1067’s second Dragon launch and second launch overall after a successful Cargo Dragon launch debut in June 2021.
When the Commercial Crew Program culminated in NASA awarding SpaceX $2.6B to develop Crew Dragon and Boeing $4.2B to develop Starliner, the goal was always to field two redundant crew transfer vehicles and then alternate launches of those vehicles every six or so months. However, despite charging NASA almost two-thirds more than SpaceX to provide the exact same service, Boeing’s Starliner program has run into numerous hardware and software issues over the last two years, causing major delays.
As a result, more than 31 months after a SpaceX Crew Dragon aced its first uncrewed test flight to and from the space station and almost 18 months after Dragon launched its first two astronauts, Boeing’s Starliner has yet to complete a successful orbital test flight and yet to launch a single astronaut. Recently, Boeing’s second uncrewed test flight – required after Starliner suffered near-catastrophic software failures on its first attempt – has been delayed by chronic valve issues from July or August 2021 to May 2022. NASA has also begun shuffling astronauts originally scheduled to launch on Starliner’s Crew-1 equivalent mission to Crew Dragon’s August 2022 Crew-5 mission.
Starliner’s first crewed flight test (CFT) is entirely dependent upon the near-flawless success of OFT-2 – far from guaranteed. Per Boeing’s senior Starliner program manager, the current best-case scenario would see the company launch CFT six months after OFT-2 – no earlier than November 2022 if OFT-2 flies next May. In other words, based on the program’s history of chronic delays, it’s more likely than not that Starliner won’t fly crew until early 2023. Given Crew-5’s August 2022 launch target, Boeing would have to ace its crewed flight test, pass extensive NASA post-flight reviews, and achieve NASA certification in just a month or two for SpaceX and Crew Dragon to not end up flying Crew-6 in February or March 2023.
Put simply, Boeing has gotten itself into a situation where it would take a minor miracle for Starliner to complete a single operational launch before SpaceX launches all six NASA Crew Dragon missions currently on contract – and back to back, no less. Crew-3 will mark the halfway point to a milestone that would have been unfathomable just a few years ago.
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
