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SpaceX’s second astronaut launch a step closer after NASA announcement
SpaceX’s second astronaut launch is a a step closer to flight after NASA and JAXA announced the third and fourth astronauts assigned to ride Crew Dragon to the International Space Station (ISS) on its first operational mission.
On the cusp of March 30th and 31st, the Japanese Space Agency (JAXA) made the first Crew Dragon-related announcement of the day, revealing the assignment of astronaut Soichi Noguchi to SpaceX’s Crew-1 launch. Hinging entirely on the success of SpaceX’s imminent Demo-2 astronaut launch debut, a critical demonstration mission scheduled to launch no earlier than mid-to-late May 2020, Crew Dragon’s Crew-1 mission will be the spacecraft’s first operational mission ferrying humans to and from the space station. NASA followed up JAXA’s announced hours later, revealing that astronaut Shannon Walker would be the fourth and final crew member aboard Crew Dragon’s Crew-1 launch.
Including Boeing’s Starliner and SpaceX’s Crew Dragon crewed demonstration missions, known as the Crewed Flight Test and Demonstration Mission 2 (Demo-2 or DM-2), respectively, NASA has purchased six astronaut launches from both providers. In theory, one Starliner and Crew Dragon launch per year – spaced out six or so months apart – should be enough to meet NASA’s space station transportation needs, meaning that the space agency’s 12 contracts should last until 2025 or 2026. Boeing’s Starliner appears to be delayed indefinitely after multiple near-catastrophic failures on its first Orbital Flight Test (OFT) but if SpaceX’s Demo-2 mission goes as planned, Crew Dragon could be set to enter operational duty as early as Q4 2020.
SpaceX’s Crew-1 mission manifest now includes NASA astronauts Mike Hopkins, Victor Glover, and Shannon Walker, as well as JAXA astronaut Soichi Noguchi and will likely carry an additional 100-200 kg (200-400 lb) of cargo to the International Space Station (ISS). While all eyes are reasonably on Crew Dragon’s Demo-2 mission, right now, the spacecraft’s Crew-1 through -5 missions are where SpaceX has the opportunity to gain extensive experience launching humans on an operational, semi-routine basis.
Making up at least half of the backbone of NASA’s new domestic astronaut launch capabilities, Crew Dragon and Falcon 9 will hopefully prove themselves to be as reliable and dependable as they and their predecessors have been over the years. Cargo Dragon, SpaceX’s first orbital-class spacecraft and the first private vehicle to visit the ISS, has successfully resupplied the space station and safely returned to Earth each of the 20 times the spacecraft reached orbit. Unsurprisingly, SpaceX ran into intermittent technical issues over those numerous flights, but all of those anomalies were solved on the fly and never prevented mission success or spacecraft recovery.
Falcon 9’s first in-flight failure destroyed the CRS-7 Cargo Dragon spacecraft in June 2015 and cut the mission short before it could reach orbit, but the failure was entirely unrelated to Dragon. Falcon 9’s second catastrophic failure occurred less than 15 months later, also a fault of a small but explosive rocket design flaw. From January 2017 to March 2020, however, Falcon 9 and Falcon Heavy rockets have completed 58 consecutively successful launches. With that streak of success, by certain measures, Falcon has become the most reliable operational rocket family in the world, tied with ULA’s famously reliable Atlas V and slightly better than Arianespace’s Ariane 5.
In short, while Cargo Dragon can’t hold a candle to the sheer scale of Russia’s Soyuz and Progress spacecraft flight histories, Falcon 9 is one of the two most reliable launch vehicles in operation and Crew Dragon will stand on the back of one of the most reliable spacecraft ever built in recent history. With (perhaps more than a little) luck, Boeing’s Starliner spacecraft – launched atop Atlas V, the other most reliable operational rocket – will hopefully be able to develop its own record of reliability in the next several years, but it will never be able to compete with the Cargo Dragon heritage Crew Dragon directly benefits from.
Boeing’s next Starliner mission is up in the air after the spacecraft’s almost disastrous orbital launch debut. Most likely, NASA will require a second uncrewed flight test, this time including the space station rendezvous, docking, and departure attempt Boeing had to cancel after Starliner’s major software failure. A second OFT would likely be ready for flight no earlier than Q3 or Q4 2020, depending on NASA’s investigation findings and requirements. If NASA remains confident and things go perfectly during the likely OFT2 mission, Starliner’s Crew Flight Test (CFT) could maybe launch by the end of 2020.
Crew Dragon’s Demo-2 astronaut launch debut is aiming for what NASA says is a mid-to-late May launch, although the mission is more likely to fly in the late-May to mid-June time frame. If Demo-2 launches on schedule (H1 2020) and is as flawless as Crew Dragon’s uncrewed Demo-1 launch debut, SpaceX could be ready to launch its second astronaut mission (Crew-1) as early as Q4 2020, possibly around the start of the quarter. With so much contingent on near-term reviews and tests, schedules beyond Demo-2 are unsurprisingly fluid.
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
