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SpaceX’s first Starship hop on hold for historic Crew Dragon astronaut launch
SpaceX CEO Elon Musk says that he’s “redirected SpaceX’s priorities” to be almost entirely focused on Crew Dragon’s imminent astronaut launch debut, delaying Starship’s own hop test debut by at least a week or two as a result.
As of now, SpaceX’s Crew Dragon spacecraft remains on track to lift off with NASA astronauts for the first time ever at 4:33 pm EDT (20:33 UTC) on Wednesday, May 27th. Known as Demonstration Mission 2 (Demo-2), it will be Crew Dragon’s second orbital launch, third launch on a Falcon 9 rocket, and – most importantly – the United States’ first domestic astronaut launch in almost a decade. Although NASA has still managed to maintain a continuous presence at the International Space Station over the last nine years by paying Russia’s space agency more than $4 billion for roughly six dozen seats on Soyuz spacecraft, Demo-2 will be NASA’s first astronaut launch from the US since June 2011.
Built entirely by SpaceX with funds awarded by NASA, the company’s Crew Dragon spacecraft and Falcon 9 rocket will effectively singlehandedly return the United States’ ability to launch its own astronauts. Funded along with Boeing to ensure that NASA has two redundant spacecraft available, the latter company’s Starliner spacecraft has run into extensive delays after its orbital flight test (OFT) uncovered dangerously shoddy software and quality control. If Boeing is lucky, NASA might clear Starliner for its own crewed flight test (CFT, equivalent to Crew Dragon Demo-2) in the first half of 2021. As a result, a vast amount of pressure is on SpaceX’s shoulders to successfully launch astronauts for the first time ever just a few days from now.
Of course, SpaceX is not unilaterally focused on Crew Dragon or its inaugural astronaut launch, even if it might be the single most important mission in the company’s 18 years of operation. For a company as large as SpaceX, it’s simply not practical or valuable to have every single employee working on one project, while having too many people on a given project would also likely be to its detriment. Nevertheless, Musk – in an interview with Aviation Week’s Irene Klotz – stated that he’d redirected SpaceX’s priorities to be “very focused” on Demo-2.
Aside from Crew Dragon Demo-2, SpaceX operates a Starlink satellite factory near Seattle, builds and assembles all aspects of Falcon rockets and Dragon spacecraft at its Hawthorne, CA headquarters, tests those rockets and spacecraft in McGregor, Texas development facilities, and builds, tests, and flies Starship prototypes in Boca Chica, Texas. (The company has many, many other operations around the US but the list above at least covers the bulk of the company’s workforce.)
Those myriad programs can’t simply freeze operations without catastrophically impacting future plans and schedules, meaning that Musk’s “redirection” is likely more an effort to keep the public focus on Crew Dragon, versus actually retasking thousands of employees to do work that probably doesn’t (but might) exist. Still, the company has definitely taken some real steps to stay laser-focused on Crew Dragon where practical.
Most notably, SpaceX has already indefinitely delayed its eight launch of 60 Starlink communications satellites, previously scheduled to lift off no earlier than (NET) May 19th. Now, Musk says that SpaceX has also decided to delay the first flight test of a full-scale Starship prototype until after Demo-2 successfully launches, implying that the company could have potentially launched Starship SN4 for the first time later this week.
In fact, SpaceX has three Starlink launches – including the mission delayed from May – now scheduled in June 2020, as well as Falcon 9’s second US military GPS III satellite launch at the end of the month. It’s unclear whether SpaceX will retest Starship SN4 after its off-nominal May 19th Raptor test or move directly into flight test operations, but its next South Texas test period has windows on May 28th, May 29th, and June 1st. In short, the next ~5 weeks are set to be a wild ride for SpaceX, to put it mildly.
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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.”
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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
