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Elon Musk sets expectations for SpaceX’s first orbital Starship launches
CEO Elon Musk says that SpaceX’s first successful orbital Starship launch will “probably [occur] between 1 and 12 months from now,” revealing a surprising amount about the near future of the next-generation rocket program in a short tweet.
The famously (over)optimistic CEO’s latest Starship schedule estimate is uncharacteristically cautious, hedged, and open-ended while simultaneously setting some reasonable expectations about the likelihood of success.
First publicly unveiled in September 2016, the fully-reusable, next-generation rocket that eventually became today’s stainless steel Starship was tentatively scheduled to begin orbital flight testing in 2020. About two years after that first announcement, CEO Elon Musk unexpectedly sacrificed years of development work on Starship structures when he decided to replace the rocket’s carbon fiber composite airframe with stainless steel. Years later, it’s still hard to say if that decision was the right one, but Starship development has been surprisingly unperturbed by such an immense last-second design change.
While Musk was saying almost the same thing 12 months ago, the CEO now believes that Starship’s first orbital launch attempt could happen as early as next month – September 2022. Simultaneously, Musk believes that the first orbital launch attempt could be “successful,” although it’s not entirely clear how he defines “success.” Less optimistically, his August 2nd tweet also implies that he wouldn’t be surprised if it takes SpaceX a year and multiple attempts to achieve Starship’s first successful orbital launch.
It’s even possible to interpret his tweet as a warning that Starship’s first orbital launch – while more likely to be successful – could be up to 12 months away.
Somewhere in the middle (4-8 months from now) is a more reasonable bet for Starship’s first successful orbital launch. As of early August, no aspect of recent Starship or Super Heavy booster testing is particularly encouraging for a hypothetical September launch attempt: Super Heavy Booster 7 is still in the middle of repairs after surviving an accidental explosion, and Starship 24’s latest round of testing – while not yet destructive – has been sluggish.
If SpaceX (beginning on August 3rd) abruptly flips a switch and starts to test Ship 24 with some degree of urgency, it’s possible that the Starship could be cleared for the first orbital launch attempt by the end of August. Super Heavy is a much larger hurdle. Aside from the apparent removal of all of Booster 7’s 33 Raptor engines, which will likely take weeks to reinstall and re-cover, its status is somewhat ambiguous. If SpaceX decides to fast-track Booster 8, which is nearly ready for engine-less proof testing, the Super Heavy side of Starship’s orbital launch debut is probably at least two or three months away from flight readiness.
Realistically, assuming SpaceX isn’t going to take a massive risk and try to launch an unqualified or minimally qualified rocket, Starship’s first orbital launch attempt is unlikely to occur before October or November. It’s even harder to estimate whether Starship’s first full launch will be successful. If “success” is defined by simply reaching orbit or deploying a few next-generation Starlink satellites in orbit, SpaceX’s odds are not terrible. If success includes a Super Heavy booster catch and Starship surviving its first orbital reentry, they trend towards slim to none.
Perhaps SpaceX will defy the odds. Up next, Starship S24 is expected to begin static fire testing as early as August 3rd or 4th.
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
