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SpaceX CEO Elon Musk’s Starship presentation will have to wait a few more weeks
While the FAA’s slow pace continues to delay Starhopper’s second major flight test, SpaceX CEO Elon Musk says that his planned Starship 2019 presentation will also be delayed and will instead follow a major integration milestone for the first orbital-class Starship prototype.
That milestone – likely representing the preliminary completion of Starship Mk1’s primary structure – could apparently come as early as mid-September, a claim that is at least partially supported by the relentless progress SpaceX has made in the last few weeks. Although a 200m (650 ft) Starhopper flight test would undeniably bode well for the health of SpaceX’s full-scale Raptor engine development, the partial completion of the first orbital-class Starship prototype would carry far more weight for the whole of SpaceX’s next-generation, fully-reusable launch vehicle.
Back in early August, about a week after Starhopper completed its inaugural July 25th flight test, Musk tweeted that his promised Starship update presentation would take place on August 24th, previously hoped to be “a few weeks” after Starhopper’s second major flight test.
He quickly confirmed that it would take place in Boca Chica, Texas, while also cryptically adding that Starship Mk1 could be “almost ready to fly” by then. This led your author to speculate just yesterday that any further FAA-related Starhopper delays could very well push the low-fidelity testbed into early retirement if Starships Mk1 and Mk2 can maintain their extremely rapid rate of progress.
“According to Musk, either or both of those orbital-class prototypes could be ready for their inaugural flight tests as early as mid-September, perhaps just 1-2 months from now. Given that Starships Mk1 and Mk2 are significantly higher fidelity than Starhopper, the ungainly testbed will likely become redundant the moment that its successors are ready for flight. In other words, Starhopper is fast approaching the end of its useful life, and SpaceX’s fight for a 200m hop-test permit could ultimately be a waste of time, effort, and money if said permit doesn’t also cover Starship Mk1.”
Teslarati.com, August 20th, 2019
Over the course of the last 3-4 weeks, SpaceX’s Starship assembly progress has been absolutely relentless, ranging from adding 20+ meters of height to tank sections, installing major fuel tank bulkheads, and more. Most notably, and to be discussed in greater detail in an upcoming Teslarati article, SpaceX has accepted delivery and begun installation of two identical triple-Raptor thrust structures and bulkhead seals in both Texas and Florida.
Additionally and at least as excitingly, SpaceX’s Boca Chica facilities accepted delivery of what is – by all appearances – the first finished Starship landing leg, likely one of two actuating fins per a September 2018 design update. According to Musk, the design of Starship’s aerodynamic control surfaces and legs has changed since that 2018 update, but the leg that was delivered on August 18th certainly looks almost exactly like those pictured in official SpaceX media dated before Musk’s reported changes.
Just like official pre-steel renders from SpaceX, the delivered leg appears to have attachment points and hinges on its cylindrical end, while the bulk of the leg is tapered. Fascinatingly, the leg’s exterior appears to have been constructed primarily via riveting steel, producing an aesthetic that screams “steampunk spaceship”.
In short, given just how fast SpaceX is progressing with Starship Mk1and Mk2 and combined with the FAA’s permitting delays, it’s not surprising in the slightest that CEO Elon Musk has decided that the official 2019 update would be better accompanied by a major Starship Mk1 milestone. According to Musk, Starship Mk1 and Mk2 could actually be ready for their first flight tests – powered by at least three Raptor engines – as early as mid-September to mid-October.
By all appearances, ~4 weeks is an eternity in Starship assembly time and Musk’s now-mid-September presentation will almost certainly be worth waiting for.
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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
