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SpaceX CEO Elon Musk says “overdue” Starship update is coming soon
CEO Elon Musk says he may finally present the first cohesive update on SpaceX’s next-generation Starship rocket development program in more than two years.
While Musk routinely makes Starship-focused appearances and comments in public or by webcast every 3-6 months, there is a certain brand of update – along the lines of a high-profile tech product reveal – that the SpaceX CEO has only presented four times since Starship’s predecessor was first revealed in September 2016. Accompanied by a relatively detailed slide deck, the four main updates he’s given have provided a large amount of background on the status of Starship development and a variety of next steps – ranging from near-term plans to targets still a decade or more in the future.
Musk has not provided an explicit Starship update in 2020 or 2021. Generally speaking, in the more minor events he’s semi-regularly attended over the last two years, the SpaceX CEO will give a brief overview (sometimes clearly prepared; sometimes not) to a miscellaneous audience that usually isn’t the most familiar with Starship, usually resulting in a great deal of tried and true broad-strokes talking points with a few new details mixed in. Finally, the audience – while undoubtedly well-meaning – asks a number of questions, the vast majority of which have already been asked and answered or could be with Google and a few minutes of basic research.
As with Musk’s (un)prepared remarks, there are usually a few gems of new information left to be found in the rough. The end result: the only true Starship updates are those organized by SpaceX itself with an informed audience and a thoroughly prepared presentation and talking points.
Put a slightly different way, SpaceX has yet to provide a 2016-2019-style Starship presentation since the company actually began building and testing prototypes that approach the final orbital-class ship and booster designs. In those two years, SpaceX has made a truly surreal amount of progress, more or less completing a new prototype every month and flying one of those prototypes every 3-4 months. Most recently, SpaceX completed and static fired a Super Heavy booster prototype, completed and repeatedly static fired the first orbital-class Starship prototype, finished two more Super Heavy boosters, and is on the verge of preparing one of those boosters for the first thorough Super Heavy qualification testing.
If things move in SpaceX’s favor, the Federal Aviation Administration (FAA) could complete an environmental assessment later this month and approve a license for the first one or several orbital Starship launch attempts in early 2022. SpaceX has already begun rapidly building two more orbital-class Starship prototypes and will soon have as many as three ships and two boosters ready for proof testing and an imminent series of orbital test flights. After four successful static fires, one of which fired up all six Raptor engines for the first time, Starship S20 is effectively ready for flight whenever Super Heavy Booster 4 (B4) follows suit.
In short, there are a nearly limitless number of activities and plans that Musk could shed a great deal of light on in an official update presentation. Per Musk, the CEO wants to provide that update as early as December 2021 but no later than January 2022. It’s hard to say if he will actually follow through: more than a year ago, Musk promised a Starship update in October 2020, and that’s not the only time in the last two years that the CEO has stated that he’d present a new update soon. It’s possible that Musk is waiting on a specific Starbase hardware milestone before presenting his long-awaited update – perhaps the completion of Super Heavy B4 qualification testing or the next full-stack milestone, in which Starship S20 (now proofed and ready for flight) will be installed on top of the booster for the second time.
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
