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SpaceX CEO Elon Musk to present first Starship update since 2019 [webcast]
Barring surprises, SpaceX CEO Elon Musk remains on track to present the first major update on Starship’s development since September 2019 – almost two and a half years ago.
While it’s no longer clear that SpaceX will be able to stack Starship on top of Super Heavy in time for the fully-stacked rocket to serve as an imposing backdrop for the media event, Musk seemingly remains on track to update the world on the status of Starship development as early as 8pm CT (6pm PT, 9pm ET) on Thursday, February 10th (02:00 UTC 11 Feb). Assuming the event is similar to the SpaceX CEO’s first four major Starship presentations, it will be broadcast live to the world on the company’s YouTube channel.
Musk first revealed SpaceX’s detailed plans for a massive, fully-reusable Mars rocket in September 2016. At that point, the rocket – known as the Interplanetary Transport System (ITS) – was to be 12 meters (39 ft) in diameter, 122 meters (400 ft) tall, and made almost entirely out of carbon-fiber composites. In theory, it would have been able to launch up to 300 tons (660,000 lb) to low Earth orbit (LEO) – twice the payload of Saturn V, the next most capable rocket.
In 2017, SpaceX slightly pared back its ambition with a vehicle known as BFR, measuring 9m wide and 106m tall with about a third fewer Raptor engines and estimated performance of ~130 tons (285,000 lb) to LEO. In 2018, on top of announcing Japanese billionaire Yusaku Maezawa’s circumlunar DearMoon mission and BFR’s first real launch contract, SpaceX updated BFR’s design, stretching the booster 12 meters for a total height of 118m (390 ft) and hedging its performance figures with an estimate of 100 tons to LEO in a fully-reusable configuration.
Around the same time as Musk’s 2018 BFR presentation, though, the SpaceX CEO made the decision to entirely scrap the rocket’s composites-heavy design, renaming the rocket ‘Starship’ and replacing the material with stainless steel – effectively reverting structures development to the drawing board. The principles of the rocket, its general shape and layout, and the Raptor engine powering it remained the same. Thanks to steel’s extreme affordability relative to cutting-edge composites, SpaceX was able to make rapid progress and ultimately flew Starhopper – a steel water-tower-esque rocket powered by Raptor – less than a year later in July and August 2019.
Less than a year after Starhopper’s 150m (~500 ft) hop, SpaceX successfully hopped a far more mature Starship prototype known as SN5, which relied on far thinner steel and effectively amounted to a full prototype of the tank section of an orbital-class ship. Just a month later, in September 2020, SpaceX repeated the feat with an entirely different Starship prototype, demonstrating repeatability both in production and flight. Three months later, Starship SN8 – featuring flaps, a nosecone, header tanks, and two more Raptor engines – nearly aced its launch debut. In May 2021, after three more failed test flights, Starship SN15 stuck the landing and survived a 10 km launch, more or less fully demonstrating the rocket’s exotic skydiver-style descent and last-second flip for a vertical landing.
Visible progress has slowed and flight testing has halted since SpaceX began pushing for the first orbital Starship test flight in mid-2021. The company decided against reusing Starship SN15 and also chose not to attempt to replicate the ship’s successful landing with Starship SN16, which was ready for testing a matter of days after. Instead, SpaceX has focused on constructing the orbital launch site and slowly finished Starship S20 and Super Heavy B4 – a pair once expected to support the first orbital test flight. While slow compared to all previous Starship prototypes, Ship 20 has nonetheless made excellent progress and is effectively fully ready for a serious flight test. Booster 4, on the other hand, has barely completed cryogenic proof testing and has yet to perform even a partial wet dress rehearsal (with live propellant) or attempt a single static fire test in last five months.
In short, the status of Starship development – and, especially, Booster 4, Ship 20, and the first orbital test flight – has gotten quite a bit murkier over the last several months. February 9th and 10th marked a welcome change of pace, with SpaceX sailing through the very first attempt at stacking Starship hardware with Starbase’s ‘orbital integration tower’ (launch tower) and a trio of giant, robotic arms. Just a handful of hours after the first ‘arm lift’ began, Starship S20 was safely stacked atop Super Heavy Booster 4, assembling the largest rocket in the world for the second time this year.
With any luck, SpaceX CEO Elon Musk’s first presentation in two and a half years – scheduled no earlier than 8pm CST (02:00 UTC) – will shed further light on the company’s progress towards orbital test flights.
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
