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SpaceX CEO Elon Musk updates schedule for first orbital Starship launch
SpaceX CEO Elon Musk has presented the first significant update on the company’s Starship program since September 2019, offering a couple of new details about the status of the first orbital launch attempt of the largest and most powerful rocket ever built.
Unfortunately, above all else, the promised update was primarily a rehash of the broad-strokes vision of SpaceX’s Starship and Mars programs, as well as some basic details – most already known – about the rocket, its Raptor engines, and how it will be operated. Nonetheless, a large portion of the event was dedicated to audience questions, some of which actually extracted some specific details from the SpaceX CEO. Perhaps the single most important news: a rough but updated schedule for Starship’s first orbital test flight.
To be clear, a great many questions remain unanswered. Months after Starbase’s first orbital tank farm reached some degree of completion, SpaceX has yet to fill four main liquid methane (LCH4) tanks with even an ounce of fuel. Over the same period, the farm’s five liquid oxygen and nitrogen (LOx/LN2) tanks have been filled with thousands of tons of propellant and coolant. Why is still entirely unclear, save for speculation that SpaceX ran afoul of rudimentary methane storage regulations and is ever so slowly rectifying those errors with modifications. Without so much as a partially operational tank farm, SpaceX will be unable to attempt an orbital Starship launch, let alone start the process of qualifying a Super Heavy booster for flight with wet dress rehearsals (WDRs) and static fire tests.
Musk also failed to confirm or offer an educated guess as to which Starship and Super Heavy booster will support the first orbital test flight (OTF), whether the first OTF will truly reach orbit (rather than ‘just’ orbital velocity), and what will happen to Ship 20 and Booster 4 if – as a great deal of speculation suggests – they’ve fallen out of favor. If they’re to be replaced, it’s also unclear why that is or how long it might take to qualify a new ship and booster given that Super Heavy B4, for example, has yet to attempt a single static fire test a full six months after it first reached its full height.
Nonetheless, largely thanks to questions asked by members of the media, Musk did offer some valuable insight into Starship’s first orbital-class test flight. The SpaceX CEO says that he believes the Federal Aviation Administration (FAA) could complete an environmental assessment of Starbase as early as March. In the same presentation, Musk stated that SpaceX would “hopefully [complete environmental reviews] a couple months.” A lack of environmental approval has been the single most important bottleneck of orbital Starbase launch operations for months. The FAA originally anticipated that those reviews would be complete by the end of 2021 but recently delayed the estimated date of completion to the end of February 2022. Another delay from February to March (or later) has been expected for weeks.
It’s unclear how seamless the whole process will be but SpaceX will also need to receive an FAA license for orbital Starship launches after clearing environmental reviews. That could take days, weeks, months, or even a year or more. If SpaceX doesn’t receive a Finding Of No Significant Impact (FONSI) on its Starbase environmental assessment (EA) and instead has to complete a far more extensive Environmental Impact Statement (EIS), Starbase could be stuck in bureaucratic gridlock well into 2023 or even 2024.
Thankfully, Musk is extremely confident in SpaceX’s alternatives. In the event that Starbase becomes indefinitely unusable, SpaceX has already received full environmental approval to launch Starship out of Kennedy Space Center Pad 39A. The company has already begun the process of assembling a Starship launch and catch tower offsite and Musk believes that a Pad 39A Starship launch site could be brought online in just 6-8 months if SpaceX refocuses all of its Starship resources onto Florida.
The CEO also says that SpaceX’s goal is to have the hardware needed for Starship’s first orbital test flight ready to launch around the same as regulatory approval is secured – “hopefully a couple months for both,” in Musk’s words. If Starship S20 and Booster 4 are still assigned to mission, that schedule is not difficult to believe. Starship has already completed virtually all of the ground testing needed to qualify it for flight, while – from the outside – Super Heavy has never looked more ready for static fire testing.
If SpaceX intends to use a different ship and booster, though, the company will have to cut the amount of time needed for final assembly and qualification testing by a factor of two or three relative to B4/S20. If the next ship and booster pair takes a similar amount of time as B4/S20, the hardware needed for Starship’s first orbital launch attempt might not be ready until August or September 2022. SpaceX will also need to build, test, qualify, and ship around three-dozen Raptor 2 engines, the production of which could singlehandedly take at least six or seven weeks at the current pace of production.
Ultimately, no matter where the cards currently in the air end up falling, it looks like SpaceX has an extremely busy – and hopefully fruitful – year of Starship development and testing ahead of it
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
