News
SpaceX’s first orbital Starship launch slips to March 2022 in NASA document
A NASA document discussing a group’s plans to document SpaceX’s first orbital-velocity Starship reentry appears to suggest that the next-generation rocket’s orbital launch debut has slipped several months into 2022.
In March 2021, CEO Elon Musk confirmed a report that SpaceX was working towards a target of July 2021 for Starship’s first orbital launch attempt. At the time, it seemed undeniably ambitious but far from impossible. Less than half a year prior, SpaceX had kicked off a series of suborbital Starship test flights to altitudes of 10-12.5 km (6.2-8 mi). Beginning in December 2020, SN8 – effectively the first structurally complete Starship prototype – nearly stuck a landing on its first try, only narrowly falling short due to an engine and pressurization issue.
Less than two months later, SpaceX completed and launched Starship SN9 – again with a nearly flawless six-minute flight capped off with an unsuccessful landing attempt. Starship SN10 followed less than a month later and became the first prototype to land in one piece – albeit only for a few minutes. It was two weeks after that near-success – SpaceX’s third launch in as many months – that Musk revealed a goal of July 2021 for Starship’s first orbital launch. At that point in time, it appeared all but inevitable that SpaceX would be technically ready for an orbital launch before the end of the year.
Two weeks after Musk’s comments and less than four weeks after SN10’s near-miss, Starship SN11 gave one of the worst performances yet, invisibly exploding inside a fogbank well above the ground. However, further stoking the fires of optimism, Starship SN15 debuted a number of upgrades and became the first prototype to successfully launch, land, and survive a ~10km test flight in early May. Put simply, SpaceX built five Starship prototypes practically from scratch in roughly eight months and then completed five test flights in less than five months – all of which were largely successful.
SpaceX considered reusing Starship SN15 or launching SN16 to gain more landing experience but ultimately decided to mothball the prototypes to avoid disrupting orbital launch site construction. Just three months after SN15’s successful landing, SpaceX rolled the first orbital-class Starship and Super Heavy to the orbital launch site and briefly stacked the pair (Ship 20 and Booster 4) to their full height, forming the tallest rocket ever assembled. Although largely a photo opportunity, SpaceX still installed a full 29 Raptors on Super Heavy B4 and six Raptors on Starship S20, further raising confidence that the company’s engine production was already up to the task of supplying the nearly three-dozen needed for a single orbital test flight.
However, for reasons that are less than clear, that August 6th full-stack milestone is about where SpaceX’s H1 2021 momentum appeared to run into a brick wall. Perhaps due to a desire to focus on orbital launch site construction even at the cost of avoiding road closures or testing that would require a clear pad, Starship S20 sat on a stand for the better part of two months before completing even a minor test – by far the longest any Starship prototype has waited.
Seemingly in the midst of its third round of Raptor engine removal, Super Heavy B4 has yet to attempt a single test and it’s unclear how close to ready the orbital pad is to support booster proof and static fire tests. Neither ship nor booster has attempted to static fire its Raptor engines, though S20 could potentially be ready for its first test as early as Monday, October 18th.
Combined with recent developments in the FAA’s Boca Chica environmental review process, the odds of SpaceX attempting the first orbital Starship launch by the end of 2021 have rapidly dropped from decent to near-zero. From a technical perspective, it seems likely that SpaceX could still be ready for an orbital launch attempt just a few months from now. From a regulatory perspective, though, it would be practically unprecedented for the FAA to complete a favorable environmental review and approve even a one-off orbital Starship launch license in ~10 weeks. Even the apparent March 2022 target revealed in a NASA poster focused on the agency’s plans to film an orbital Starship reentry via high-altitude jet assumes that the FAA’s review and licensing process will take ~7 months from August 2021 – still extremely optimistic.
Ultimately, after two months with next to no prototype testing, it’s beginning to look like SpaceX has decided to focus on finishing Starbase’s first orbital launch site, refining vehicle designs, and building new prototypes (B5, S21, S22) rather than pushing hard for rapid B4/S20 testing and an imminent launch attempt. As a result, it’s becoming increasingly unlikely that Booster 4 and Ship 20 will fly as new and improved prototypes like Super Heavy B5 and Starship S21 prepare to overtake them.
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.”
News
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
