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SpaceX’s Starbase environmental review suffers third delay
The Federal Aviation Administration (FAA) has announced that the completion of a crucial ‘environmental assessment’ SpaceX needs to begin orbital-class Starship launch attempts out of South Texas has been delayed for the third time.
Official known as a programmatic environmental assessment or PEA, the FAA says it started the process in late June 2021 with the goal of verifying that SpaceX’s Starbase orbital launch site (OLS) was mostly benign before the end of 2021. Compared to a regular EA, the programmatic nature of SpaceX’s Starbase review would theoretically allow the company to start small and gradually expand and add new facilities and capabilities without having to restart the arduous review process for each change.
Along those lines, SpaceX’s first draft PEA requested permission for no more than five full-stack Starship launches per year compared to the maximum of 12 Falcon 9 launches or nine Falcon 9 and three Falcon Heavy launches out of Boca Chica that SpaceX had already received permission for from the FAA in 2014.
Unfortunately, even at the time that the start of the process was announced, completing a full PEA in half a year was already unbelievably optimistic. No comparable review, of which there are effectively none, has been completed anywhere close to that quickly. In the face of substantial local opposition, like in the case of Georgia’s Camden Spaceport, even an FAA environmental review for a relatively small rocket launch facility can make little progress after years of tooth-and-nail fighting.
However, the best possible comparison has always been SpaceX’s own environmental assessment for an almost identical orbital-class Starship launch site at Florida’s Kennedy Space Center. Despite the fact that no untouched ground would be broken and even with the apparent might of NASA behind it, it took the FAA and SpaceX about a full year to complete a Pad 39A EA for up to 24 Starship launches per year. As such, the idea that the FAA would be able to complete a PEA for Boca Chica Starship launches in six months was always almost unimaginable.
It should come as no surprise, then, that nine months after SpaceX and the FAA began their Starbase PEA, they appear to be only marginally closer to completing the review. Days before the original December 31st, 2021 deadline, the FAA announced a delay to February 28th, 2022. On February 14th, the FAA announced a second delay to March 28th. Most recently, on March 25th, the FAA announced a third delay to April 29th.
Put simply, the FAA is effectively saying that it is actually further away from completing SpaceX’s South Texas Starship PEA than it was in December 2021. The extraordinarily opaque nature of the process also means that anyone outside of the loop or without internal sources is left to simply guess what is causing those delays or why the FAA keeps pushing the goalposts back just one or two months at a time when it’s unclear that anyone can actually predict when the process will be completed.
Without journalists filing Freedom of Information Act (FOIA) requests, the full extent of public knowledge about what is causing those delays would be the FAA’s scant few statements on the process. The most valuable information provided thus far is that the FAA is “reviewing the Final PEA,” which does seem to imply some degree of progress. Nonetheless, the agency still included a boilerplate statement noting that it’s “completing consultation and coordination with agencies at the local, State, and Federal level,” making it hard to actually say if any progress has been made. In February 2022, the FAA said it was “continuing consultation and coordination with other agencies.”
In December 2021, the FAA stated that it was “continuing consultation and coordination with other agencies at the local, State, and Federal level” while “SpaceX continues to prepare the Final PEA for…FAA review and acceptance.” By using such vague and unspecific language, the FAA makes what little it does say virtually impossible to parse and barely better than nothing. Solely thanks to documents secured through FOIA, we know that the FAA itself may not actually be to blame for most or all of the PEA’s four months of delays.
Instead, the US Department of the Interior (DOI), Fish and Wildlife Services (FWS), and National Park Services (NPS) may be partially responsible through their required coordination with the FAA, which they appear to be taking full advantage of to exert some form of control over the outcome. Bureaucrats are being bureaucratic, in other words.
Outside of email chains and boardrooms, however, it’s no longer clear that completing the PEA and securing an FAA launch license are the limiting factor for the first orbital Starship test flights. SpaceX CEO Elon Musk recently announced that SpaceX is changing the prototypes assigned to the first full-stack launch – likely to Booster 7 and Ship 24. Super Heavy B7 has yet to begin any kind of testing and Starship S24 is still in several pieces, so it’s safe to say that SpaceX’s new pair are months of concerted testing away from launch readiness.
If anything goes wrong during those tests, any significant design issues are discovered, or any damage is caused, it’s entirely possible that what Elon Musk says could take as few as two months will actually take more like four to six. Only time will tell. For now, the FAA likely has a few months before Starship’s South Texas PEA and full-stack launch license truly become the limiting factor for the rocket’s first orbital launch attempt.
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
