News
SpaceX’s Starbase environmental review delayed another month
The FAA says that it will take at least another month to complete a crucial environmental review of orbital Starship launches from SpaceX’s South Texas Starbase facilities.
The agency now expects that Starbase’s Programmatic Environmental Assessment (PEA) will be completed no earlier than March 28th, 2022, delaying the process at least another four weeks on top of an initial delay from December 31st, 2021 to February 28th, 2022. However, while the FAA gained some infamy for repeatedly delay SpaceX Starbase launch operations in late 2020 and early 2021, there is growing evidence that other US government agencies – not the FAA itself – are primarily responsible for most of the review’s delays.
Namely, information acquired through a Freedom Of Information Act (FOIA) request indicates that US Departments of Fish and Wildlife Services (FWS) and National Parks Services (NPS) are the primary sources of recent delays and the only real sources of discord this late in the process. As an example, as of the end of October 2021, the NPS had a list of at least 31 comments on SpaceX’s Starbase Draft PEA, each of which would have required a detailed response and additional back-and-forth to refine each response. The critiques and requests cover virtually every aspect of orbital Starship launches from Starbase, including FAA launch license details, recent SpaceX land acquisitions, impacts on a local Civil War battlefield landmark, pad lighting, air quality, noise, paint colors, road closures, Raptor thrust, contingency plans, and more.
Meanwhile, in a general review, the Department of the Interior (DOI) – speaking on behalf of the FWS and NPS – raised concerns about “launch site blast area hazards, closure of FWS and NPS lands, environmental justice (EJ) concerns, NHPA Section 106 and 110(f), [endangered] species, air quality emissions, and climate change impacts. It’s difficult to say how many of the concerns raised are actually serious. For example, the point repeatedly made by the DOI, FWS, and NPS is that hypothetical emissions from a natural gas power plant SpaceX proposed to build in its Draft PEA would violate EPA rules.
However, since that draft was published, there is growing evidence that SpaceX is behind a brand new power distribution line set to connect Boca Chica and Brownsville, Texas. The new lines appear to be sized to provide Starbase with enough power to entirely preclude the need for the construction of any dedicated power plants on site. Only a backup power source of some kind would be necessary. Assuming SpaceX is actually behind the development, it’s difficult to believe that the company hasn’t communicated that change of plans to the FAA and other Starbase PEA stakeholders.
As another example, the Fish and Wildlife Services’ own list of complaints includes the bizarre request that SpaceX increase its estimate for the number of failures that will occur during future Starship testing fivefold from 10% (already an extremely pessimistic figure) to 50% because “[nine] of 16 tests or hops that have occurred [at Starbase]…resulted in some type of anomaly with fire or debris.” While true that many of SpaceX’s developmental Starship tests have resulted in major failures or explosions, the FWS appears to fundamentally misunderstand the purpose of those failures and SpaceX’s approach to development, which is to learn from failures and prevent their reoccurrence. Something would have to go terribly wrong for half of all future Starship ground and flight tests to result in failure when SpaceX’s goal is to develop Starship into a reliable launch vehicle – not to futilely test prototypes forever.
Ultimately, it remains to be seen if SpaceX and the FAA will be able to secure the DOI, FWS, and NPS approvals required to finish the Starbase PEA. If the parties can’t come to some kind of agreement, SpaceX may be forced to effectively restart the environmental review process from scratch and pursue a more thorough Environmental Impact Statement (EIS). Completing an EIS could easily take years, potentially forcing SpaceX to give up on South Texas as a site for regular orbital Starship launches.
While CEO Elon Musk recently implied that SpaceX would never abandon Starbase and might use the site as a sort of dedicated research and development facility, it’s difficult to believe that the cost of operating and maintaining an entire Starship factory and orbital launch site would make sense from a programmatic or financial perspective given that SpaceX appears likely to build a Florida Starbase for East Coast Starship launches. SpaceX already has full environmental approval to launch 24 Starships per year from its Kennedy Space Center Pad 39A facilities.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
