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SpaceX is building Starship’s East Coast launch site at a breakneck pace
After breaking ground on September 21st, SpaceX and construction contractors are working at a breakneck pace to complete the modifications necessary for the existing Launch Complex 39A pad to support East Coast Starship and Super Heavy launches.
SpaceX is simultaneously preparing two launch sites and two orbital-class Starship prototypes – Mk1 (Boca Chica, Texas) and Mk2 (Cocoa, Florida) – for their inaugural flight tests. Both pads and flight hardware appear to feature unique design choices and clearly have different strategic value, but one thing remains entirely consistent: SpaceX is not wasting time at either site.
Less than five days after SpaceX received its final construction permit and broke ground at Pad 39A, the company and its contractors have made quick work of clear the ground. Major earthmoving is well underway, concrete deliveries have already begun, and piles are being driven in a bid to quickly secure the proposed Starship launch mount’s foundation.
Per descriptions and drawings included in environmental assessments and water management documents published in August and September, SpaceX – already leasing and operating out of Pad 39A – intends to modify the NASA-owned Kennedy Space Center (KSC) facilities. Once complete, Pad 39A will be able to simultaneously support both Falcon 9/Heavy and Starship/Super Heavy launches. Per communications archived as part of St. Johns River Water Management District (SJR) permitting, SpaceX also needed NASA approval to attain the stormwater management permits needed to begin its Pad 39A modifications.
The fact that SpaceX has already broken ground guarantees that NASA and KSC have already given SpaceX full permission to do so, meaning that the path to complete Pad 39A’s Starship launch accommodations is nearly wide open. The only thing SpaceX still needs – assuming the company hasn’t already received approval – is one last major permit in the form of a positive National Environmental Policy Act (NEPA) environmental assessment (EA), the final draft of which was published on August 7th. SpaceX can technically continue construction but it will need to secure NEPA approval before it can begin any sort of Starship operations at the new facilities.
Meanwhile, although it’s pretty clear that a large portion of SpaceX’s Cocoa, FL Starship crew has been diverted to help with Mk1 in Texas, a skeleton crew continues to do what they can to prepare Starship Mk2 for its next major assembly milestones. Most notably, the prototype’s upper (top) tank dome was rolled out of the facility’s assembly building, a strong indicator that it’s nearly ready for installation atop Starship Mk2’s tank section. This will ‘cap off’ Starship Mk2, a milestone its sister ship reached on September 14th. As such, Mk2 is likely two or so weeks behind Mk1 after suffering delays at the hand of Hurricane Dorian and after CEO Elon Musk likely decided to prioritize Starship Mk1’s pre-presentation preparations.
Most importantly, a few local observers have noted and continued to document the process SpaceX will have to undertake to transport Starship Mk2 from Cocoa to Cape Canaveral – specifically Pad 39A. Several people realized that a nearby railroad bridge’s imminent construction could shortly block the path SpaceX was hoping to use to get Starship to the Indian River, where a barge could carry it the rest of the way to KSC. SpaceX likely has backup routes as options, but they would very likely require far more time and effort.
Time will tell if SpaceX can prepare Starship Mk2 in time to take its original transport route. By all appearances, if the prototype’s transport ends up being delayed, Pad 39A’s newly minted Starship launch facilities will likely be ready and waiting once the rocket arrives.
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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
