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SpaceX to replicate Starbase, build multiple Starship launch pads in Florida
Less than two weeks after CEO Elon Musk revealed that SpaceX has restarted construction of a Starship launch site at Kennedy Space Center’s existing LC-39A pad, NASA has revealed the company’s plans for an entirely different Starship launch site just a few miles to the north.
Known as Launch Complex 49 (LC-49) and located where NASA once considered building LC-39C, a third Saturn-class pad to match 39A and 39B, NASA now says that SpaceX aims to develop the site into a dedicated Starship launch pad. The plot of land NASA deemed LC-49 as recently as 2017 sits about 1 mile (1.6 km) northwest of NASA’s LC-39B Space Launch System (SLS) pad and 3 miles (5 km) northwest of LC-39A, which SpaceX has leased since 2014 and launched out of since 2017. Unlike 39A, though, SpaceX has a huge amount of work – and major environmental reviews – ahead of it to turn LC-49 into a site capable of launching a rocket more than twice as powerful as Saturn V.
As of today, “LC-49” amounts to a mostly arbitrary dotted line on a map. Situated a few thousand feet south of the lovingly named Mosquito Lagoon Aquatic Preserve and Canaveral Seashore National Park, the site encompasses a variety of wild wetlands and is fully undeveloped. While substantially wetter, the land SpaceX hopes to develop is actually quite similar to the site that now hosts Starbase’s Starship launch facilities in Boca Chica, Texas. Prior to SpaceX’s arrival, the area was empty coastal mudflats.
To turn such a fragile and unstable area into an orbital launch site, SpaceX trucked in thousands of tons of soil, which then sat in a pile for three years ‘surcharging’ or compressing the ground beneath it. Ironically, while SpaceX did build a relatively small suborbital launch site where it surcharged, the company has built the site’s first orbital Starship launch pad a bit to the east, where no such preparations were made. That bodes well for the speed with which SpaceX could potentially build LC-49 from nothing, though it will likely be significantly more of a challenge.
Because NASA’s proposed LC-49 site is effectively swamp and marshland, SpaceX will have to create the ground any planned Starship launch site will stand on. It’s possible that soil surcharging will be required – and potentially on an even larger scale than what SpaceX did in Boca Chica. However, given that SpaceX ultimately didn’t even use that surcharged land to construct the orbital half of the pad, it’s possible that SpaceX will again be able to make do with less time-consuming construction methods. If SpaceX does more or less replicate an orbital launch site similar to Starbase’s, the pad could be ready to launch just 12-18 months later. NASA and SpaceX will have to complete environmental reviews along the way but given planning work that NASA’s already done over the decades, it’s possible that SpaceX will be able to start building LC-49 well before that process – which could take one or several years – is complete.
No less intriguing is NASA’s implication that SpaceX is simultaneously preparing to expand a facility it leases elsewhere at Kennedy Space Center. Currently used to process and store Falcon boosters, fairings, and upper stages, SpaceX has been clearing a lot beside that hangar that’s about the same size as the entirety of Starbase’s South Texas Starship factory. The obvious implication: SpaceX intends to both build and launch Starships out of multiple Florida launch pads.
Just a few miles south, CEO Elon Musk says that SpaceX has restarted work on a separate Starship launch pad situated on Pad 39A grounds after halting construction last year to focus on South Texas. SpaceX chose to entirely scrap the unfinished launch mount it had built, clearing the site for the construction of a new and improved version of Starbase’s orbital launch site. Altogether, SpaceX is now simultaneously constructing two orbital Starship launch pads (one at Starbase and one at 39A) and planning for the construction of two or three more (a second at Starbase and at least one or two at LC-49).
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
