News
SpaceX rapidly constructing Starship’s first Florida launch pad and tower
After restarting work on the project a few months ago, SpaceX appears to have gotten back up to speed and begun to make rapid progress on the construction of Starship’s first Florida launch pad and tower.
Located at NASA’s Kennedy Space Center (KSC) Launch Complex 39A facilities, SpaceX has intended to construct a Starship launch site there for several years. A serious attempt was made in late 2019 but SpaceX soon abandoned the effort and redirected its energy towards Starship prototyping and a much different launch pad design. Two years later, SpaceX’s second attempt shares only a little in common with the first. Both are to be located within the eastern half of Pad 39A’s shield-like footprint, although the specific location of the tower and launch mount has been modified. If this attempt comes to fruition, Starship’s first East Coast launch facilities will still sit just a few hundred feet away from the only SpaceX pad capable of launching Crew Dragon, Cargo Dragon, or Falcon Heavy.
Beyond those two characteristics, SpaceX’s second attempt is almost entirely different.
Instead of continuing with an older launch pad design, Starship’s 39A facilities will likely be close to a direct copy of Starbase’s first orbital launch site (OLS), which SpaceX began constructing in earnest in late 2020. It’s safe to assume that some lessons have been learned from Starbase OLS construction and that some modifications will be made to the Florida pad’s design, but no obvious changes are thus far visible.
Most of the visible work SpaceX has done this year centers around the company’s KSC-based Roberts Road facilities, where it has built a major Falcon processing facility and a staging yard for Starship pad construction and broken ground on a massive East Coast Starship factory. At that staging yard, SpaceX began assembling prefabricated sections of Starship’s Pad 39A ‘launch tower’ around March 10th after tower parts began arriving at KSC sometime in February. Within two weeks, SpaceX had completed the basic structure of two tower sections. Another two more weeks after that, around April 11th, a third section had reached a similar level of completion and SpaceX had begun assembling a fourth.

Compared to SpaceX’s Starbase tower assembly, Florida Starship work appears to be proceeding at a similar pace. SpaceX began assembling the fourth Florida tower section about 30 days after starting the first, while Starbase took about 25 days to reach the same point. However, SpaceX does appear to be taking a slightly different approach for Pad 39A. On top of tower section assembly, SpaceX is constructing an extra four sets of the small concrete foundations and steel frames each tower section is assembled on, implying that Starship’s Florida launch tower could be almost entirely prefabricated before SpaceX begins to combine those sections.
That differs from Starbase, where SpaceX rarely constructed more than two or three tower sections at a time before removing and stacking each completed section and beginning to assemble the next on the same foundation and jig. However, while undeniably efficient, SpaceX workers then had to spend months outfitting the tower with plumbing, wiring, additional structure, and more. It’s likely that SpaceX has concluded that it’s better to do as much of that work as possible before the tower is assembled, in which case each Florida section may end up spending more time on the ground. Given the obvious challenges imposed by attempting a major construction project at an active, one-of-a-kind launch pad like LC-39A, it would make even more sense for SpaceX to want to complete as much work as possible before moving Starship pad hardware into the line of fire.


Nonetheless, work will still have to be done at the pad itself. In recent weeks, SpaceX has made significant progress on the foundations 39A’s Starship launch tower and mount require. The bottom half of the concrete base that each steel tower section will eventually sit on has also progressed rapidly. All told, SpaceX is will on its way to replicating Starbase’s orbital Starship launch site on the East Coast, hopefully ensuring that Starship will be able to begin orbital test flights within the next 6-12 months even if the company’s Starbase environmental review continues to be bogged down by bureaucracy.
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.