News
SpaceX’s Starship/Super Heavy rocket needs a launch pad and work is already starting
According to SpaceX job posts published early this month, the company has already begun the process of looking for the engineer or engineers that will be responsible for preparing both Starship/Super Heavy and its prospective pad facilities for the rocket’s inaugural launches.
Per one of those posts, Starship/Super Heavy’s “initial launch capability” will be achieved at Kennedy Space Center’s historic Launch Complex 39A (also known as Pad 39A), a facility SpaceX has leased since 2014 and launched from since 2017. Originally constructed in the 1960s to support Saturn V, the largest operational US rocket ever built, Pad 39A spent another three decades supporting dozens of Shuttle launches until the latter was also retired, after which SpaceX took over the historic facility. Although SpaceX has specifically discussed plans to ultimately turn its South Texas outpost into a full-fledged orbital launch site, that will be an extremely slow and expensive endeavor and Pad 39A makes sense for several reasons.
Building rocket launch facilities is hard
Even though SpaceX has still tended to aggressively outperform its competitors and peers, the process of building a new launch complex from scratch is extremely challenging. For example, after SpaceX suffered a catastrophic failure of Falcon 9 at Pad 40 (LC-40) in September 2016, the company had to conduct extensive refurbishment and even tacked on some pre-planned upgrades. Still, a large portion of the pad remained intact, including the flame trench (with minor damage), hangar facilities, and more.
Ultimately, it took SpaceX more than 10 months and $50M to repair, rebuild, and upgrade LC-40. The biggest single ticket item was likely the new transporter/erector and its associated launch mount and water deluge system, followed by new plumbing and communications infrastructure throughout the pad. By far the most time-consuming and expensive process, however, is laying a foundation for the launch pad itself, most of which SpaceX was able to skip at Pad 40 after some relatively minor repairs and modifications.
Although Blue Origin is as tightlipped as space startups come, owner Jeff Bezos has indicated that the companies large-scale LC-36 pad – built from a clean slate – was part of an overall investment of “more than $1 billion”. That is split between LC-36, a new factory, and a more general-use campus in and around Cape Canaveral, Florida. Building a factory is even more expensive than launch facilities, so the overall cost of building LC-36 from scratch is likely somewhere between $150M and $300M, although it could be even more expensive.
LC-36 is being built for New Glenn, a rocket that will produce roughly 75% as much thrust as Falcon Heavy and ~25% as much thrust as Starship’s Super Heavy booster at liftoff. This is all to make a simple point: if SpaceX means to do so, building a new Super Heavy-class launch pad at Boca Chica is going to take a bare minimum of a year and $100M+ (assuming Blue Origin has been somewhat inefficient, as usual). SpaceX’s current setup is unambiguously dedicated to far lower-thrust Starhopper (and maybe Starship) test flights, whereas an orbital launch complex capable of surviving Super Heavy liftoffs would be at least 5X larger and involve extensive foundation-laying and far more concrete.
All things considered, it’s thrilling that SpaceX is already in the process of designing and – soon – constructing the launch complex (or add-on hardware) that will support the first suborbital and orbital launches of Starship and Super Heavy. Per the aforementioned Launch Engineer job post, it seems all but certain that visible work at Pad 39A could begin at any moment, regardless of whether SpaceX has plans to subtly modify the existing 39A facilities or build something entirely new within its borders.
According to SpaceX VP of Commercial Sales Jonathan Hofeller, “the goal is to get orbital as quickly as possible, potentially even this year, with the full stack operational by the end of next year and then customers in early 2021.” In short, Starship and Super Heavy-compatible launch facilities are going to be needed at 39A (and, eventually, Boca Chica) far sooner than later. Even if it’s likely that the vehicle development will suffer delays that could push Starship’s orbital launch debut into 2021 or beyond, launch pad design and construction is challenging and slow but still fairly predictable. and it is certainly better to be early than to be late. In short, the next 12 months are going to be wild.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
