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SpaceX’s next Starship prototype is already closing in on its first tests
Continuing a trend of massive steel rockets built in a matter of days and weeks instead of months, SpaceX’s next Starship prototype is already closing in on its first tests.
SpaceX’s newest vehicle is set to pick up where the third full-scale Starship prototype – coincidentally known as SN3 – left off after operator error lead to its premature destruction on April 3rd. Now a pile of scrap metal, that ship only made it partway through cryogenic proof testing when its upper tank – almost fully filled with chemically-neutral liquid nitrogen – toppled over and pulled the rest of the prototype with it. With (hopefully) improved test procedures, Starship SN4 is now set to carry that torch forward.
Following the late Starship SN1 and SN3 prototypes, SN4 is on track to be the third full-scale, functional Starship prototype built in a handful of weeks thanks to major factory upgrades SpaceX has completed in recent months. While the loss of any particular prototype is undoubtedly a setback each time it happens, such a high rate and (apparently) low cost of production means that no single failure should be a major disruption, allowing SpaceX to iterate incredibly quickly as it learns from a flurry of real-world tests.
Like SN3, SpaceX’s next prototype will soon be fully stacked and transported down the road from the factory to a nearby launch and test facility, both situated directly on the South Texas Gulf Coast. Based on SN1 and SN3, SN4 could be just a week or so away from that transport milestone. SN3, for example, reached Starship SN4’s current state of assembly around March 20th. Eight days later, the vehicle was moved to the launch pad for its first tests.
On April 12th, SpaceX technicians flipped Starship SN4’s aft-most section, doubling as a bottom dome of its liquid oxygen tank and a mounting point for three Raptor engines. Starship SN3 passed the same point around March 18th, just ten days before it was moved to the launch pad. Per SN3’s assembly schedule, it should be just 2-3 days before SpaceX wraps up Starship SN4’s engine section by adding another two rings, followed by the engine section’s integration with the rest of the rocket approximately 5-7 days from now.
Based on Starship SN3’s behavior before a badly-designed test triggered the series of events that destroyed it, the ship appeared to be performing extremely well with its upper (methane) tank almost completely full of super-cool liquid nitrogen. If Starship SN4 does a similarly good job and makes it through the rest of the test that SN3 was unable to, SpaceX has three Raptors already tested and ready to go for their first triple-engine static fire ever.
At this point, those engines are simply waiting in a nearby hangar for a Starship prototype to be declared flight (or at least static fire) worthy. Even more excitingly, should both the engines and the Starship in question perform flawlessly during those tests, the first flights are expected to follow very soon after. Whether it’s able to summit that particular hurdle, Starship SN4’s current rate of production suggests that the ship will be ready to kick off testing later this month, perhaps less than three weeks after its predecessor kicked the bucket. Stay tuned!
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
