News
SpaceX transports fifth Starship prototype to the launch pad
SpaceX has at long last transported its fifth full-scale Starship prototype to a nearby launch pad, kicking off a week of busy pre-test preparations while the sixth rocket is already nipping at its heels.
Starship SN5’s move to the pad ends the longest gap between full-scale prototype testing since Starship Mk1 was destroyed in November 2019, a partially-expected failure that began a more than three-month period of infrastructure upgrades. The first upgraded Starship (SN1) rolled to the pad on February 25th, followed by SN3 on March 29th and SN4 on April 23rd, indicative of a fairly consistent monthly cadence of Starship production (and destruction).
Almost exactly two months after its predecessor headed from the factory to SpaceX’s Boca Chica, Texas launch facilities, Starship SN5 has taken its place on a brand new launch mount. The cause of that month-long delay is fairly simple. When Starship SN4 exploded on May 29th, it damaged the existing launch mount and some additional ground support equipment (GSE), forcing SpaceX to scrap the destroyed mount and build a new one from scratch. In a matter of weeks, SpaceX’s crack team of pad engineers and technicians have done exactly that.
While, judging from several sets of canceled road closure days, the new mount wasn’t built quite as quickly as someone high up in SpaceX would have hoped, the speed of the recovery from SN4’s destructive demise is still extremely impressive. For full-scale operations, SpaceX needs a strong metal structure capable of providing a Starship prototype the propellant, power, and communications links it needs to perform tests, as well as standing up to the weight of a full-loaded Starship (>1000 metric tons) and preventing the rocket from flying away during static Raptor engine tests. Additionally, the launch mount will eventually need to survive the fury of one and even three Raptor engines once Starships graduated to flight testing.
As of June 3rd, the replacement launch mount was partially-completed steel skeleton.
Barely two weeks later, SpaceX had flipped that skeleton, installed it on the actual launch mount table, finished all structural work, installed a conical frame to enable hydraulic ram testing to simulate Raptor engine thrust, and outfitted the mount with a wide variety of complex plumbing, wiring, and fixtures. The current design is about as simple as it can get but is still relatively complicated, with a wide range of systems that must work perfectly together throughout an equally wide range of temperatures and other stressful conditions.
Starship SN5’s installation on that replacement mount serves as a final confirmation that the new structure is more or less complete. Now SpaceX will be faced with the different challenges of christening the new launch mount and ensuring that it’s functioning as planned at the same time as Starship SN5 is attempting to do the same thing. The company also appears to have taken the previous launch mount’s demise as an opportunity to implement some minor design changes, all of which will also need to be tested and verified.
Delays are quite likely but Starship SN5 is currently scheduled to kick off its first test campaign as early as June 29th. SpaceX will likely begin with an ambient pressure test to check for leaks, followed by a cryogenic proof test with liquid nitrogen to confirm that SN5 performs as expected while subjected to the ultra-cold temperatures its liquid methane and oxygen propellant will be kept at. SN5 would then move into wet dress rehearsals (WDR) with live propellant and one or several static fires with a single Raptor engine. Finally, if that complex series of tests goes a little bit better than it did with SN4, Starship SN5 will become the first full-scale prototype to attempt controlled flight, hopping to at least 150m (~500 ft).
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
