News
SpaceX planning docs reveal Starship's April Fools' Day testing plans
Planning emails published by Cameron County, Texas officials have revealed a more detailed picture of SpaceX’s April Fools’ Day Starship testing plans.
Published soon after SpaceX CEO Elon Musk confirmed that six landing legs have already been installed on Starship SN3, county documents noted that SpaceX has two Starship tests planned on April 1st. The second test is contingent upon the successful completion of the first, which is scheduled to begin as early as 4pm CDT (21:00 UTC).
SpaceX has built up Starship SN3 – the third full-scale prototype to make it to testing – from a handful a separate steel rings into a ~30m (100 ft) tall, 9m (30 ft) wide rocket. Technically, the hardware SpaceX transported from its Boca Chica, Texas factory to an adjacent launch pad on March 29th is just the bottom ~60% of Starship SN3, but it’s undoubtedly the most important part of the ship. The SN3 tank and engine section now installed on a launch mount represents the business half (give or take) of Starship, itself just the upper stage and spacecraft of SpaceX’s next-generation, fully-reusable rocket.
Previous full-scale Starship testing – attempted with the Mk1 and SN1 prototypes on November 2019 and February 2020, respectively – have not gone according to plan. However, for each recent Starship testing failure, SpaceX has subsequently completed one or several ‘proof’ tests with smaller tanks, proving that improved construction methods are technically up to the tasks required of them. Most notably, SpaceX completed two Starship tank pressure tests in January 2020, consecutively reaching ~7.5 and ~8.5 bar (110 and 125 psi) – the latter representing a full 40% safety margin on top of the 6 bar minimum Starship needs for orbital flight.
Most recently, SpaceX completed its third Starship test tank campaign in mid-March, proving less than two weeks later that the design fault that destroyed Starship SN1 had already been rectified. Now, Starship SN3 sits at the same test site, representing the hopeful culmination of the many lessons SpaceX has learned from its prolific testing over the last five months.
Now, Starship SN3’s first series of ground tests are scheduled to begin as early as 4pm CDT, just half an hour or so from the time this article was published. According to documents shared by Cameron County, SpaceX’s plan is to begin with a room-temperature gas test, likely pressurizing Starship SN3 with nitrogen to check for leaks. By testing with gas (instead of water), completing the initial test would leave Starship free to immediately proceed to a more ambitious test. This is precisely SpaceX’s plan: if Starship passes the nitrogen gas test, Starship SN3 could begin a cryogenic liquid nitrogen proof test just three hours later, kicking off no earlier than 8pm CDT (01:00 UTC, April 2).
Featuring a brand new 4K camera, local resident and SpaceX fan LabPadre’s live stream should offer some exceptional, uninterrupted views if or when SpaceX kicks off Starship SN3’s first tests later today.
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
