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SpaceX wants to unleash Starhopper but longer Raptor test fires come first
According to SpaceX CEO Elon Musk, the next round of Starhopper activity will focus on removing the spacecraft prototype’s tethers and performing far more substantial hop tests.
Longer tests demand that SpaceX begins expanding the known performance envelope of its full-scale Raptor engine. Towards that end, longer-duration tests would need to be done at the company’s McGregor, TX development facilities to reduce risk, tests that Musk confirmed are already well underway. A recent Raptor static fire reportedly lasted no less than 40 seconds, more than enough time for a single-engine Starhopper to significantly expand both the maximum altitude and velocity of future hop tests. In support of the upcoming Starhopper test campaign, significant construction work is also ongoing at SpaceX’s Boca Chica test and development facilities.
Unleashing the Hopper
During the months of March and April, SpaceX’s South Texas team effectively completed Starhopper and put the prototype through its first real tests. The process began with tank proof tests in which Starhopper’s tanks were filled with liquid nitrogen – relatively neutral and unreactive – to safely identify and repair any leaks, while also subjecting the vehicle to cryogenic temperatures. The proof testing also put the newly installed ground systems (GSE) and vehicle-pad connection hardware through their paces before moving to Starhopper’s nominal liquid oxygen and liquid methane propellant.
Following at least half a dozen or so wet dress rehearsals (WDRs) that saw Starhopper loaded with LOx and methane, SpaceX technicians analyzed the health of the prototype and soon began live tests with a Raptor engine installed. Designed to produce no less than 2000 kN (450,000 lbf, 205 mT) of thrust at full throttle, Raptor offers more than twice the max thrust of the latest variant of the Merlin 1D engine that powers Falcon 9 and Heavy (941 kN or 212,000 lbf). In other words, a single Raptor should be more than enough to lift Starhopper off the ground 150+ tons of propellant aboard.
After several unsuccessful test attempts, Starhopper completed two static fires (<10s combined) and hopped – tethered – a handful of feet off the ground on April 3rd and 5th, three weeks after Raptor was first installed. Days later, the lone Raptor engine was removed from Starhopper and shipped back to SpaceX’s Hawthorne, CA factory or McGregor, TX testing facilities for post-test analysis and inspection. In short, SpaceX used Starhopper as a sort of ad hoc test stand for the second serial Raptor (SN02) produced, completing two major acceptance tests simultaneously.
A handful of concise tweets published by Musk in the last few days of April implicitly confirmed that the next steps for Starhopper involved untethered flights off its South Texas pad, once again powered by a single Raptor engine. As both the prospective altitudes and flight times rise for future Starhopper tests, so do the risks posed to SpaceX’s adjacent facilities and the prototype itself. To minimize those risks and progress the Raptor program as a whole, SpaceX has been extensively testing the third serial Raptor (SN03) at its McGregor facilities. Instead of a rushed test regime similar to the one that almost completely destroyed Raptor SN01 less than two weeks after testing began, SN03 is participating in a more cautious and systematic series of tests.
Confirmed by Elon Musk, this included significantly increasing the length of Raptor SN03’s latest static fires, culminating in an April 27th test that lasted ~40 seconds. Above all else, long test fires are necessary to demonstrate that Raptor can reliably operate for dozens of seconds at a time, given that any failure leading to a loss of thrust could cause Starhopper – basically a controlled explosive device – to fall out of the sky. The famous Musk/SpaceX ethos of moving fast and breaking things does not preclude a pragmatic attitude towards the destruction of facilities and prototypes that could take months and millions of dollars to rebuild.
The ETA of future hop tests is unclear. For the time being, it appears that SpaceX’s South Texas facilities will be caught up in construction work for at least another week. Whether or not Raptor SN03 is next in line for installation on Starhopper, SpaceX will likely put it through several more long-duration static fires before moving ahead with untethered hop tests. All things considered, the rough Starship prototype is unlikely to restart powered testing for another two or so weeks. Stay tuned!
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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
