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SpaceX CEO Elon Musk says Starhopper’s first hover test is scheduled early next week
SpaceX CEO Elon Musk announced via Twitter that Starhopper’s first untethered hover tests – flying as high as ~20 meters (65 ft) – could be attempted as early as Tuesday, July 16th.
SpaceX engineers and technicians have been working around the clock the last several months to prepare Starhopper for flight and – even more importantly – prepare the company’s next-gen Raptor engine to ensure it is reliable enough to risk losing the Hopper in flight. Neither task is a small challenge, with both pushing SpaceX’s workforce into new and (partially) unfamiliar territory, ranging from Starhopper’s use of steel propellant tanks to Raptor’s adoption of liquid methane and oxygen instead of the kerosene/oxygen or hydrazine SpaceX’s workforce is familiar with
Back in April 2019, SpaceX – having installed Raptor SN02 roughly two weeks prior – static fired Starhopper for the first time ever, simultaneously lifting the massive craft a few inches off the ground as it strained against its tethers. Three and a half months later, SpaceX engineers appear to have finally solved a mechanical resonance (vibration) issue that plagued all Raptors that came before SN06, forcing aborts, limiting test length, and even destroying or damaging engines beyond repair.
As previously discussed on Teslarati, Starhopper’s first true flight tests have been a long time coming. 9m (30 ft) in diameter and perhaps 25m (80 ft) tall, Starhopper is an extremely unusual and visually bizarre test article, effectively acting like a (vaguely) mobile Raptor test stand and a full-fidelity way for SpaceX’s aluminum-focused welding and fabrication crews to gain experience building a moderately functional stainless steel rocket.
Last month, there was some hope that Raptor SN05 would be capable of supporting Starhopper’s first hover tests as early as mid-to-late June, but it’s understood that the vibrational issue described above by Musk damaged the engine during one of its final acceptance tests, delaying Starhopper testing by several weeks. Had that resonance issue been solved months ago, it’s probable that Raptor SN02 could have taken Starhopper directly from its first static fires to untethered flight operations in April.
According to CEO Elon Musk, SpaceX’s Raptor manufacturing team is rapidly moving from a development-focused line to something more like mass-production. Once the design has been more thoroughly pinned down, the production ramp could max out with up to two Raptor engines completed daily, averaging out to an annual production rate of an incredible ~500 engines.
Additionally, Musk tacitly acknowledged that SpaceX’s recent development Raptors likely cost around $2M apiece, but the final mass-production cost could drop as low as $200,000 per engine, almost unfathomable for such a high-performance, cutting-edge engine.
For the time being, SpaceX will be focused on wringing out any subtler design flaws and general bugs in Raptor as the engines are gradually produced and tested at increasing volumes. This includes hop/hover tests like those Starhopper is scheduled to attempt next Tuesday, as well as even wilder ~20-km suborbital flight tests that could come once one or both of SpaceX’s “orbital” Starship prototypes are fully integrated.
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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
