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Elon Musk gifts SpaceX Starship angel investor a piece of Starhopper history

To thank him for his generous support, SpaceX CEO Elon Musk has gifted investor Yusaku Maezawa a piece of Starhopper, pictured on the left. (NASASpaceflight - bocachicagal)

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According to photos posted by the Japanese investor, SpaceX CEO Elon Musk has gifted Yusaku Maezawa a significant piece of Starhopper history, a celebration of the rocket prototype’s successful flight tests and a gesture of thanks for Maezawa’s substantial support.

Back in September 2018, Musk revealed that Japanese billionaire Yusaku Maezawa had become the first true customer for SpaceX’s next-generation Starship launch vehicle. In fact, Maezawa announced DearMoon, a private spaceflight venture with the aim of sending a dozen or so artists on the first commercial crewed mission around the Moon – all for free.

In a bid to assist Starship development and simultaneously secure rights to the massive spacecraft’s first crewed lunar launch, Maezawa committed what is believed to be several hundred million dollars of his personal fortune to SpaceX. In turn, the Japanese billionaire plans to select roughly a dozen artists from around the world and offering them a free ticket aboard Starship’s first crewed circumlunar launch, traveling once around the Moon and returning to Earth after 10 or so days in space.

Perhaps just a few weeks after the DearMoon announcement and Starship event, SpaceX CEO Elon Musk decided to radically change the Starship program, entirely replacing the vehicle’s main structural material of choice – carbon fiber composites – with stainless steel. The primary goal was to dramatically lower the cost of development and vehicle production and speed things up, but Musk quickly realized that steel could unintuitively be better than carbon fiber in almost every way.

After Musk’s decision, SpaceX pivoted from carbon fiber to steel at a spectacular pace. Barely six months after the design change, a SpaceX team had built up its Boca Chica, Texas facilities from almost nothing, begun to build full-scale steel hardware, and nearly completed the first low-fidelity prototype, known as Starhopper. That vehicle began propellant loading and wet dress rehearsal testing in early-April 2019 and although technical difficulties with its next-generation Raptor engines caused several months of delays, it moved into its first flight test campaign three months later.

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Starhopper’s first untethered flight was completed successfully on July 25th, reaching an apogee of ~18 meters (60 ft). A little over one month later, Starhopper lifted off for the second time on a significantly more ambitious ~150m (500 ft) flight test, completed successfully after about 60 seconds in flight. That second test would be Starhopper’s last and SpaceX quickly turned its focus to completing the first full-scale, full-fidelity Starship prototypes, known as Mk1 (TX) and Mk2 (FL).

Throughout this process, Yusaku Maezawa has followed along with SpaceX. Rather than a simple lump-sum agreement, the billionaire’s contract with SpaceX is structured much more specifically, essentially allowing the company to unlock additional funding after certain milestones – like Starhopper’s flight tests – are completed. The arrangement is more of a carrot on a stick than something dead-serious – Maezawa is probably not going to completely withhold funding if SpaceX slightly misses exact targets or suffers anomalies during a complex launch vehicle development program.

Musk and Maezawa pose in front of Starhopper’s Falcon 9-derived thruster pods. (Yusaku Maezawa)

In order to complete its two flight tests, Starhopper needed some kind of attitude control system (ACS) to remain stable and SpaceX chose a decidedly SpaceX-y solution, simply bolting on flight-proven Falcon 9 thruster pods. Those pods use high-pressure nitrogen to change Falcon 9’s attitude, correctly point the rocket, and settle its propellant while the rocket is in a vacuum (or freefall). They can also provided limited control authority in atmosphere, which is what SpaceX used them for on Starhopper.

Starhopper’s ACS pods work to keep the Starship prototype stable just prior to landing on August 27th. (SpaceX)
As it so happens, Starhopper – now in retirement – is only missing one thruster pod, making it easy to determine which one was gifted to Maezawa. (NASASpaceflight – bocachicagal)

As a gesture of gratitude for Maezawa’s extremely helpful financial support, SpaceX gifted him an entire Starhopper thruster pod. SpaceX often does similar things for major flight milestones, creating commemorative gifts out of retired hardware (rocket tanks, engine bells, grid fins, parachute threads, etc.) that employees are able to purchase. An entire thruster pod is at least a few orders of magnitude above that, a sign of just how grateful SpaceX is to Maezawa.

Of note, in his tweet showing off the thruster pod, Maezawa suggested that “Starship development is going better than expected”, indicating that he may “need to invite a passenger soon” for his planned circumlunar voyage around the Moon. Prior to Starship’s radical shift from carbon fiber to steel, that mission was scheduled no earlier than 2023. In recent months, SpaceX executives have made it clear that they are now targeting Starship Moon landings by 2022, suggesting that the first circumlunar missions – a far easier task than landing – could be possible even sooner than that.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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