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Starhopper update: SpaceX’s ungainly Starship testbed survives night of fireballs, Raptor testing
SpaceX’s Starhopper appears to have come out the other end of an eventful night of fires, fireballs, and Raptor testing completely unscathed, although – as with all things rocketry – there is vastly more than meets the eye.
However, signs point towards Starhopper being almost entirely unharmed by its brief voyage inside a fireball – even if Boca Chica’s fire suppression system got a thorough workout and many a SpaceX onlooker likely suffered a partial heart attack. For the time being, it’s safe to assume that Starhopper’s planned flight activities have been indefinitely delayed as SpaceX technicians analyze the vehicle and engineers work to mitigate or completely prevent major fires from recurring.
According to NASASpaceflight.com’s well-informed sources, despite the spectacular fireworks that followed Raptor’s own impressive display, the engine’s static fire test was a full success – at least in terms of data produced by the engine. The large fireball was attributed to the ignition of a large methane vent that followed soon after Raptor’s shutdown.
For now, this means that Starhopper’s untethered flight test and hover test debut should not be expected to occur for several days, even in the event that the rocket, pad, and Raptor engine all made it through their July 16th ordeal completely undamaged. If there is zero damage, this accident will serve as an unfortunate but useful demonstration of a true stainless steel rocket’s theoretically exceptional sturdiness and heat resistance.
Despite suffering what looked like a serious fireball-related anomaly, #Starhopper appears to have been refueled and is visibly venting while the flare stack burns off excess methane. Very good sign that the issue looked worse than it is. Via @labpadrehttps://t.co/sOHShoRByb pic.twitter.com/cs6FSMcZ0T— TESLARATI (@Teslarati) July 17, 2019
It may seem more than a little ironic, but it’s likely less than a coincidence. If it comes to fruition as a truly functional, orbit-capable steel rocket, spaceship, and upper stage, Starship/Super Heavy will exist in their shiny, steel forms almost entirely because of the unintuitive tradeoffs that could theoretically make heat-resistant-but-dense steel more efficient than a ship built out of ultra-light carbon composites. If Starhopper’s newly demonstrated resilience is anything to go by, a very happy side-effect of that efficient, heat-resistant steel could be an almost unprecedented resilience in the face of serious fires, fireballs, and other fire-related anomalies.
For almost any other rocket, exposure – at least outside of the engine section – to large fireballs and quite literally having parts burning while motionless on the ground are deeply, deeply worrisome things and risk a major vehicle malfunction – potentially up to and including a catastrophic failure (i.e. explosion). ULA’s Delta IV rocket family is famous for self-immolating during ignition and liftoff, a minimal concern to the rockets’ thin, aluminum tankage thanks to several inches of thick, fire-retardant foam insulation.
For a rocket like Falcon 9, almost entirely (by surface area) composed of thin, aluminum propellant tanks and carbon composite structures, there is a constant struggle to balance the vehicle’s extreme performance with the low melting point of its primary structures (~720 degrees C). The 301-series stainless steel Starhopper and Starship(s) are built out of has a melting point of ~1400 degrees C, nearly double aluminum-lithium alloys.
In short, while it boggles the mind and is decidedly unintuitive to anyone who watched July 16th’s live coverage of the static fire, it’s actually not a huge surprise that Starhopper has suffered serious fire-related anomalies with essentially zero visible damage. In fact, it’s almost impossible to tell that anything at all happened, let alone discerning some subtle sign(s) of damage incurred by fires. It may sound ironic to say so, but rockets and fire just do not tend to like each other much at all.
Time will tell if Starhopper and Raptor are in as good a condition as they appear to be.
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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
