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SpaceX’s Starhopper cleared by FAA for second and final flight test as locals urged to exit homes

After a full two weeks of FAA permitting delays, SpaceX's Starhopper is set for its second and last test flight. (SpaceX)

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After a full two weeks spent waiting for an FAA permit, SpaceX CEO Elon Musk and local South Texas authorities appear to be preparing Starhopper for a second major flight test as early as Monday, August 26th.

Assuming the FAA comes through with a permit, Starhopper is scheduled to lift off no earlier than 5pm EDT (21:00 UTC) on August 26th for a flight test expected to smash the low-fidelity Starship prototype’s previously altitude record of ~20m (65 ft). Confirming initial reports from NASASpaceflight.com, Musk also stated that Starhopper’s second flight will be its last, after which the steel rocket test-bed will be converted for stationary use at SpaceX’s South Texas facilities.

Prior to Musk tweeting that Starhopper may be nearing approval for its next flight, the SpaceX CEO revealed that delays were centered around the FAA’s apparent unwillingness to permit the vehicle’s next flight. Musk specifically stated that the FAA wanted more “hazard analysis”, meaning that the US aviation administration had concerns that Starhopper could pose a serious threat to local residents in a tiny housing development known as Boca Chica Village.

Technically speaking, Boca Chica Village is just 1.5 miles (2.4 km) away from SpaceX’s Starhopper launch facilities, where the vehicle is expected to reach a maximum altitude of no more than 200m (650 ft) as early as August 26th. FAA regulations tend to be prescriptive and extremely rigid, understandable given the breadth of US aviation-related activities the agency is tasked with regulating. However, a basic back-of-the-envelope analysis of Starhopper’s 200m hop suggests that the risk to local residents – even those as few as 1.5 miles away from the test – is minuscule.

Based on Starhopper’s inaugural flight, its lone Raptor engine – producing up to 200 tons (450,000 lbf) of thrust – is not exactly capable of rapidly moving the Starship prototype. For all accounts and purposes, Starhopper is a spectacularly heavy hunk of steel with the aerodynamics of a cylindrical brick – capable of flight solely through the brute-force application of a literal rocket engine. To make it even half of the distance from its launch site to the Village, Starhopper would have to remain in controlled flight while radically deviating from its planned trajectory, all while its flight termination system (FTS) – explosives meant to destroy the vehicle in a worst-case scenario – completely fails to activate.

Starhopper stands at SpaceX’s Boca Chica test facilities on August 1st, 2019. (NASASpaceflight – bocachicagal)

As evidence of the apparent lack of perceived risk to local residents, Cameron County, Texas officials distributed flyers to Village residents advising – but not requiring – those choosing to remain at their homes during the test to go outside during Starhopper’s next flight. This is recommended to avoid flying glass in the event that the vehicle explodes, potentially shattering windows with the shockwave that could result, but clearly demonstrates the fact that county officials believe there is a near-zero chance of Starhopper actually impacting anywhere near the houses.

Ultimately, Starhopper’s limited flight tests clearly pose little to no actual risk to residents, but this chapter does raise a far more significant question: what happens once Starship Mk1 is ready and the flight tests SpaceX is pursuing involve distances and heights on the order of several, tens, or hundreds of kilometers? For now, answers will have to wait til a later date.

A Hop and a skip into retirement

Aside from the delays and apparent lack of consensus on the safety of Starhopper’s minor hop tests, Musk confirmed that the prototype’s second test flight ever will likely be its last, providing some interesting insight into SpaceX’s next steps. Most notably, the fact that SpaceX is willing and ready to fully retire Starhopper after such a limited test series serves as a fairly confident statement that orbital-class Starship Mk1 (Texas) and Mk2 (Florida) prototypes are extremely close to flight-readiness.

https://www.instagram.com/p/B1gawpLH2XE/

Roughly a month ago, Musk tweeted that those Starship prototypes could be ready for their first flights as early as mid-September to mid-October, “2 to 3 months” from mid-July. In additional comments made on August 20th, Musk stated that his planned Starship presentation would be delayed in light of Starhopper’s own delays, and is now instead expected to occur around a major Starship Mk1 integration milestone in “mid September”.

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As previously discussed on Teslarati, Starhopper’s brief service life is entirely unsurprising, delayed by issues with Raptor engines to the point that SpaceX’s far more valuable Starship prototypes – having made relentless progress – are already nearing completion. Once those Starships are ready for almost any kind of integrated testing, Starhopper will be made entirely and immediately redundant.

“According to Musk, either or both of those orbital-class prototypes could be ready for their inaugural flight tests as early as mid-September, perhaps just 1-2 months from now. Given that Starships Mk1 and Mk2 are significantly higher fidelity than Starhopper, the ungainly testbed will likely become redundant the moment that its successors are ready for flight. In other words, Starhopper is fast approaching the end of its useful life, and SpaceX’s fight for a 200m hop-test permit could ultimately be a waste of time, effort, and money if said permit doesn’t also cover Starship Mk1.”

Teslarati.com, August 20th, 2019

On another positive note, CEO Elon Musk says that Starhopper won’t be ‘retired’ to the scrapyard and will instead be lightly modified to serve as an in-situ test stand for Raptor engines, a useful addition once SpaceX South Texas moves on to multi-engine Starship and Super Heavy testing.

With any luck, SpaceX will attempt to livestream Starhopper’s second attempted flight. Stay tuned for updates on the 5pm EDT, August 26th test.

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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 AI Head says future FSD feature has already partially shipped

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Credit: Tesla

Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.

Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.

Back in October on the Q3 Earnings Call, Musk said:

“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”

Musk said in the same month:

“By v14.3, your car will feel like it is sentient.”

Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.

On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.

He added that “more and more reasoning will ship in Q1.”

Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.

Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad

As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).

Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.

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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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