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SpaceX ships Raptor to Texas for first Starhopper hover tests after fixing vibration bugs

SpaceX technicians work to install Raptor SN06 on Starhopper, the third time a full-scale engine has been attached to the rocket testbed. (NASASpaceflight - bocachicagal, 07/11/19)

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After a brisk week of no fewer than three lengthy static fire tests, SpaceX has effectively confirmed that a critical vibration-related fault was solved, delivering the company’s latest completed Raptor engine to Boca Chica, Texas earlier today.

SpaceX technicians are now in the process of installing the engine – believed to be Raptor SN06 – on Starhopper, a low-fidelity prototype meant to act as a sort of flying testbed for Starship technologies and a mobile test stand for Raptor test fires. According to SpaceX CEO Elon Musk, if Raptor SN06 is installed, successfully checks out, and supports Starhopper’s first untethered hover test within the next 3-7 days, he will deliver an updated presentation on SpaceX’s Starhip/Super Heavy launch vehicle and (hopefully) the company’s plans for the Moon and Mars around the end of July.

This Raptor is the third to be installed on Starhopper. The first engine (SN02) was installed in March 2019 and became the first Raptor to ignite as part of a vehicle meant to eventually fly. During a duo of more or less successful test fires, Starhopper strained against its tethers, lifting a few inches off the ground. Although it did technically mark Starhopper’s inaugural hop, Raptor SN02 also suffered damage during the tests that demanded its removal.

Starhopper’s first static fire test with Raptor SN02 occurred on April 3rd, 2019.

As recently noted by observant fans after Musk revealed that SpaceX had been dealing with a “600 Hz” vibration issue, the horn-like noise during shutdown actually happens to be in the 600 Hz range, with an additional spike at 300 Hz a likely sign of an issue with acoustic and/or mechanical resonance. With SN06, SpaceX engineers and test/production technicians have managed to rapidly implement a fix for that undesirable resonance, powering through several successful static fires with durations as high as 80+ seconds, approaching the propellant storage limits of SpaceX’s McGregor test facilities.

Raptor SN04?

Shortly after its static fire tests in Boca Chica, Raptor SN02 was removed. According to a source familiar with the test process, the engine was brought up to McGregor, TX and repaired before SpaceX technicians – urged by CEO Elon Musk – effectively ran the engine until it failed catastrophically. Some two months after its removal (early June), a new Raptor engine – this time believed to be Raptor SN04, effectively an inert test article – was installed on Starhopper for a handful of days.

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SN04 was exclusively used to check fitment and verify Raptor’s thrust vector control (TVC) gumball capabilities – quite successfully, by all appearances. A few days after installation, it was removed and shipped elsewhere. Subsequently, Raptor SN05 was tested in McGregor with the hopes that it would be able to support the first Starhopper hover tests, but the vibration issue described by Musk caused damage or at least killed confidence that the engine (a single point of failure on Starhopper) was reliable enough to support hover tests.

Raptor SN06 thus entered our story, arriving at McGregor around July 4th. SpaceX’s world-class team of engineers and technicians demonstrated their famous speed and agility, firing up SN06 less than 24 hours after its arrival. This initial test showed nothing out of order and was followed by no less than 3-4 30-80-second static fire tests, all of which were more or less successful. Per Musk, things were looking good as of July 8th, and Raptor’s July 11th arrival at Boca Chica is a foolproof confirmation that the engine is healthy and ready for the Raptor family’s first true flight.

Starhopper stands stoically as technicians install a new Raptor (SN06) on its thrust structure. If all goes as planned, the unorthodox vehicle could begin hover tests as early as next week (July 15th). (NASASpaceflight – bocachicagal)

Stay tuned for coverage of SpaceX’s imminent Starhopper static fire and hover test campaign.

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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 announces crazy new Full Self-Driving milestone

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

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Credit: Tesla

Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.

The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.

On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.

Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.

Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.

This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.

The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.

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Tesla Cybercab production begins: The end of car ownership as we know it?

While this could unlock unprecedented mobility abundance — cheaper rides, reduced congestion, freed-up urban space, and massive environmental gains — it risks massive job displacement in ride-hailing, taxi services, and related sectors, forcing society to confront whether the benefits of AI-driven autonomy will outweigh the human costs.

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Credit: Tesla | X

The first Tesla Cybercab rolled off of production lines at Gigafactory Texas yesterday, and it is more than just a simple manufacturing milestone for the company — it’s the opening salvo in a profound economic transformation.

Priced at under $30,000 with volume production slated for April, the steering-wheel-free, pedal-less Robotaxi-geared vehicle promises to make personal car ownership optional for many, slashing transportation costs to as little as $0.20 per mile through shared fleets and high utilization.

While this could unlock unprecedented mobility abundance — cheaper rides, reduced congestion, freed-up urban space, and massive environmental gains — it risks massive job displacement in ride-hailing, taxi services, and related sectors, forcing society to confront whether the benefits of AI-driven autonomy will outweigh the human costs.

Let’s examine the positives and negatives of what the Cybercab could mean for passenger transportation and vehicle ownership as we know it.

The Promise – A Radical Shift in Transportation Economics

Tesla has geared every portion of the Cybercab to be cheaper and more efficient. Even its design — a compact, two-seater, optimized for fleets and ride-sharing, the development of inductive charging, around 300 miles of range on a small battery, half the parts of the Model 3, and revolutionary “unboxed” manufacturing — is all geared toward rapid production.

Operating at a fraction of what today’s rideshare prices are, the Cybercab enables on-demand autonomy for a variety of people in a variety of situations.

Tesla ups Robotaxi fare price to another comical figure with service area expansion

It could also be the way people escape expensive and risky car ownership. Buying a vehicle requires expensive monthly commitments, including insurance and a payment if financed. It also immediately depreciates.

However, Cybercab could unlock potential profitability for owning a car by adding it to the Robotaxi network, enabling passive income. Cities could have parking lots repurposed into parks or housing, and emissions would drop as shared electric vehicles would outnumber gas cars (in time).

The first step of Tesla’s massive production efforts for the Cybercab could lead to millions of units annually, turning transportation into a utility like electricity — always available, cheap, and safe.

The Dark Side – Job Losses and Industry Upheaval

With Robotaxi and Cybercab, they present the same negatives as broadening AI — there’s a direct threat to the economy.

Uber, Lyft, and traditional taxis will rely on human drivers. Robotaxi will eliminate that labor cost, potentially displacing millions of jobs globally. In the U.S. alone, ride-hailing accounts for billions of miles of travel each year.

There are also potential ripple effects, as suppliers, mechanics, insurance adjusters, and even public transit could see reduced demand as shared autonomy grows. Past automation waves show job creation lags behind destruction, especially for lower-skilled workers.

Gig workers, like those who are seeking flexible income, face the brunt of this. Displaced drivers may struggle to retrain amid broader AI job shifts, as 2025 estimates bring between 50,000 and 300,000 layoffs tied to artificial intelligence.

It could also bring major changes to the overall competitive landscape. While Waymo and Uber have partnered, Tesla’s scale and lower costs could trigger a price war, squeezing incumbents and accelerating consolidation.

Balancing Act – Who Wins and Who Loses

There are two sides to this story, as there are with every other one.

The winners are consumers, Tesla investors, cities, and the environment. Consumers will see lower costs and safer mobility, while potentially alleviating themselves of awkward small talk in ride-sharing applications, a bigger complaint than one might think.

Elon Musk confirms Tesla Cybercab pricing and consumer release date

Tesla investors will be obvious winners, as the launch of self-driving rideshare programs on the company’s behalf will likely swell the company’s valuation and increase its share price.

Cities will have less traffic and parking needs, giving more room for housing or retail needs. Meanwhile, the environment will benefit from fewer tailpipes and more efficient fleets.

A Call for Thoughtful Transition

The Cybercab’s production debut forces us to weigh innovation against equity.

If Tesla delivers on its timeline and autonomy proves reliable, it could herald an era of abundant, affordable mobility that redefines urban life. But without proactive policies — retraining, safety nets, phased deployment — this revolution risks widening inequality and leaving millions behind.

The real question isn’t whether the Cybercab will disrupt — it’s already starting — it’s whether society is prepared for the economic earthquake it unleashes.

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Tesla Model 3 wins Edmunds’ Best EV of 2026 award

The publication rated the Model 3 at an 8.1 out of 10, and with its most recent upgrades and changes, Edmunds says, “This is the best Model 3 yet.”

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Credit: Tesla

The Tesla Model 3 has won Edmunds‘ Top Rated Electric Car of 2026 award, beating out several other highly-rated and exceptional EV offerings from various manufacturers.

This is the second consecutive year the Model 3 beat out other cars like the Model Y, Audi A6 Sportback E-tron, and the BMW i5.

The car, which is Tesla’s second-best-selling vehicle behind the popular Model Y crossover, has been in the company’s lineup for nearly a decade. It offers essentially everything consumers could want from an EV, including range, a quality interior, performance, and Tesla’s Full Self-Driving suite, which is one of the best in the world.

The publication rated the Model 3 at an 8.1 out of 10, and with its most recent upgrades and changes, Edmunds says, “This is the best Model 3 yet.”

In its Top Rated EVs piece on its website, it said about the Model 3:

“The Tesla Model 3 might be the best value electric car you can buy, combining an Edmunds Rating of 8.1 out of 10, a starting price of $43,880, and an Edmunds-tested range of 338 miles. This is the best Model 3 yet. It is impressively well-rounded thanks to improved build quality, ride comfort, and a compelling combination of efficiency, performance, and value.”

Additionally, Jonathan Elfalan, Edmunds’ Director of Vehicle Testing, said:

“The Model 3 offers just about the perfect combination of everything — speed, range, comfort, space, tech, accessibility, and convenience. It’s a no-brainer if you want a sensible EV.”

The Model 3 is the perfect balance of performance and practicality. With the numerous advantages that an EV offers, the Model 3 also comes in at an affordable $36,990 for its Rear-Wheel Drive trim level.

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