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SpaceX preps Texas Starship’s second tank dome for installation in latest milestone

On August 4th, SpaceX technicians flipped the second of three tank domes destined for installation inside the Texas orbital Starship prototype. (Elon Musk)

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During an August 4th visit to SpaceX’s Boca Chica Starship build site, CEO Elon Musk captured and shared photos showing technicians carefully flipping the second of three propellant tank domes destined for installation inside the company’s South Texas orbital Starship prototype.

This is the latest visible step towards the completion of one of SpaceX’s two “Mk 1” Starships, said by Elon Musk to be the first orbit-capable prototypes. Per recent tweets, either or both of the prototypes – being built concurrently at separate sites in Florida and Texas – could be ready for their first flight tests as early as September or October 2019.

Set to be powered by up to three sea-level (SL) Raptors and three vacuum-optimized Raptors (RVacs), Musk has stated that SpaceX’s first two orbital Starship prototypes will likely begin flight testing with just the three SL engines installed. Recently, the SpaceX CEO did, however, indicate that development of Raptor’s vacuum variant – postponed as of a September 2018 update – had been reprioritized and said that it could actually be ready sooner than later.

Raptor Vacuum will have a significantly larger nozzle compared to the sea level engine it will be based on. According to Musk, RaptorVac will have a nozzle diameter of roughly 2.8m (9.2 ft), while the SL Raptor features a ~1.3m (4.2 ft)-diameter nozzle. With a larger diameter nozzle, a chemical rocket engine can technically generate more thrust and is significantly more efficient due to an increased expansion ratio, meaning the difference in the diameter of the nozzle exit and combustion chamber throat.

In the very simplest sense, this efficiency and thrust increase comes from the fact that a longer nozzle allows the exiting gas (reaction mass) to reach a higher velocity, thus conveying more momentum onto the rocket it is propelling.

BFS (circa 2017) shows off its complement of SL and Vacuum Raptor engines. SpaceX is moving back to something similar to this. (SpaceX)
Technically speaking, this Raptor is the smaller (sea-level) version of the engine. (SpaceX)

Starship’s Raptor engines, of course, use liquid methane as fuel and liquid oxygen as their oxidizer. According to SpaceX, fully fueling a combined Super Heavy and Starship stack will require an incredible ~5000 tons (11 million pounds) of propellant – ~1500 tons for Starship and ~3500 tons for Super Heavy.

To contain such a huge amount of fuel and oxidizer, Starship (and Super Heavy) must effectively be turned into extremely mass-efficient pressure vessels, capable of supporting something like 20 kilograms of propellant with every kilogram of rocket structure.

Technicians carefully guide the Texas Starship’s first bulkhead into its propellant and propulsion section on July 30th. (NASASpaceflight – bocachicagal)

SpaceX’s installation of bulkheads in the Texas Starship prototype are thus an inherent indication that the rocket is being readied to play the role of a massive, ultra-strong pressure vessel. While sitting vertically, a fueled Starship’s tank domes will be subjected to immense pressures and forces from the sheer weight of the liquid oxygen and methane held above them.

Additionally, the rearmost dome will likely be partially or fully integrated into Starship’s thrust structure, meaning that it will simultaneously be subjected to the thrust of 3-6 Raptors (as much as 600-1200 tons of thrust) and the gravity of 300 metric tons of methane. It’s unclear if SpaceX is planning to reinforce Starship and Super Heavy tank bulkheads with structural add-ons, but it’s safe to assume that some level of reinforcement will be required.

A look inside the 2017 version of SpaceX’s 9m-diameter Starship. (SpaceX)
Per the above diagram and the fact that SpaceX flipped bulkhead #2 upside down, the dome pictured above is almost certainly the aforementioned “common dome” that will separate Starship’s methane and oxygen tanks. (NASASpaceflight – bocachicagal)

SpaceX CEO Elon Musk’s planned August 24th presentation on Starship and Super Heavy will likely (hopefully) provide some new details on the structure and general design of the company’s advanced, next-generation rocket.

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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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