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SpaceX’s Starship facilities, Raptor testing, and more shown off in new video

Despite tornadoes and flooding around the site, SpaceX technicians continue to work around the clock to prepare Starship Mk1 for flight. (NASASpaceflight - bocachicagal)

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SpaceX has teased a video highlighting all aspects of its next-generation Starship rocket, ranging from new views of the Starship Mk1 prototype in Boca Chica to slow-motion clips of Raptor engine static fire tests in McGregor, Texas.

2019’s International Astronautical Congress (IAC) has included multiple SpaceX presentations, culminating on October 22nd with a discussion panel featuring SpaceX COO and President Gwynne Shotwell. Aside from offering some excellent details on the progress being made by SpaceX Starlink program, Shotwell also debuted a new Starship-centric video, featuring a range of new views of SpaceX’s next-generation rocket development program.

IAC 2019 attendee Trevor Mahlmann was able to stream the bulk of the panel, including Shotwell’s minute-long Starship program redux. Aside from a new perspective of Starhopper after its second and final test flight, perhaps the most notable new footage offered a select few glimpses of Starship Mk1’s build process. Drone timelapses and video taken from inside Starship’s tank section – prior to the installation of its third and final dome – are a strong confirmation that SpaceX is constantly acquiring high-quality footage throughout the development program.

Additionally, a back-to-back series of new videos of Raptor engine static fire testing may have been a sort of highlight reel of Raptor SN06 – the first engine to successfully make it through SpaceX’s preflight test regime – before it supported Starhopper’s final flight test in August 2019. It could nevertheless be any number of engines, as SpaceX continues to build and test Raptors at an accelerating rate.

A slow-motion video shows Raptor (perhaps SN06) completing a test fire in McGregor, Texas. (Trevor Mahlmann – SpaceX)

Meanwhile, beyond Shotwell’s October 22nd discussion panel, SpaceX Principal Mars Development Engineer Paul Wooster revealed additional previously-unseen views of Starship – this time in the form of a lunar landing render. This particular render featured an unusual setup in which Starship appeared to have opened garage door-style hatches along its hull after landing on the Moon, revealing what can be assumed to be cargo bays.

A Starship optimized for lunar cargo delivery was shown by SpaceX’s Paul Wooster on October 18th. (SpaceX)

In an even weirder twist, a large Moon rover appears to be heading to the lunar surface on a section of Starship’s detached hull that has been transformed into an ad-hoc elevator. The quality of the screenshot is subpar but there are no obvious strings or wires, suggesting that the implied elevator is some sort of track built directly onto the exterior of Starship’s hull. What is likely an astronaut stands on the surface, awaiting the delivery if their fresh Moon rover.

It’s unclear if the recent burst of Starship-related disclosures and teasers from SpaceX executives and senior employees is a glimpse behind the curtains or a sign of a new stage of seriousness and company-wide interest in the next-generation rocket, but it doesn’t look like it’s going to be stopping anytime soon. Up next for Starship is a critical 20 km (12 mi) flight test that will use the Mk1 prototype to determine whether SpaceX’s exotic skydiver-like recovery method is a viable option for landing on Earth and Mars. A different SpaceX presenter indicated that that test flight could occur as early as December 2019.

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If successful, SpaceX CEO Elon Musk has said that the very next Starship flight test could be the spacecraft’s first attempted orbital flight. It’s far more likely that many more test flights – possibly including Super Heavy booster hops – will occur before an orbital launch attempt is made. Still, Musk believes that it could occur as few as six months from now, while Shotwell (often known for her more down-to-earth approach to schedule estimates) stated at IAC 2019 that she hoped it would occur “within a year”.

Starship’s first operational cargo mission to the surface of the Moon would then follow as early as 2022.

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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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