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SpaceX completes vast Mr Steven arm upgrades for quadruple-sized net

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Scarcely 48 hours after they began, SpaceX technicians have already completed installation of all four of Falcon fairing recovery vessel Mr Steven’s new and dramatically larger arms, as well as eight giant struts. All that remains to be installed is an upgraded net, said by CEO Elon Musk to have four times the area of its predecessor.

Put simply, it’s difficult to express how large these upgraded arms really are, and photos still only give a partial sense of their scale. SpaceX technicians busy installing the new arms on July 10th nevertheless offer a fleeting appreciation of the true size of this new payload fairing recovery apparatus, which will hopefully see its first operational debut in just two weeks with a fairing recovery attempt after the Iridium-7 Falcon 9 mission, July 25th.

All arms on deck

While it’s difficult to estimate from photos alone, it appears that Mr Steven’s new arms are minimum of roughly 65 meters squared, assuming a square aspect ratio. In other words, the vessel’s next and newest net could have an area as large as 3600 square meters (~40,000 square feet, ~0.85 acres), easily more than quadruple the size of Mr Steven’s previous net. For comparison, the massive autonomous spaceport drone ships (ASDS) SpaceX often recovers its Falcon 9 and Heavy boosters aboard have a usable landing area of roughly 45,000 square feet, a little more than 10% larger than Mr Steven’s new net.

With these vast new arms, struts, and (soon enough) net, SpaceX is likely as close as they have ever been to successfully catching a Falcon 9 fairing, an achievement that would likely allow the company to begin reusing the large carbon fiber-composite shrouds almost immediately. Critically, although SpaceX appears to have begun attaching recovery hardware to both fairing halves in recent West Coast attempts, it remains to be seen whether Mr Steven’s new claw apparatus will be able to catch both halves, thus closing the gap on fairing recovery without necessitating the leasing and modification of perhaps three additional copies of the vessel.

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Adding three recovery-critical ships (two for West Coast missions, two for East Coast missions) to SpaceX’s already massive blue-water fleet could significantly raise the operating costs of each recovery attempt, as well as generally adding considerable complexity to the orchestration of those fleets come launch time. Perhaps not. Still, if Mr Steven sees success with his 4Xed net and arms, chances are very good that SpaceX will lease and modify another Fast Supply Vessel – if they already haven’t done so – to provide the company’s higher-volume East Coast launch facilities with their own, dedicated fairing catcher. Mrs Steven awaits…

Zeroing in on Falcon fairings

Worth noting, SpaceX may have already halved the error margin officially advertised for the parafoil guidance units it procured from Canadian supplier MMIST, apparently missing Mr Steven by about 50 meters while MMIST suggests a 50% chance of successfully landing a payload in a 100-meter sphere. Given the significant expense likely incurred by designing, building, installing, and testing two distinct net and arm systems aboard Mr Steven, it’s safe to say that SpaceX engineers and technicians believe there is a very strong chance that the newest solution will successfully close the fairing recovery gap, said by CEO Elon Musk to be a rather literal 50 meters between the vessel’s old net and the unforgiving ocean surface.

With an additional 30 meters (~100 feet) of reach in both axes, the new net alone may be able to shrink that error margin by ~60%. Perhaps the fact that it also appears to cover (and thus protect) Mr Steven’s wheelhouse will allow the vessel more leeway to aggressively maneuver as the fairing nears touchdown, providing that final 20-meter leap to slip his net under the fall halves.

In the meantime, we will ponder who exactly SpaceX is procuring a 40,000 square foot net from.

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Incredibly, this artist rendering of a much larger net installed on Mr Steven was perhaps two or more times smaller than the solution now installed on the vessel. (Reese Wilson)

Follow us for live updates, peeks behind the scenes, and photos from Teslarati’s East and West Coast photographers.

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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.

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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.

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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).

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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.

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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.

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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.

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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:

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“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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