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SpaceX Starlink launch suffers last-second scrub, ULA up next [update: double scrub]

ULA's latest Delta IV Heavy launch attempt is up next after a last-second SpaceX scrub. (ULA)

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Update: ULA has scrubbed today’s NROL-44 launch attempt after the weather at the launch site substantially worsened. The Delta IV Heavy rocket’s next shot at launch is now scheduled no earlier than 11:58 pm EDT (03:58 UTC), Tuesday, September 29th, just two hours after a SpaceX Falcon 9 is scheduled to launch the US military’s fourth upgraded GPS III satellite.

SpaceX’s eleventh Starlink launch of the year was scrubbed ~30 seconds before liftoff by bad weather, likely delaying the mission a few days and leaving ULA’s latest Delta IV Heavy launch attempt next in line.

Scheduled to lift off at 10:22 am EDT on Monday, September 28th, SpaceX’s 12th operational Starlink launch (V1 L12) nearly made it to liftoff before the company called the mission off, prioritizing mission success above all else. Given that SpaceX’s Starlink program puts the company in the unique position of being its own launch customer, the decision to let a relatively mild weather violation delay a Starlink mission by at least a few days is unintuitively encouraging.

It’s no secret that SpaceX has become the most successful private launch company in history and a commercial force to be reckoned with, handily overtaking United Launch Alliance (ULA) and Arianespace to acquire a vast majority of the commercial launch market share. Falcon 9 is on track to become the fastest commercial rocket in history to cross the 100-launch milestone and SpaceX is already well on its way to regularly out-launching entire countries with 20+ missions per year. The single biggest risk facing the company is arguably complacency and an infamous tendency known as “launch fever.”

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The first twice-flown Falcon 9 payload fairing half is pictured here shortly before SpaceX scrubbed Starlink-12. (SpaceX)

At the cutting edge of spaceflight, constant, exhaustive vigilance is ultimately the only thing standing between a reliable rocket or spacecraft and catastrophic failure. Perhaps the single biggest threat to that vigilance is the somewhat understandable desire to avoid launch delays – a fact of life for rocketry that nevertheless costs time, money, and (to some) reputation. The term “launch” or “go fever” was originally colloquialized to describe the irresponsible managerial pressure to launch largely responsible for both of NASA’s catastrophic Space Shuttle failures.

Some (if not most) parts of SpaceX almost assuredly would rather avoid launch delays. The fact that the company continues to accept Starlink launch delays and respect Falcon 9’s limits strongly implies that SpaceX has found ways to prevent launch fever while still pushing the envelope of launch cadence and rocket reuse. Starlink-12, for example, was originally meant to launch on September 17th but was delayed ~10 days by strong ocean currents before being scrubbed seconds before launch on September 28th. Combined with the fact that SpaceX is technically free to accept more risk on its own Starlink launches, compounded delays will inevitably test the limits of any organization’s resolve.

Falcon 9 fogs up the camera moments before a scrubbed launch attempt. (SpaceX)

While the argument that SpaceX is technically the only direct stakeholder in Starlink missions is a bad-faith argument that could easily be made to push for increased risk tolerance, it’s only true in a vacuum. A Falcon 9 failure during a Starlink launch would still have major consequences for all of SpaceX’s customers, particularly delaying critical NASA astronaut and US military launches until a lengthy accident investigation is completed. SpaceX executives and managers involved in launch go/no-go decisions clearly understand this and act accordingly.

Starlink-12 will likely be recycled for another launch attempt sometime after ULA’s next Delta IV Heavy launch attempt and probably after SpaceX’s own GPS III SV04 mission for the US military, scheduled no earlier than (NET) 12:02 am EDT (04:02 UTC) and 9:55 pm EDT (01:55 UTC), September 29th, respectively. Catch ULA’s latest NROL-44 launch attempt at the company’s official webcast below.

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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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