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SpaceX’s recent Starship testing challenges don’t worry Elon Musk
In his latest burst of tweets, SpaceX CEO Elon Musk says he isn’t all that worried about a duo of recent Starship prototype failures and talked next steps for the next few Starships.
Aside from SpaceX’s South Texas rocket factory, Musk also touched on progress being made on the cutting-edge Raptor engine set to power Starships and their boosters, revealing a small production milestone in the process. The CEO says that SpaceX has already begun building its 26th Raptor engine, a sign that Raptors may actually be waiting on Starships in a turn of events. Back when SpaceX was busy testing its low-fidelity Starhopper testbed, the ship actually had to wait several months for the full-scale Raptor engine’s design to mature enough to support 15-30+ second hop tests.
Now, Musk’s Raptor SN26 reveal implies that SpaceX is slowly but surely ramping up production of the new engine back at its Hawthorne, California headquarters.
From August to December 2019, SpaceX completed one Raptor engine every ~17 days, on average. With Musk’s confirmation that SpaceX is currently building (or already testing) SN26, the company is completing an engine every 12-14 days – an overall improvement of 20-40%. In other words, SpaceX’s growing engine production capacity is almost perfectly positioned to support a fleet of suborbital Starship prototypes, which is about where the company’s Boca Chica, Texas factory is today.
Obviously, following two recent full-scale Starship prototype failures spaced barely a month apart, rocket production has a ways to go before it will need the volume of Raptor engines SpaceX appears to already be capable of producing. For the time being, three Raptor engines – having already completed production in Hawthorne and acceptance testing in McGregor, Texas – are quite literally sitting around and gathering dust as they wait for the first Starship prototype qualified to host them.
Once a Starship passes proof testing, SpaceX will be able to install either one or all three engines for an inaugural static fire test, following by a small Starhopper-class hop (no higher than 150m or 500 ft).
However, once SpaceX has explored the full range of testing available to suborbital Starship prototypes, things will change. Likely ending with the first one or several successful ‘skydiver-style’ rocket landing tests, SpaceX will finally be able to seriously think about its first orbital flight tests. To reach orbit and still be capable of returning to Earth and landing softly, Starship will need a Super Heavy booster – set to be the largest rocket booster ever developed by a large margin.
Although Musk has stated that early orbital flight tests will likely launch with far fewer engines, a single Super Heavy booster could eventually require 37 Raptor engines – a full 42% more engines than SpaceX has managed to build in the entire 15+ month history of full-scale Raptor production.
Thankfully, SpaceX’s engine production HQ likely has at least 6-12 months to ramp up production to support fully-outfitted Super Heavy boosters – let alone several. For the time being, each suborbital Starship only needs 3 sea level-optimized Raptor engines, although it’s possible that SpaceX will eventually perform suborbital tests with a full compliment of six engines – including three with much larger vacuum-optimized nozzles.
Ultimately, Musk explained that his lack of concern about recent Starship prototype failures – potentially including any anomalies that follow SN4’s test campaign – comes from the fact that he believes that producing Starships is a much more challenging and pressing concern. Indeed, if your factory can churn out functioning building-sized spacecraft for pennies on the dollar, losing a few during testing is little more than an annoyance. The first failed prototypes can thus be considered learning experiences, helping SpaceX improve designs and optimize the factory and production strategies. SpaceX does still need to prove that its existing approach really can build functioning rockets, but that should (in theory) come with enough trial and error.
Depending on how initial tests go with Starship Serial Number 4 (SN4), likely days away from wrapping up production, Musk says that the first few suborbital Starship tests will likely involve short, low-velocity hops. Those flights will be slow enough that the ship (or ships) wont require aerodynamic control surfaces to complete them, instead relying entirely on smaller thrusters and the thrust vector control (TVC) provided by their three main Raptor engines.
If Starship SN4 testing – including wet dress rehearsals, Raptor static fires, and short hops – goes perfectly, Musk says that Starship SN5 could be the first new ship to have fully-functional flaps installed. If things don’t go quite as well, that milestone could shift to Starship SN6, while SN7 and beyond are obviously on the table in the event of even less forgiving SN4/SN5 testing scenarios. For now, Starship SN4 could be ready to move to the launch pad and kick off a series of critical proof tests a handful of days from now.
Elon Musk
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.
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.
Tesla owners have now driven >8 billion miles on FSD Supervisedhttps://t.co/0d66ihRQTa pic.twitter.com/TXz9DqOQ8q
— Tesla (@Tesla) February 18, 2026
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.
News
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.
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.
Credit: wudapig/Reddit< /a>
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.
Elon on the MKBHD bet, stating “Yes” to the question of whether Tesla would sell a Cybercab for $30k or less to a customer before 2027 https://t.co/sfTwSDXLUN
— TESLARATI (@Teslarati) February 17, 2026
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.
News
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.”
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 Tesla Model 3 has won Edmunds Top EV of 2026:
“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… pic.twitter.com/ARFh24nnDX
— TESLARATI (@Teslarati) February 18, 2026
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.
Tesla announces crazy new Full Self-Driving milestone
Tesla Cybercab production begins: The end of car ownership as we know it?
