News
SpaceX may have missed a rocket booster landing but it snagged both nosecone halves
Although SpaceX sadly lost a record-breaking rocket booster and suffered a significant in-flight anomaly during its sixth Starlink launch, the company later revealed that it successfully recovered both of Falcon 9’s nosecone halves.
Starlink V1 L5 is now the second time ever that SpaceX – or anyone, for that matter – has successfully reused an orbital-class launch vehicle payload fairing, while the mission also marked the first time that SpaceX managed to recover a reused Falcon fairing. The burn from booster issues certainly isn’t fully salved, as twin fairing catchers Ms. Tree and Ms. Chief both missed their fairing catch attempts, but both twice-flown fairing halves were still successfully scooped out of the Atlantic Ocean before they were torn apart.
This is perhaps the most important milestone for SpaceX’s fairing recovery and reuse program since the first successful catch (June 2019) and first successful reuse (November 2019). With a twice-flown fairing now safely in hand for the first time, SpaceX will hopefully be able to dramatically expand its understanding of how flight-proven fairings – especially those that were fished out of the sea – stand up to launch conditions. If these flight-proven halves appear to be in great condition, it could be a boon for the near-term future of fairing recovery and reuse.

Catching fairings = hard
SpaceX has now been attempting to catch Falcon payload fairings for more than two years, beginning back in February 2018 after many months of additional development prior. The first successful catch came on the sixth post-launch attempt, followed immediately by a second successful catch two months later (August 2019). That back-to-back recovery appears to have been a bit of a fluke, however, with only one additional partial success (one of two ships caught a half) out of the five subsequent attempts.
By all appearances, accurately and reliably catching parasailing Falcon fairings is a spectacularly unforgiving challenge. That shouldn’t come as a huge surprise: each Falcon fairing will typically reach top speeds of 2.5+ km/s (1.5+ mi/s), technically reach space (100+ km or 63+ mi), and travel 500-1000+ km (300-600 mi) downrange before even remotely entering the vicinity of the ships designed to catch them out of the air.


Likely weighing just ~1000 kg (2200 lb) apiece, the lightweight, sail-like nature of SpaceX’s carbon fiber-aluminum honeycomb payload fairings is both a blessing and a curse. While it means they can effectively reenter Earth’s atmosphere at hypersonic velocities with next to no heat shield, it also means that free-falling and parasailing fairing halves are at the full mercy of said atmosphere after reentry, bowing to winds and air currents like dandelions in a breeze.
Fairing halves ultimately spend something like 30-40 minutes parasailing through the atmosphere after parafoil deployment, creating vast uncertainties when it comes to local weather and the general behavior of the atmosphere. Even excluding weather, the average fairing catch attempt is roughly akin to throwing an average marble into a kitchen sink from more than a kilometer (0.8 mi) away.

Soft ocean landings: quite a bit easier
What SpaceX has effectively discovered is that while catching fairing halves may be almost comically difficult, recovering the same halves intact is easily doable if the goal instead is to gently pick them up off the ocean surface. Of the eleven catch attempts SpaceX has made, all but two were followed by recovery vessels extracting one or both fairing halves -intact – from the ocean.
Most notably, though, SpaceX has yet to reuse any of the three Falcon fairing halves that were caught with Ms. Tree. Instead, both the first and second reuses used fairing halves that had been fished onto recovery ships after gentle Atlantic Ocean landings.

SpaceX has ultimately chosen to tackle the much harder reusability challenge – reusing fairings that have been partially immersed in saltwater – first, and done so quite successfully. Critically, the first reused fairing was unable to be recovered – even by sea – due to bad weather in the area, meaning that Wednesday’s recovery was a first for rare flight-proven fairing hardware. Given all the challenges Falcon fairings face with water sealing, corrosion, and contamination after water landings, it would be little surprise to learn that the second reused fairing is not exactly in pristine condition.
However, if it looks as good or better than SpaceX’s less-informed expectations, there’s a chance that it could open the floodgates for the full-scale pursuit of routine waterlogged fairing reuse. Even better, if the Starlink v0.9 and V1 L5 fairing halves have been recovered in great condition, there might be a chance to reuse Falcon fairings multiple times, following in the footsteps of the rocket boosters they launch on top of.
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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.