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 Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.
While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.
Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.
Samsung’s Tesla AI5/AI6 chip factory to start key equipment tests in March: report
The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.
(Credit: Tesla)
This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.
Credit: @serobinsonjr/X
The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.
The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.
Elon Musk
What is Digital Optimus? The new Tesla and xAI project explained
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.
This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.
xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.
When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.
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The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.
Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.
Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.
It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.
Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving.
We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.
— Elon Musk (@elonmusk) March 12, 2026
Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.
By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.
As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.
In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.
It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.
News
Tesla adds awesome new driving feature to Model Y
Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.
Tesla is adding an awesome new driving feature to Model Y vehicles, effective on Juniper-updated models considered model year 2026 or newer.
Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.
Tesla writes in the release notes for the feature:
“Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.”
🚨 Tesla has added a new “Comfort Braking” update with 2026.8
“Your Tesla provides a smoother feel as you come to a complete stop during routine braking.” https://t.co/afqCpBSVeA pic.twitter.com/C6MRmzfzls
— TESLARATI (@Teslarati) March 13, 2026
Interestingly, we’re not too sure what catalyzed Tesla to try to improve braking smoothness, because it hasn’t seemed overly abrupt or rough from my perspective. Although the brake pedal in my Model Y is rarely used due to Regenerative Braking, it seems Tesla wanted to try to make the ride comfort even smoother for owners.
There is always room for improvement, though, and it seems that there is a way to make braking smoother for passengers while the vehicle is coming to a stop.
This is far from the first time Tesla has attempted to improve its ride comfort through Over-the-Air updates, as it has rolled out updates to improve regenerative braking performance, handling while using Full Self-Driving, improvements to Steer-by-Wire to Cybertruck, and even recent releases that have combatted Active Road Noise.
Tesla holds a unique ability to change the functionality of its vehicles through software updates, which have come in handy for many things, including remedying certain recalls and shipping new features to the Full Self-Driving suite.
Tesla seems to have the most seamless OTA processes, as many automakers have the ability to ship improvements through a simple software update.
We’re really excited to test the update, so when we get an opportunity to try out Comfort Braking when it makes it to our Model Y.
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
What is Digital Optimus? The new Tesla and xAI project explained
