News
Elon Musk reveals SpaceX Falcon 9 survived a water landing test
Following the picture-perfect launch of GovSat-1 on Wednesday afternoon, SpaceX CEO Elon Musk took to Twitter with an extremely unusual bit of news. After separating from the second stage, events relating to Falcon 9’s first stage recovery operations were heard live in the background of SpaceX’s live coverage, leading to some additional intrigue around an already odd situation.
B1032, a flight-proven (reused) booster tasked with launching GovSat-1 on its second mission, was seen with landing legs and grid fins on its sooty exterior – a confusing appearance due to SpaceX’s statement that the core would be expended into the ocean after launch. Thankfully, Elon Musk’s tweets provide at least the beginning of an answer for the several oddities.
This rocket was meant to test very high retrothrust landing in water so it didn’t hurt the droneship, but amazingly it has survived. We will try to tow it back to shore. pic.twitter.com/hipmgdnq16
— Elon Musk (@elonmusk) January 31, 2018
As stated above, GovSat-1’s Falcon 9 booster (1032) was apparently being used to test an exceptionally aggressive landing burn in lieu of a drone ship beneath it. The lack of drone ship begins to make more sense with the added knowledge that 1032 was testing experimental landing procedures: in the relatively likely eventuality that something went wrong, the massive booster would have likely impacted Of Course I Still Love You at an extremely high velocity. Similar impacts have occurred before as SpaceX gradually perfected the new technologies and operational knowledge necessary to recover orbital-class rockets, but a basic understanding of rocketry implies that 1032’s OCISLY impact would have been uniquely destructive, likely taking the ship out of action for at least several weeks of repairs.
This would pose an inherent problem for the imminent launch of Falcon Heavy, with the center of three first stages currently scheduled to attempt a landing aboard the very same drone ship in less than a week. Under optimum conditions (sans huge explosions and general destruction), OCISLY and its entourage of support vessels simply could not complete the journey back to Port Canaveral and the subsequent return to sea that would have been necessary to recovery both GovSat-1 and Falcon Heavy’s center core. Add in the potential need for repairs and expending GovSat-1 was a no-brainer for the launch company: Falcon Heavy’s center core could easily see at least one additional launch after it is recovered, whereas the twice-used 1032 effectively reached the end of its useful life after it separated from the second stage and GovSat payload earlier today.
Falcon 9 1038 aboard Just Read The Instructions after the launch of Formosat-5. (SpaceX)
As a result, SpaceX appears to have continued a trend of exploiting flight test opportunities to the greatest extent practicable by tasking B1032 with an experimental landing attempt. More specifically, Elon quickly added that the landing burn attempted by 1032 involved the ignition of three of the booster’s nine Merlin 1D engines during landing, whereas all SpaceX landings up to this point have occurred with a single Merlin 1D ignition. While the company already routinely utilizes three engines during some boostback and reentry burns, landing burns have always featured a single engine. However, by using three engines, it is entirely possible that SpaceX hopes to eventually move towards even more aggressive landing burns. While the obvious downsides likely include difficulty maintaining control and increased stresses on the booster, the benefits are also pretty inherent. By using more engines, the length of the landing burn could be drastically shortened, resulting in far more efficient propellant usage by minimizing losses to gravity (every second the rocket is trying to go upwards is a second fighting against Earth’s gravity, which pulls the rocket down at ~9.8 meters/second squared).
Incredibly, the booster somehow managed to pull off that three engine landing burn with some success, made apparent by the fact that it is intact and floating in the Atlantic, with some hope of being towed back to land. This is almost certainly the first time SpaceX has ever successfully landed a booster in the ocean without a subsequent breakup, an incredible achievement for a rocket that likely experienced exceptional stresses during reentry and landing. Time will tell how this impacts SpaceX’s future recovery efforts, but it is certainly promising as a method of extracting just a little extra performance from reusable Falcon 9s. In other words, future Falcon 9 missions might be able to carry heavier payloads into higher orbits while still being able to land at sea or even on land. Exciting times!
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.
Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI
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
