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SpaceX’s Falcon Heavy fairing tries to enter hyperspace, lands in net in new videos
SpaceX and CEO Elon Musk have released videos offering an extended look at the unexpectedly dramatic conditions Falcon payload fairings are subjected to during atmospheric reentry, as well as the first successful landing in GO Ms. Tree’s net.
Captured via an onboard GoPro camera during Falcon Heavy’s June 25th launch of the USAF Space Test Program-2 (STP-2) mission, the minute-long cut shows off a light show more indicative of a spacecraft entering hyperspace than the slightly more mundane reality. Shortly after SpaceX posted the reentry video, CEO Elon Musk followed up with a video showing a fairing’s gentle landing in Ms. Tree’s net. More likely than not, the fairing with the camera attached and the fairing that became the first to successfully land in Mr. Steven’s (now GO Ms. Tree’s) net are the same half. Regardless, the videos help document a major step forward towards SpaceX’s ultimate goal of fairing reuse.
“In a pleasant, last-minute surprise, SpaceX fairing recovery vessel Mr. Steven has departed Port Canaveral for its first Falcon fairing catch attempt in more than half a year. The speedy ship has already traveled more than 1250 km (800 mi) in ~48 hours and should soon be in position to attempt recovery of Falcon Heavy Flight 3’s payload fairing halves.
Over the last week or two, Mr. Steven has been officially renamed to GO Ms. Tree, a strong indicator that Guice Offshore (GO) – a company SpaceX is heavily involved with – has acquired the vessel from financially troubled owner/operator Sea-Tran Marine. With this likely acquisition, nearly all of SpaceX’s non-drone ship vessels are now leased from – and partially operated by – GO. The name change is undeniably bittersweet for those that have been following Mr. Steven’s fairing recovery journey from the beginning. However, it’s also more than a little fitting given that the vessel switched coasts and suffered an accident that forced SpaceX to replace the entirety of its arm-boom-net assembly. Much of Mr. Steven – now GO Ms. Tree – has been replaced in the last few months and with any luck, the vessel is better equipped than ever before to snag its first Falcon fairing(s) out of the air.”
— Teslarati.com, June 24th
As they say, the rest is history. Some 60-75 minutes after Falcon Heavy lifted off from Pad 39A on June 25th, Ms. Tree successfully caught a parasailing fairing for the first time ever, just barely snagging one of the two halves at the very edge of the ship’s net. Two days later, Ms. Tree arrived back at Port Canaveral. Another 24 hours after that, the intact, dry fairing half was safely lifted onto land and transported to a local SpaceX facility dedicated to analyzing (and eventually refurbishing) recovered Falcon fairings.
Landing on Ms. Tree pic.twitter.com/4lhPWRpaS9— Elon Musk (@elonmusk) July 4, 2019
With any luck, the successful catch will prove that the years of work have been worth it, demonstrating that fairing halves caught – rather than fished out of the ocean – are structurally sound and clean enough to be quickly and affordably reused. While Falcon fairings have been estimated to take up less than 10% of the material cost of Falcon 9 production (~$6M, $3M/half), the manufacturing apparatus needed to build them takes up a huge amount of space. Additionally, the process of oven-curing huge, monolithic carbon fiber fairings introduces fundamental constraints that physically limit how quickly they can be built.
Fairing reuse would be an invaluable benefit for SpaceX’s internal Starlink launches, of which dozens and – eventually – hundreds will be needed to build an operational constellation of satellites. Thanks to the wonders of Falcon 9 Block 5 booster reuse, the internal cost of a flight-proven booster is essentially just the cost of refurbishment and then the propellant and work-hours needed to launch it. What remains is the cost of the expendable Falcon upper stage (unlikely to be recovered or reused) and payload fairing, now reasonably consistent at landing intact on the ocean surface but yet to demonstrate practical reusability.
As proposed, SpaceX’s completed Starlink constellation represents almost 12,000 satellites. Assuming no progress is made with packing density, no larger payload fairing is developed, and Starship doesn’t reach orbit until the mid-2020s (admittedly unlikely), Starlink will require almost exactly 200 Falcon 9 launches, each carrying 60 satellites. According to Musk, despite the fact that the first 60 satellites launched were effectively advanced prototypes, the cost of launch is already more than the cost of satellite production.
Speaking at a conference in 2017, Musk noted that payload fairings cost about $6M to produce, roughly 10% of Falcon 9’s $62M list price. In 2013, Musk stated that the first stage represented less than 75% of the overall cost of Falcon 9 production, meaning that the rocket’s upper stage probably represents another 15-20% (call it a 70:20:10 split), or ~$9-12M. Conservatively assuming that the operating costs of Falcon 9 refurbishment, launch, and recovery are roughly $5M per mission, the internal cost to SpaceX for a launch with a recoverable flight-proven booster and an expended fairing and upper stage could be just $20-25M and may be even lower.
For reference, assuming 200 Falcon 9 launches, SpaceX could save nearly $600M by consistently recovering and reusing just one fairing half on average per launch, up to as much as $1.2B if both halves can be consistently recovered and reused. June 25th’s successful fairing catch is the biggest step yet in that direction and is hopefully a sign of many good things to come for SpaceX’s latest attempt at building truly reusable rockets.
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Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
