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SpaceX’s next Starhopper flight needs more analysis for FAA go-ahead, says Elon Musk
According to SpaceX CEO Elon Musk, the company’s next major Starhopper flight test is still awaiting FAA approval due to a need for more hazard analysis, presumably required because Starhopper will be traveling much higher than before.
On August 9th, SpaceX completed a routine wet dress rehearsal (WDR) with Starhopper, loading the vehicle with propellant and fluids and replicating a launch countdown up to the point of Raptor ignition. Starhopper remains untethered in a sign that SpaceX doesn’t have plans for a static fire test before the low-fidelity rocket prototype’s next flight milestone. Originally scheduled for August 12th, that milestone – a 200m (650 ft) hop test – has been indefinitely delayed as SpaceX awaits an updated permit from the Federal Aviation Administration (FAA).
The oddity of the apparent difficulty SpaceX is having with the FAA’s experimental permit process is deepened by the fact that Starhopper is already permitted by the FAA and demonstrated its first successful flight just a few weeks ago, on July 25th. On top of the fact that the local Boca Chica and Brownsville, Texas airspace tends to be extremely quiet, it’s unclear what exactly is holding up SpaceX, the FAA, or both in what should otherwise be a relatively streamlined process.
A few weeks ago, after one false start on July 24th, Starhopper performed its first untethered flight ever on July 25th, successfully demonstrating its integrated steel propellant tanks, avionics, software, and Raptor propulsion over the course of 20 or so seconds of flight. Starhopper’s inaugural flight was delayed at least several weeks by a major bug with SpaceX’s next-gen Raptor engine, described by Elon Musk as a problem with a certain frequency of vibration (i.e. mechanical resonance).
According to Musk, said resonance failure mode was effectively solved with unspecified modifications made to the sixth Raptor engine produce (Raptor SN06). That engine became the first to successfully pass SpaceX’s regime of pre-hop static fires in McGregor, Texas around July 10th and was shipped south to Boca Chica and installed on Starhopper scarcely 24 hours later.
Assuming those vibration issues have been completely quashed, Musk has also stated that SpaceX is aiming to produce as many as two Raptor engines per day by the end of 2019. It’s believed that all engines preceding SN06 (SN01-05) were either damaged or destroyed during testing, be that a result of intentional testing-to-destruction or anomalous behavior during certain test regimes. It should be noted that full-scale Raptor is still undoubtedly in development and hardware failure during developmental testing is more predictable and valuable than it might seem. As long as the program can handle it, ‘hardware-rich’ development (i.e. moving fast and breaking things) can be equally – if not more – valuable than an extremely cautious get-it-right-the-first-time approach.
Regardless, once SpaceX’s propulsion engineering team is confident that the more major bugs that plagued early Raptor engines have been alleviated, they will likely give the go-ahead for the engine manufacturing team to begin ramping production rates. Musk believes that SpaceX could be ready for the first test flights of either or both of the company’s orbital Mk1 and Mk1 Starship prototypes as early as mid-September, milestones that will eventually require three sea-level Raptor engines and up to three vacuum Raptor engines per rocket.
Meanwhile, although SpaceX has yet to begin assembling the first Super Heavy booster(s), said boosters will require dozens of Raptor engines each for their first flights. Musk says that SpaceX will start out with something like 20 Raptor engines per booster to minimize losses and disruption in the event of a catastrophic failure, eventually expanding to as many as 35 engines per booster as confidence grows.
For now, Starhopper’s next flight test was scheduled from August 16th through the 18th but has since been tentatively rescheduled to Aug. 19-21. Starhopper will remain grounded until the FAA is satisfied with SpaceX’s updated hazard analyses for the rocket’s 200m flight test.
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Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Hardware 3 owners could be made whole this month
SpaceXAI just launched into your kitchen with their new app
