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SpaceX board member says Starlink prototype satellites “are working wonderfully”
Speaking in a Satellite Innovation 2018 keynote, long-time SpaceX investor and board member Steve Jurvetson made a quiet but significant comment about the company’s Starlink satellite constellation efforts, stating that the first two prototype spacecraft – currently in orbit – “are working wonderfully.”
Standing in contrast to recent speculation that SpaceX’s Starlink project had experienced major failures with on-orbit hardware, Jurvetson may be a biased source but still has a major vested interest in SpaceX’s long-term success – supporting billions dumped into a satellite constellation with no real returns in sight would serve to seriously harm his significant investments in the company.
He would say that? Maybe, but @dfjsteve Jurvetson, early @SpaceX & @planet investor, told Satellite Innovation conference Oct 10, regarding SpaceX's two Starlink test sats launched in February: pic.twitter.com/WHzJlPUEPA
— Peter B. de Selding (@pbdes) October 12, 2018
Perhaps the most trustworthy source of SpaceX information outside of the company itself, Jurvetson expressed considerable confidence in SpaceX’s Starlink achievements thus far.
“I personally think SpaceX is in the lead [with Ku- and Ka-band phased arrays that could make (global LEO satellite broadband) possible] … Tintin 1 and 2 [are working wonderfully].” – Steve Jurvetson, Satellite Innovation 2018
Previously discussed on Teslarati, SpaceX’s growing experience with phased array antennas is undoubtedly a boon for the company’s proposed Starlink internet constellation, just one of several companies actively pursuing the increasingly competitive low Earth orbit (LEO) satellite broadband market. Fundamentally, phased array antennas will eventually take over nearly all multipurpose orbital communications thanks to the sheer simplicity and potential technical superiority of the technology.
Phased array antennas get their name from the fact that they have no moving parts – rather than moving a physical dish or angling dedicated ‘beams’, phased arrays actively use signal interference to very precisely shape, direct, and regulate line-of-sight communications beams. Currently quite immature, the draw of the technology is the sheer simplicity and reliability of antennas that require no moving parts, eliminating a major mode of failure and the inherent physical limitations of current antenna tech. Without something like phased arrays, LEO communications satellites would struggle to accurately and reliably track ground stations and gateways while traveling multiple kilometers per second.
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- Traditional geostationary commsats like Telstar 19V feature dish-style antennas. The weird lumps and bumps on each dish are there by design, enabling the oddly specific coverage footprints seen to the right. (Telstar)
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- Telstar 19V’s coverage map. Each coverage blob is there by design and is accomplished by physically shaping the antenna dish.
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- LEO communications satellites like Iridium’s NEXT constellation feature totally flat panels of phased array antennas, capable of forming beams digitally. (Harris)
Large communications satellites in geostationary orbit do not face this problem. Thanks to their inherently fixed positions over ground targets (hence “geostationary“), designers and manufacturers have learned to quite literally mold each satellite’s on-orbit antennas to explicitly prioritize certain areas on the ground. This process tends to involve a prior determination of markets where demand for satellite communications is or will be highest, while also avoiding wasted coverage over areas with no need for it. However, once the antenna is launched, its beams are almost completely permanent. If markets change, the satellite simply cannot adapt.
Phased arrays, on the other hand, can almost entirely change where their many beams are directed, how much bandwidth is dedicated to certain locations, and all while accurately tracking moving targets with very few limitations. As a result, satellites with phased array antennas are sort of the communications jacks of all trades, capable of offering high-bandwidth connectivity to stationary user terminals, large ground stations, and moving vehicles simultaneously from with the same antenna array.
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- SpaceX’s first two Starlink prototype satellites are pictured here before their inaugural launch, showing off a thoroughly utilitarian bus and several advanced components. (SpaceX)
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- Patent diagrams like this show various subcomponents of a sandwiched phased array antenna, comprised of multiple printed circuit boards. (SpaceX)
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- The technical term for this is “science rectangle.” In all seriousness, this is actually an extraordinary glimpse at custom silicon developed in-house at SpaceX, in this case a semiconductor die. (SpaceX)
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- One of the first two prototype Starlink satellites separates from Falcon 9’s upper stage in February 2018. (SpaceX)
If SpaceX can perfect this, they will be the only company in the world to have done so on-orbit, while other satellite operators like Iridium have managed to build and launch low-bandwidth phased arrays but have yet to attempt to do so with the bands optimal for broadband internet or at a scale that might work for constellations of hundreds or even thousands of satellites. If Jurvetson is to be believed, SpaceX’s first foray into dedicated communications satellites and specialized hardware design and manufacturing has been a major success.
Even if the orbits of Tintin A and B do suggest that some difficulties were had with at least one satellite’s electric propulsion thrusters, it’s obvious that the experience and data derived from testing the vast majority of each satellite’s non-propulsion-related systems were invaluable and well worth the effort. Another group of prototypes will likely be launched according to Elon Musk, but that’s simply how SpaceX develops complex systems – build, launch, learn, and repeat.
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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
