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SpaceX Falcon Heavy rocket kicks off fifth mission with most spectacular launch yet

Falcon Heavy's most spectacular launch yet. (Richard Angle)

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SpaceX’s fifth Falcon Heavy lifted off shortly after sunset on the US Space Force’s USSF-67 mission, producing one of the massive commercial rocket’s most spectacular launches yet.

Powered by three Falcon 9-derived boosters, each with nine Merlin 1D engines, Falcon Heavy fired up and soared off of SpaceX’s Kennedy Space Center LC-39A pad at the start of its Sunday launch window. Producing up to 2326 tons (5.13 million lbf) of thrust shortly after liftoff, Falcon Heavy upheld its position as the world’s most powerful commercial rocket and the second most powerful operational rocket.

USSF-67 largely mirrored SpaceX’s November 1st, 2022 USSF-44 Falcon Heavy launch, and even used the same side boosters. Flying for the second time in 75 days, B1064 and B1065 aced their roles in the mission and separated from Falcon Heavy’s expendable center booster (or core) around three minutes after liftoff. The side boosters immediately flipped around with thrusters powered by compressed nitrogen gas and ignited three of their nine Merlin 1D engines to boost back to the Florida coast. After coasting back to Florida, they completed brief reentry burns to lessen atmospheric heating and fired up one last time to gently touch down at SpaceX’s LZ-1 and LZ-2 landing pads.

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Another mysterious military mission

Because Falcon Heavy lifted off after sunset, local skies were dark and the rocket quickly climbed back into daylight, creating spectacular contrast between twilight and the bright rocket exhaust. When Falcon Heavy’s side boosters flipped around and reignited, their high-velocity exhaust plumes slammed into the center core’s opposing plume, producing spectacular interactions and a nebula-like cloud that caught even more of the daylight. Had Falcon Heavy lifted off just a handful of minutes later, a darker sky could have made for an even more incredible ‘nebula’ or ‘jellyfish’, but the rocket’s first twilight launch was still spectacular.

After both side boosters touched down, SpaceX ended its live coverage at the request of the Space Force, reiterating the mission’s secretive customer and nature. Compared to USSF-44, the USSF hasn’t confirmed much about the USSF-67 mission’s payloads, but Falcon Heavy is known to be carrying a geostationary communications relay satellite called CBAS-2 and likely built by Boeing.

CBAS-2 is joined by Northrop Grumman’s third Long Duration Propulsive EELV or LDPE-3A, a combination of a propulsive kick stage and a satellite. LDPE-3A is carrying a collection of rideshare satellites and payloads and is designed to operate for months in orbit. Using USSF-44 as a guide, the total USSF-67 payload could weigh roughly 3.75 to 4.75 tons (8,250-10,500 lb).

LDPE. (Northrop Grumman)

Climbing to GSO

While small compared to ordinary payloads, Falcon Heavy is launching USSF-67 directly to a geosynchronous orbit. Direct-to-GEO/GSO launches are exceptionally challenging for the rocket. Falcon Heavy must first sacrifice one of its three boosters just to ensure the Falcon upper stage is traveling fast enough and has enough propellant to spare when it separates. The upper stage must then conduct at least three or four burns.

The first burn likely carried the upper stage and USSF-67 payload into a parking orbit around 300 kilometers (~185 mi) above Earth’s surface. A second burn of the upper stage’s Merlin Vacuum engine will lift the pair into a geosynchronous transfer orbit (GTO) with the low end still around 300 kilometers but the high end around 35,800 kilometers (~22,250 mi). Finally, the upper stage must survive a roughly five-hour coast to that apogee. During that coast, the rocket must survive passes through both of Earth’s harsh radiation belts and maintain perfect control of its orientation and tank pressures to keep its refined kerosene fuel from freezing, its cryogenic liquid oxygen (LOx) from boiling away, and itself from bursting as its propellant warms and expands.

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A render of a Falcon upper stage heading to orbit on a (non-military) rideshare mission. (SpaceX)

If it does all of those things right, the upper stage will be able to complete a circularization burn at apogee and deploy its CBAS-2 and LPDE-3A payloads directly into geosynchronous orbit (~35,786 x ~35,786 km). At GSO, satellites orbit at the same speed as Earth spins, allowing them to indefinitely hover over the same region of the planet, making it useful for Earth observation, surveillance, and communications. Finally, the Falcon upper stage will attempt to complete one last burn to send itself into a graveyard orbit just above GSO, where it will eventually run out of power and lose control.

It will take around 6-8 hours after liftoff before SpaceX or the USSF can confirm if the mission was a success. Rewatch SpaceX’s fifth Falcon Heavy launch and dual booster landing here.

Falcon Heavy ascends to space for the fifth time. (Richard Angle)
(Richard Angle)
Side boosters B1064 and B1065 boost back to Florida. (Richard Angle)
Side boosters B1064 and B1065 boost back to Florida. (Richard Angle)
(SpaceX)
Landing. (SpaceX)

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Investor's Corner

Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst

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Credit: Tesla China

Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.

On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.

However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.

He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.

The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.

Instead, they have asked for a full-size SUV from Tesla.

Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck

Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.

TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.

Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.

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Tesla Hardware 3 owners could be made whole this month

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tesla-asia-model-3
Credit: Tesla Asia/Twitter

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.

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.”

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.

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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.

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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.

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