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SpaceX Falcon Heavy rocket kicks off fifth mission with most spectacular launch yet
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.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
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).
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.
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.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
