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SpaceX’s Falcon Heavy rocket back in action after a three-year hiatus
Update: The US Space Systems Command says that SpaceX’s first direct launch to geosynchronous orbit was a “simply outstanding” success, safely deploying several satellites more than 36,000 kilometers (~22,400 mi) above the Earth’s surface.
The success of the US Space Force’s USSF-44 mission means that SpaceX’s Falcon Heavy rocket is now one of just a handful of operational rockets in the world that has demonstrated the ability to launch satellites directly to geosynchronous orbit. More importantly, it’s one of just three US rockets with that established capability. The other two rockets – ULA’s Atlas V and Delta IV – will cease to be available for US military missions by the end of 2023, meaning that Falcon Heavy may briefly become the only rocket in the world able to launch certain US military missions until ULA’s next-generation Vulcan rocket is ready to prove itself.
SpaceX’s Falcon Heavy has continued a streak of successful dual-booster landings during its first attempted launch directly to geosynchronous orbit, a mission that was also the rocket’s first launch in more than three years.
Known as USSF-44 and initially scheduled to launch more than two years ago, the US Space Force mission finally lifted off on November 1st, 2022 after relentless payload delays. By mid-2021, the hardware required for SpaceX’s first Falcon Heavy launch since June 2019 – mainly three new first-stage boosters – had finished qualification testing and been shipped to Florida in anticipation of a late-2021 or early-2022 launch. That launch never came.
Only in November 2022 did most or all of USSF-44’s payloads finally come together, resulting in a gap of more than 40 months between Falcon Heavy launches as practically every other payload assigned to the rocket in the interim experience their own significant delays. Regardless, on November 1st, Falcon Heavy lifted off for the fourth time and performed flawlessly for the nine minutes the US Space Force allowed SpaceX’s webcast to continue.
Over the course of those nine minutes, Falcon Heavy’s twin side boosters – both flying for the first time – helped send the rest of the rocket on its way to space before separating from the center core, upper stage, and payload to boost back towards the Florida coast. Less than eight minutes after liftoff, they safely touched down seconds apart at SpaceX’s LZ-1 and LZ-2 landing zones. Lacking grid fins or landing legs, Falcon Heavy’s intentionally-expendable center core (middle booster) continued burning for another 90 seconds and only separated from the upper stage after reaching a speed of almost four kilometers per second (8,900 mph) – a new record for a SpaceX rocket booster.
The center core, B1066, was likely obliterated when it reentered Earth’s atmosphere traveling at approximately 50% of orbital velocity. Side boosters B1064 and B1065, however, will be rapidly refurbished for a “future US Space Force mission” that SpaceX – perhaps incorrectly – says could follow USSF-44 as early as “later this year.” Unless SpaceX has received an additional USSF launch contract in secret, the company’s next USSF mission appears to be USSF-67, which the US Space Systems Command reported could launch as early as January 2023 in their latest press release [PDF]. USSF-44 and USSF-67 are technically set to launch in the same US fiscal year but not the same calendar year.
USSF-44 is SpaceX’s first direct geosynchronous launch, meaning that Falcon Heavy is attempting to deliver the US military’s payloads to a circular geosynchronous orbit (GEO) approximately 36,000 kilometers (~22,400 mi) above Earth’s surface. “Geosynchronous” refers to the fact that a spacecraft’s orbital velocity matches Earth’s rotational velocity at that altitude, making it a popular destination for communications and Earth observation satellites that want to observe the same region of Earth all the time. Ordinarily, to simplify the rocket’s job, most GEO-bound satellites are launched into an elliptical geosynchronous or geostationary transfer orbit (GTO) and use their own propulsion to circularize that ellipse.
On a direct-to-GEO launch, the rocket does almost all of the work. After reaching a parking orbit in Low Earth Orbit (LEO), Falcon Heavy’s upper stage likely completed a second burn to geosynchronous transfer orbit. Then, while conducting a complex ballet of thermal management and tank pressure maintenance to prevent all of its cryogenic liquid oxygen (LOx) from boiling into gas and its refined kerosene (RP-1) from freezing into an unusable slush, the upper stage must coast ‘uphill’ for around five or six hours.
Over that journey from an altitude of about 300 kilometers to 36,000 kilometers, in addition to the above tasks, the upper stage must also survive passes through both of Earth’s radiation belts. At apogee, Falcon S2 must reignite its Merlin Vacuum engine for around one or two minutes to reach a circular geosynchronous orbit. Payload deployment will follow and could last anywhere from a few minutes to an hour. Finally, to be a dutiful space tenant, Falcon’s upper stage must complete at least one or two more burns to reach its final destination: a graveyard orbit a few hundred kilometers above GEO.

SpaceX’s third Falcon Heavy launch, a US Air Force mission called STP-2, was a partial dry-run of direct-to-GEO launch – albeit in low Earth orbit (LEO) instead of LEO, GTO, and GEO. During STP-2, Falcon Heavy’s upper stage completed four successful burns in three and a half hours. USSF-44 is significantly more challenging by most measures but not entirely outside of SpaceX’s range of experience. In addition to STP-2, Falcon 9 upper stages have conducted a few long-duration coast tests after completing unrelated primary missions.
In statements made to Spaceflight Now, the US Space Systems Command said that USSF-44’s two main payloads are a pair of propulsive kick stages and payload platforms, one – LDPE-2 – supplied by Northrop Grumman and the other – the “Shepherd Demonstration” – a mystery. LDPE-2 will reportedly carry three hosted payloads and deploy three rideshare satellites: likely two Lockheed Martin LINUSS-A cubesats and Millenium Space Systems’ TETRA-1. All three rideshare satellites are designed to demonstrate various new technologies, ranging from propulsion systems to avionics.
Rewatch SpaceX’s USSF-44 Falcon Heavy launch 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.