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SpaceX’s fifth Falcon Heavy launch on track for Sunday liftoff
Update: SpaceX’s fifth Falcon Heavy launch is on track to launch as early as 5:56 pm EST (22:56 UTC), Sunday, January 15th. Tune in below around 5:40 pm EST (22:40 UTC) to watch the potentially spectacular launch live.
If Falcon Heavy does launch shortly after sunset, it could put on a spectacular show, lighting up the twilight skies for hundreds of miles up and down the East Coast.
The fifth Falcon Heavy rolled out of SpaceX’s Kennedy Space Center Pad 39A integration hangar on January 9th and went vertical early on January 10th. 12 hours later, it was loaded with ~1500 tons (~3.3 million lbs) of liquid oxygen and kerosene propellant and ignited for about eight seconds. SpaceX uses static fire tests more liberally than most other launch providers to try to ensure that all systems – propulsion included – are cooperating before liftoff.
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
At full throttle, Falcon Heavy Block 5’s 27 Merlin 1D engines – nine per Falcon 9-derived booster – can produce 2326 tons (5.13 million lbf) of thrust at sea level, making it the most powerful privately-developed rocket in history. In terms of performance, Falcon Heavy is the fifth most capable rocket ever built and is second only to NASA’s Space Launch System (SLS) today. While the records of N1, Saturn V, and Energia still stand, all three were retired decades ago.
As is the norm for a rocket with as little experience as Falcon Heavy, SpaceX conducted the static fire test without the USSF-67 payload installed. Like USSF-44, a virtually identical Falcon Heavy launch with similar payloads that launched on November 1st, 2022, SpaceX needs to roll the USSF-67 rocket back to the hangar for fairing installation. During USSF-44, SpaceX took approximately 110 hours to go from static fire to liftoff.
USSF-67’s static fire occurred about 100-104 hours before its scheduled liftoff, meaning that SpaceX only needs to be about 5% more efficient to be ready to launch on Saturday, January 14th. Assuming Falcon Heavy returns to the hangar and rolls back to the pad about as quickly as USSF-44, the odds of a Saturday launch are decent.
SpaceX’s second direct GEO launch
Like USSF-44, Falcon Heavy will sacrifice one of its three boosters (the center core) to launch USSF-67 directly to a circular geosynchronous orbit ~35,800 kilometers (~22,250 mi) above Earth’s surface. A satellite operating at GSO will never stray from the same region of Earth, making it useful for communications and surveillance. Getting there, however, can be exceptionally difficult.
“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 will complete a second burn to reach GTO. 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.
During that journey from 300 kilometers to 35,800 kilometers, the upper stage must also survive passes through both of Earth’s Van Allen radiation belts. At apogee, Falcon S2 must reignite its Merlin Vacuum engine for a minute or two to reach a circular GSO. Payload deployment follows soon after and could last anywhere from a few minutes to hours. Finally, to be a dutiful space tenant, Falcon’s upper stage must complete at least one more burn to reach a graveyard orbit a few hundred kilometers above GEO.”
Teslarati.com – November 1st, 2023
The USSF-67 payload is mostly a mystery. Like USSF-44, it will carry a Northrop Grumman LDPE (Long Duration Propulsive EELV) with several unspecified rideshare payloads. LPDE is a transfer vehicle capable of deploying small satellites into customized orbits and hosting payloads for months in space.
The US Space Systems Command says [PDF] that “LDPE provides critical data to inform future Space Force programs” and that “the unique experiments and prototype payloads hosted on LDPE-3A [will] advance warfighting capabilities in the areas of on-orbit threat assessment, space hazard detection, and space domain awareness.”
Stay tuned for updates on USSF-67’s launch schedule and SpaceX’s official webcast.
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
