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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.
Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.
The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.
Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.
Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.
The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”
This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws… pic.twitter.com/XGD97NHVZ2
— TESLARATI (@Teslarati) March 18, 2026
More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.
We look forward to more details being released with time.
The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.
The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.
These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.
It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.
The Cybertruck avoided every single pedestrian collision, including:
- Daytime child crossing
- Nightitime adult crossing
- Night parallel adult
In IIHS pedestrian front crash prevention tests, @Cybertruck avoided every single collision – daytime, nighttime & different angles
It was also the only pickup to earn Top Safety Pick+ (highest award) in 2026https://t.co/BNPqT9TbsW pic.twitter.com/M6nwDisBFK
— Tesla (@Tesla) June 24, 2026
In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.
Credit: IIHS
Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.
Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.
Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.
Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.
Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.
The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.
Elon Musk
SpaceX’s newest Starmind will make earth data centers obsolete
Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.
Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites
It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.
SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history
Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.
Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.
SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.
The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.
Tesla and driver sued by family of woman killed in Texas crash: what we know
Tesla Cybertruck is officially the safest pickup, IIHS says
