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What’s causing SpaceX’s Falcon Heavy delays?
Although uncertainty in the schedule remains, SpaceX’s Falcon Heavy rocket appears to be nearly ready for its first engine ignition test (called a ‘static fire’) sometime within the next week or so.
An attempt at 1 PM EST today, January 16, was canceled for unspecified reasons, although Kennedy Space Center reportedly maintained the usual roadblock to prevent vehicles from driving past, implying that SpaceX still intends to conduct propellant loading tests with Falcon Heavy. It was noted earlier this morning by spaceflight journalist Chris Bergin that things were “a bit too quiet” if a test was indeed planned for today, and his intuition appears to have been correct. It still remains the case that Falcon Heavy is an experimental and untested rocket to an extent, and these delays are to be expected as SpaceX works out the inevitable kinks and bugs that arise during the extensive testing big launch vehicle has been and is still being put through.
KSC is in roadblock stance, so they will still do some testing it would seem, but we will have to wait for the Static Fire itself. https://t.co/DxzsRn85NR
— NSF – NASASpaceflight.com (@NASASpaceflight) January 16, 2018
Due to range requirements in support of an upcoming launch of the United Launch Alliance’s (ULA) Atlas 5 rocket, currently NET Thursday, SpaceX has postponed the static fire of Falcon Heavy without a replacement date. It is unlikely that another attempt will occur before the upcoming weekend, but SpaceX should have at least a solid week of uninterrupted range support once ULA’s launch occurs, hopefully without delay. Godspeed to ULA, in the meantime.
The crazy complexity of rocketry
Most recently, and perhaps somewhat related to Falcon Heavy’s static fire delays, SpaceX completed as many as two complete wet dress rehearsals (WDRs), which saw Falcon Heavy topped off with full tanks of its cryogenic (super cool) liquid oxygen (LOX) and rocket-grade jet fuel (RP-1). In essence, the rocket became equivalent to several hundred tons of carefully stabilized explosive. Nominally, these rehearsals appear entirely uneventful to an outside observer, with little more than ice formation and the occasional bursts of propellant tank vents to suggest that something important is occurring. However, anomalies like the failure of Falcon 9 during the Amos-6 static fire provide a staggering demonstration of just how explosive and sensitive a rocket’s fuel is, and Falcon Heavy has approximately three times the fuel capacity of Falcon 9. Empty, Falcon 9’s mass has been estimated to be around 30 metric tons, a minuscule amount of structure in the face of the more than 500 metric tons of propellant the vehicle carries at liftoff.
These propellant loading tests can also be challenging for reasons aside from their highly explosive nature. Due to basic realities of the physical nature of metal, the predominate ingredient for Falcon 9’s load-bearing structures, metallic structures shrink under extreme cold (and expand under heating). In the case of Falcon 9’s massive 45 meters (150 foot) tall first stage, the scale of this contraction can be on the order of several inches or more, particularly given SpaceX’s predilection towards cooling their propellant as much as possible to increase its energy density. For Falcon 9, these issues (thermodynamic loads) are less severe. However, add in three relatively different first stage boosters linked together with several extremely strong supports at both their tops and bottoms and that dynamic loading can become a fickle beast. The expansion or compression of materials due to temperature changes can create absolutely astounding amounts of pressure – if you’ve ever forgotten a glass bottled drink in the freezer and discovered it violently exploded at some future point, you’ll have experienced this yourself.
With several inches of freedom and the possibility that each Falcon Heavy booster might contract or expand slightly differently, these forces could understandably wreak havoc with the high precision necessary for the huge rocket to properly connect with the launch pad’s ground systems that transmit propellant, fluids, and telemetry back and forth. Information from two reliable Kennedy Space Center sources experienced with the reality of operating rockets, as well as NASASpaceflight.com, suggested that issues with dynamic loads (such as those created by thermal contraction/expansion) are a likely explanation for the delays, further evidenced by their observations that much of the pad crew’s attention appeared to be focused at the base of Transporter/Erector/Launcher (TEL). The TEL base hosts the clamps that hold the rocket down during static fires and launches, as well as the Tail Service Masts (TSMs) that connect with the Falcon 9/Heavy to transport propellant and data to the first stage(s). These connection points are both relatively tiny, mechanically sensitive, and absolutely critical for the successful operation of the rocket, and thus are a logical point of failure in the event of off-nominal or unpredicted levels of dynamic stresses.
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- The white bars in this photo are half of Falcon Heavy’s seperation mechanism. A number of actuators take the place of the more common solid rocket motors used with vehicles like the Delta IV Heavy. (SpaceX)
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- Falcon Heavy’s three boosters and 27 Merlin 1D engines on full display. (SpaceX)
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- Falcon Heavy. Modeled and rendered by NASASpaceflight forum user WBY1984. (WBY1984)
Test, launch, land, repeat.
All things considered, these difficulties demonstrate that even after months (even years) of relentless modeling, testing, remodeling, and retesting, rockets (and especially huge rockets like Falcon Heavy) are immensely complex, and even tiny mistakes can lead the vehicle to stray from its expected behavior. Quite simply, the reality of engineering only truly comes into play once hardware is fully in the loop, and it’s in this state that SpaceX has demonstrated again and again a distinct and elegant ability to learn from their hardware, rather than attempt to salve uncertainty with a neurotic and counterproductive level of statistical analysis, modelling, and documentation. The agile launch company still dabbles in those aspects when beneficial or necessary, but testing comes first in its importance.
The conclusion here, then, is that Falcon Heavy’s delays betray this aspect of SpaceX – a launch company that loves its fans, but also understands the need for cautious testing when it comes to new and untried rocket hardware. Whether Falcon Heavy succeeds or fails, SpaceX will learn from the proceedings, and they will be better off for it (although maybe less so financially…).
Follow along live as launch photographer Tom Cross and I cover these exciting proceedings as close to live as possible.
Teslarati – Instagram – Twitter
Tom Cross – Instagram
Eric Ralph – Twitter
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
