Connect with us

News

A SpaceX surprise: Falcon Heavy booster landing to smash distance record

Falcon Heavy center core B1055 landed aboard drone ship OCISLY nearly 970 km (600 mi) off the coast of Florida. Center core B1057 could smash that record by almost 30% on June 24th. (SpaceX)

Published

on

In an unexpected last-second change, SpaceX has moved Falcon Heavy Flight 3’s center core landing on drone ship Of Course I Still Love You (OCISLY) from 40 km to more than 1240 km (770 mi) off the coast of Florida.

Drone ship OCISLY is already being towed to the landing site, necessary due to the sheer distance that needs to be covered at a leisurely towing pace. The current record for distance traveled during booster recovery was set at ~970 km by Falcon Heavy center core B1055 in April 2019. If successful, Falcon Heavy center core B1057 will smash that record by almost 30% after sending two dozen spacecraft on their way to orbit. Falcon Heavy Flight 3 is scheduled to lift off in support of the Department of Defense’s Space Test Program 2 (STP-2) mission no earlier than 11:30 pm ET (03:30 UTC), June 24th. A routine static fire test at Pad 39A will (hopefully) set the stage for launch on Wednesday, June 19th.

This comes as a significant surprise for several reasons. First and foremost, the difference between a center core landing 40 km or 1300 km from the launch site is immense. For Falcon Heavy, the center core shuts down and separates from the rest of the rocket as much as a minute after the rocket’s two side boosters, potentially doubling the booster’s relative velocity at separation.

USAF photographer James Rainier's remote camera captured this spectacular view of Falcon Heavy Block 5 side boosters B1052 and B1053 returning to SpaceX Landing Zones 1 and 2. (USAF - James Rainier)
A return to launch site (RTLS) booster recovery requires a ton of latent performance, particularly for a booster traveling as fast as a Falcon Heavy center core. (USAF – James Rainier)

That extra minute of acceleration means that the center core can easily be 50-100+ km downrange at the point of separation. In other words, landing 40 km offshore aboard drone ship OCISLY would be roughly akin to a full boostback burn, meaning that the center core would need to nullify all of its substantial downrange velocity, turn around, and fly ~50-100 km back towards the launch site. Being able to perform such an aggressive maneuver would indicate that Falcon Heavy’s boost stage has a huge amount of propellant (delta V) remaining after completing its role in the launch.

To have STP-2’s center core recovery moved from 40 km to 1240 km thus indicates an absolutely massive change in the rocket’s mission plan and launch trajectory. For reference, Falcon Heavy Flight 2’s Block 5 center core (B1055) set SpaceX’s current record for recovery distance (970 km/600 mi) after launching Arabsat 6A – a massive ~6500 kg (14,300 lb) satellite – to a spectacularly high transfer orbit of >90,000 km (56,000 mi).

Why so spicy?

There are three obvious possibilities that might help explain why the STP-2 mission has abruptly indicated that it will require SpaceX’s most energetic booster recovery yet.

1. STP-2 is carrying at least 1-2 metric tons worth of mystery payload(s)

This is highly unlikely. The USAF SMC has already released a SpaceX photo showing the late stages of the STP-2 payload stack’s encapsulation inside Falcon Heavy’s payload fairing. Short of an elaborate faked encapsulation followed by the installation of additional mysterious spacecraft or some extremely dense hardware hidden inside, it’s safe to say that the STP-2 payload stack weighs what the USAF says it weighs, which is to say not nearly heavy enough to warrant a record-smashing booster recovery given the known orbital destinations.

The USAF further confirmed that there is no ballast on the stack, removing the possibility of a lead weight or steel boilerplate meant to artificially push Falcon Heavy to its limits.

Advertisement
-->

2. STP-2’s already-challenging Falcon upper stage mission profile is even more exotic than described

Per official mission overviews, it’s already clear that STP-2 could be the most challenging launch ever attempted for SpaceX’s orbital Falcon upper stage. According to SpaceX itself, “STP-2…will be among the most challenging launches in SpaceX history, with four separate upper-stage engine burns, three separate deployment orbits, a final propulsive passivation maneuver, and a total mission duration of over six hours.”

An overview of the STP-2 Falcon Heavy upper stage’s exotic and extremely challenging mission profile. (USAF)

While undeniably challenging, it’s not clear why it would require such a high-energy center core recovery. With a payload mass of just ~3700 kg, Falcon 9 has launched much larger payloads to (relatively) higher orbits, but this fails to account for the added challenge of long coasts and multiple different orbits. Also of note, the above graph (courtesy of a years-old USAF document) appears to disagree with SpaceX’s description of “four… upper-stage burns”, instead showing five burns (red spikes).

More likely than not, OCISLY’s ~1200-kilometer move can be explained largely by the reintroduction of what the above graph describes as the Falcon upper stage’s “disposal burn”, likely referring to a deorbit burn. On top of the delta V already required for the first four burns, it isn’t out of the question that an additional coast and deorbit burn from 6000 km (3700 mi) would push the recovery equation in favor of attempting to incinerate center core B1057.

Falcon Heavy’s upper stage deploys its payload fairing, revealing the STP-2 payload stack. (SpaceX)

3. USAF/DoD conservatism strikes again?

The last plausible explanation for this radical shift is that the US Air Force/Department of Defense (DoD) has decided last-second that they want more margins on top of their already-overflowing safety margins, quite literally pushing B1057 to the edge of its performance envelope to mitigate low-probability failure modes. This has been done to an even more extreme extent with the US Air Force’s recent GPS III SV01 launch, in which SpaceX was forced to expend a new Falcon 9 Block 5 booster to provide the extreme safety margins the USAF desired.

According to the USAF, the STP-2 mission – including launch costs – represents as much as $750M, coincidentally similar to the estimated cost of the GPS III SV01 satellite and an expendable Falcon 9 rocket. As such, it’s not out of the question that a similar level of paranoia/conservatism is in play for STP-2.

Falcon 9 lifts off with the US Air Force’s first ~$500M GPS III spacecraft, December 2018. (SpaceX)

Numbers 2 and 3 are equally plausible explanations for this last-second booster recovery shift. Given the US military’s active involvement, it’s more likely than not that no explanations will be offered. Regardless, this surprise development is bound to result in a truly spectacular recovery attempt for SpaceX’s second Block 5 center core and will likely involve breaking several still-fresh records in the process.

Falcon Heavy Flight 3 is in the middle of rolling out to SpaceX’s Kennedy Space Center Pad 39A launch facilities for a routine pre-launch static fire test, scheduled to occur no earlier than 12:30 pm ET (16:30 UTC), June 19th. If all goes well, SpaceX should be on track for its first STP-2 launch attempt at 11:30 pm ET (03:30 UTC), June 24th.

Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.

Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

Advertisement
Comments

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.” 

Published

on

Credit: @BLKMDL3/X

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. 

Advertisement
-->

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.”

Continue Reading

News

Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Published

on

Credit: Tesla China

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.

Advertisement
-->

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.

Continue Reading

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.

Published

on

Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

Advertisement
-->

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.

Continue Reading