News
SpaceX’s next-gen Falcon Heavy closer to reality as side booster leaves factory
A duo of rocket spottings on November 9th and 10th confirm that SpaceX’s next Falcon Heavy rocket – an amalgamation of three Falcon 9 boosters, an upper stage, and extensive modifications – is already in the late stages of manufacturing and is nearing the beginning of integrated structural and static fire testing.
As of now, this Falcon Heavy side booster could end up supporting either or both of two near-term launch contracts in place for the rocket, communications satellite Arabsat 6A or the US Air Force’s second Space Test Program (STP-2) launch
SpaceX's second Falcon Heavy is slowly but surely coming together 😀 https://t.co/AYJsQ8Mld5
— Eric Ralph (@13ericralph31) November 13, 2018
The question of the hour – at least for Falcon Heavy – is which of those two available payloads will be atop the rocket on its first truly commercial launch. While suboptimal, a few general characteristics of each payload, SpaceX’s history of commercial launches, and Falcon Heavy itself can offer a hint or two.
Triple the rocket, triple the trouble
Thanks in large part to the fact that the first integrated Falcon Heavy was composed of two relatively old Falcon 9 booster variants and a center core that was quite literally a one-off rocket, the process of reenginering and building another Falcon Heavy rocket off of the family’s newest Block 5 variant has likely been far harder than simply building another Falcon Heavy. Although all three original Falcon Heavy boosters (B1023, B1025, and B1033) were in the same league as Block 5, their Block 2 and Block 3 hardware was designed for approximately 10% less thrust and are almost entirely different vehicles from the perspective of structures and avionics.
Perhaps even more importantly, it’s unknown whether Falcon Heavy Block 1 (for lack of a better descriptor) was designed with serious reusability in mind, at least in the same sense as Falcon 9 Block 5 was. For instance, a major portion of the rocket’s extreme complexity and difficulties lies in the basic need to transmit three times as much thrust through the center core. To do that and do it without rocket-powered separation mechanisms, SpaceX had to develop structural attachments and connections capable of surviving unbelievable mechanical and thermal stresses for minutes on end.
-
- The first Falcon Heavy was a Frankenstein’s monster of sorts. (SpaceX)
-
- Falcon Heavy is seen here lifting off during its spectacular launch debut. (SpaceX)
-
- A Falcon Heavy side booster was spotted eastbound in Arizona on November 10th. (Reddit – beast-sam)
Clearly, this was an unfathomably difficult problem to solve in such a manner that Falcon Heavy would work at all the first time. Factor in the strategic need for those same components to survive repeated cycles of those stresses with minimal refurbishment in between and the problem at hand likely becomes a magnitude more difficult, at least. In large part, this helps to explain why there will end up being a minimum of 11-12 months between Falcon Heavy’s first and second launches.
Arabsat or STP?
Over the course of SpaceX’s last 2-3 years of commercial launch activity, the company and its customers have demonstrated time and time again a reliable pattern: commercial customers (in the sense of private entities) are far more willing to take risks with new technologies than SpaceX’s government customers. NASA’s Commercial Resupply Services is the exception for the latter group but also has no Falcon Heavy launch contracts. For Falcon Heavy, there are thus main three options at hand.
- Arabsat 6A launches first with 1-2 flight-proven boosters; the Air Force’s STP-2 mission flies on an all-new Falcon Heavy 4-6 months later.
- SpaceX builds entirely new Falcon Heavy rockets for both customers, requiring four new side boosters and two new center cores.
- STP-2 launches first on an all-new Falcon Heavy; Arabsat 6A launches second on the first flight-proven Falcon Heavy after 6+ months of additional delays.
-
- The USAF’s STP-2, a combination of a few dozen different satellites. (USAF)
-
- The communications satellite Arabsat-6A. (Lockheed Martin)
-
- LZ-1 and LZ-2, circa February 2018. (SpaceX)
-
- A closeup of one of Falcon Heavy’s side boosters after landing. (SpaceX)
Arabsat is far more likely to accept – for a significant discount – a ride aboard the first flight-proven Falcon Heavy, especially if it means preventing more major launch delays. If the Falcon Heavy side booster spotted eastbound last week is a refurbished Block 5 booster rather than a new rocket, than option 1 is the easy choice for most probable outcome. The real pack leader for Falcon Heavy Flight 2, however, will be the completion of a new Block 5 center core and its shipment to Texas for structural and static fire testing.
Time will tell. For now, a completed Falcon Heavy side booster is the best sign yet that SpaceX may manage the rocket’s second launch in the first quarter of 2019, whichever launch that may be.
Elon Musk
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
Elon Musk’s xAI plans to pour more than $20 billion into a massive new data center campus in Southaven, Mississippi, marking the largest single economic development project in the state’s history.
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
xAI goes MACROHARDRR in Mississippi
xAI has acquired and is retrofitting an existing facility in Southaven to serve as a new data center, which will be known as “MACROHARDRR.” The site sits near a recently acquired power plant and close to one of xAI’s existing data centers in Tennessee, creating a regional cluster designed to support large-scale AI training and inference.
Once completed, the Southaven facility is expected to push the company’s total computing capacity to nearly 2 GW, placing it among the most powerful AI compute installations globally. The data center is scheduled to begin operations in February 2026.
Gov. Tate Reeves shared his optimism about the project in a press release. “This record-shattering $20 billion investment is an amazing start to what is sure to be another incredible year for economic development in Mississippi. Today, Elon Musk is bringing xAI to DeSoto County, a project that will transform the region and bring amazing opportunities to its residents for generations. This is the largest economic development project in Mississippi’s history,” he said.
xAI’s broader AI ambitions
To secure the investment, the Mississippi Development Authority approved xAI for its Data Center Incentive program, which provides sales and use tax exemptions on eligible computing hardware and software. The City of Southaven and DeSoto County are also supporting the project through fee-in-lieu agreements aimed at accelerating development timelines and reducing upfront costs.
Founded in 2023 by Elon Musk, xAI develops advanced artificial intelligence systems focused on large-scale reasoning and generative applications. Its flagship product, Grok, is integrated with the social media platform X, alongside a growing suite of APIs for image generation, voice, and autonomous agents, including offerings tailored for government use.
Elon Musk highlighted xAi’s growth and momentum in a comment about the matter. “xAI is scaling at an immeasurable pace — we are building our third massive data center in the greater Memphis area. MACROHARDRR pushes our Colossus training compute to ~2GW – by far the most powerful AI system on Earth. This is insane execution speed by xAI and the state of Mississippi. We are grateful to Governor Reeves for his support of building xAI at warp speed,” Musk said.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.”
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
Tesla AI Head says future FSD feature has already partially shipped
