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SpaceX’s massive Falcon Heavy rocket aims for December 29 inaugural launch
Based on information released by NASASpaceflight.com, a highly reliable source of insider details, SpaceX’s first Falcon Heavy rocket could roll out to the LC-39A launch pad before the end of November, less than a month away. While the first roll-out (or two) will be dedicated solely to “Wet Dress Rehearsals” (WDR), this will be the first time the iconic vehicle makes it to the pad, and will be a historic event regardless of what follows.
No earlier than (NET) “late-November”, the first WDR will see Falcon Heavy go through the usual motions of propellant loading while also conducting an array of systems checks and validations to verify that things are proceeding as expected. This first test will not culminate in any sort of hot-fire, and is more intended to verify that the massive rocket is playing well with the modifications made to the launch pad and the Transporter/Erector/Launcher (TEL) that carries it from the integration facilities to the pad. If major issues come up, they will be dealt with and followed by a second identical WDR. If there are no issues with the first WDR, the second rehearsal could smoothly morph into the first static fire of the integrated vehicle.
As Chris Gebhardt of NSF discusses in some detail, the first Falcon Heavy static fire(s) conducted at LC-39A will be of groundbreaking importance, as SpaceX is currently unable to test fully-integrated Falcon Heavy vehicles at its McGregor, Texas facilities due to the rocket’s sheer power. A lot, thus, rests on these first static fires, currently scheduled to begin around December 15th.
Given the distinctly experimental nature of Falcon Heavy’s inaugural launch, specific dates are best taken as general placemarkers, and the actual dates of the first flow depend entirely upon the tests that precede each subsequent step. Nevertheless, the dates provided by NASASpaceflight point to Falcon Heavy’s first static fire on December 15th, followed two weeks later by a tentative launch date of December 29th.
Staying focused on Mars: Is Falcon Heavy necessary?
Even an uncertain launch date of that specificity is still a historic event for Falcon Heavy, long lampooned and straw-manned as an example of SpaceX’s silly pie-in-the-sky claims and Elon Musk’s oversimplification of complex engineering tasks. There is a grain of truth to such contentions, but they tend to miss the point by huge margins. The actual market for mid-level heavy-lift launch vehicles like Falcon Heavy is quite simply too small to be a major motivator for a commercial launch company like SpaceX. One must remember that SpaceX was not founded to be a run-of-the-mill launch provider. The company’s goal, as has been reiterated ad infinitum, is “enabling human life on Mars”, something that has explicitly prefaced every single job posting on the company’s website for more than half a decade.
For a time, it appeared that Falcon Heavy might eventually be used to enable SpaceX’s Red Dragon program, intended to field-test the technologies needed for month-long cruises in deep space and landing large payloads on Mars. However, the program was cancelled earlier this year, in favor of what Musk called “vastly bigger ships”. Indeed, updated Mars plans unveiled on September 29th showed that SpaceX was forging ahead with an updated BFR and BFS, and hopes to fly its first missions to Mars in 2022.

SpaceX’s massive BFR, intended to create and support a human colony on Mars, is visualized taking to the sky. Experience from operating Falcon Heavy will likely benefit BFR once it eventually begins hot-fire testing. (SpaceX)
Falcon Heavy will admittedly become the most powerful operational launch vehicle when it first lifts off in approximately two months, and it will likely retain that title well into 2020, when NASA’s Space Launch System may conduct its first launch. However, regardless of the impressive technological accomplishments it will embody, Falcon Heavy simply is not powerful or affordable enough to ever realistically enable a sustained human presence on Mars. SpaceX does have a small number of customers actively waiting with payloads for Falcon Heavy – its second mission is currently penciled in for June 2018 – and it is reasonable to assume that some or all of those missions will be completed simply out of due diligence. SpaceX may also be motivated to continue the Falcon Heavy program as a possible entrant in a recently-announced USAF competition meant to partially fund the development of multiple US-built heavy-lift launch vehicles.
More simply still, experience derived from igniting and simultaneously operating Falcon Heavy’s 27 Merlin 1D rocket engines will to some extent benefit BFR’s development and operations, as the conceptual vehicle is currently expected to host 31 Raptor engines on its first stage.
- Taken on October 9th by Ted Meyer, this airborne shot shows that LZ-1’s second pad (on the left) is close to completion. (tedwardmeyer/Instagram)
- LZ-1’s operational landing pad has seen hosted multiple successful landings from 2016-2017. (SpaceX)
- The base of the TEL now sports multiple additional launch clamps (large grey protrusions) that will be needed for Falcon Heavy’s three first stage cores. (SpaceX)
Whether Falcon Heavy is to remain a development or production priority for SpaceX after its first several launches is unclear, but the vehicle’s inaugural launch and all subsequent launches are bound to be spectacles to behold. The company’s second Florida-based launch pad, intended to support two simultaneous landings of Falcon Heavy’s side boosters, appears to be nearly complete. At LC-39A, the facility’s TEL already sports major visible modifications necessary for it to operate with Falcon Heavy. All three of the first Heavy’s first stage cores have already completed hot-fire testings in Texas and are now located at Cape Canaveral, awaiting their first integrated tests later this month. Delays to the December 29th launch date are probable, but the various components needed for Falcon Heavy’s first launch have truly come together, and the vehicle’s launch is now simply a matter of “when”. Place your bets!
Elon Musk
Tesla AI Head says future FSD feature has already partially shipped
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.”
News
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.



