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Falcon Heavy's 27 engines on display at 39A. The white material on the left and right engines are indicative of flight-proven boosters. (SpaceX) Falcon Heavy's 27 engines on display at 39A. The white material on the left and right engines are indicative of flight-proven boosters. (SpaceX)

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SpaceX’s Falcon Heavy launch imminent as Elon Musk unveils first photos

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For the first time in SpaceX’s history, the company is close enough to the inaugural launch of its massive Falcon Heavy rocket that the vast majority of the vehicle is already at Cape Canaveral, FL, and all three of its first stages have been mated together.

We know this because Elon Musk took to Instagram and Twitter last night and posted the first-ever real-life photos of the launch vehicle, currently stationed at the Horizaontal Integration Facility (HIF) at SpaceX’s LC-39A launch pad.

At launch, Falcon Heavy will only be surpassed in thrust and payload by the megarockets of the 1960s, the US Saturn V and the Soviet N-1. Best described by an eager employee, Falcon Heavy will have the same thrust as fifteen 747 Jumbo Jets at full throttle, and could nearly carry a fully-loaded 737 passenger jet into low Earth orbit (LEO) in a fully expendable configuration.

Over the past several weeks of inactivity, SpaceX’s pad technicians have been hard at work modifying the LC-39A launch pad and its Transporter/Erector/Launcher (TEL) to support the inaugural launch of Falcon Heavy. This mainly involved considerably upgrading the water deluge system used to muzzle the impact of the sheer sound created at launch, but also required the addition of four more hold-down clamps, necessary to abort a launch after engine ignition. An additional array of communications wiring and umbilical connections for fueling have also likely been added to the TEL in order to support the requirements of what are essentially three simultaneous Falcon 9 launches.

Pad 39A’s TEL undergoing modifications. Hold-down clamps are the grey enclosures seen at the end of the TEL. Note the worker standing in the middle for a sense of scale. (Tom Cross/Teslarati)

A lack of frenetic activity at the pad in the last handful of days suggests that those modifications are nearly complete, and SpaceX fans and followers are now eagerly awaiting the rollback of the TEL to 39A’s integration facilities, where Falcon Heavy will soon after be integrated with the TEL for the first time ever. After this milestones, we can expected Falcon Heavy to be rolled out the pad for what is known as a wet dress rehearsal (WDR), akin to a launch or static fire but without any engine ignition. It’s possible that a bug-free WDR could fluidly transition into the first static fire for the vehicle, but it is probable that SpaceX will take a more cautious approach with this launch campaign. Following the successful completion of the WDR and static fire, Falcon Heavy’s inaugural launch will be imminent. We are potentially no more than 40 days out, the closest SpaceX has ever been to a Falcon Heavy launch.

Of note, the final picture posted by Musk offers an absolutely stunning view of the vehicle’s business end, showing off its 27 Merlin 1D engines and revealing quite obviously that both of Falcon Heavy’s side cores are flight-proven, whereas the center core is new. The photos provided also offer a glimpse of the only component clearly missing, the second stage and its mysterious Tesla Roadster payload. Unconfirmed whispers in the fan community have it on good authority that the Roadster has in fact already been mated to the second stage’s payload adapter, and transport to the Cape and integration with the full Falcon Heavy stack are undoubtedly imminent.

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Possibly most significant of all, Musk suggested that the Roadster payload would be sent on a course to Mars, although it has yet to be concluded whether that will be in the form of a general orbit similar to Mars or an actual trans-Martian injection culminating in an orbit around the Red Planet. The former is far more likely, but the latter would be an extraordinarily impressive test of SpaceX hardware in deep space, a necessary precursor for the company’s goals of interplanetary colonization. Time will tell, and in the meantime we can expect a veritable flood of rocket and payload photos as SpaceX rapidly approaches a historic moment for the company.

Be sure to follow us on Instagram as we go bring you live video and behind the scenes coverage from Cape Canaveral at each SpaceX launch!

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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.

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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.” 

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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. 

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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.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

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

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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.

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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.

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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.

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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.

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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.

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