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SpaceX Falcon Heavy spied on the move ahead of test fire
While touring Florida’s Kennedy Space Center by bus earlier this morning (January 8), several spaceflight fans captured SpaceX’s Falcon Heavy rolling out to Pad 39A for the second time ever. Following a basic fit check and photo opportunity at the launch pad in the last week of 2017, the launch vehicle now appears to be prepped and ready for its first wet dress rehearsal (WDR) and static fire test.
If all goes well during the wet dress rehearsal’s propellant loading tests, an admittedly less than guaranteed outcome, then the WDR will likely translate into a momentous occasion for the massive rocket: the first-ever simultaneous ignition of all three of its integrated first stages and their 27 Merlin 1D engines. While relatively unique to SpaceX, the company has made a habit of testing each and every new Falcon 9 first stage with two full-up static fire ignitions, one at McGregor, Texas and the other at the vehicle’s given launch pad. Following the destructive failure of Falcon 9 during a September 2016 static fire test, SpaceX further upped their cautious procedures by removing the payload for all future static fires, lest the customer request that it remain integrated for the sake of time savings.
Unsurprisingly, no customers have since chosen to bypass SpaceX’s new risk-reducing procedures. Falcon Heavy will clearly be a return to older methods, delineated by the clear presence of the second stage and Tesla Roadster payload at its top, although this decision was almost undoubtedly driven by the fact that the payload is in no real way valuable or even important for the “customer,” SpaceX itself. The Tesla Roadster is more or less a stand-in for the traditional boilerplate satellite (read: hunk of dead metal) often launched during the inaugural flights of new rockets. The best recent example is the 2004 inaugural launch of Boeing’s Delta IV Heavy rocket, similar to Falcon Heavy in the sense that it also features a triple-core first stage. Its first launch carried a payload that was quite literally a 6000 kg (13500 lb) piece of metal paired with a number of sensors used to gather vibrational data.
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- A GIF of Delta IV Heavy’s inaugural 2004 launch. The mission was a partial failure. (ULA)
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- The mission’s DemoSat, a 6100kg hunk of metal (and two DoD nanosats). (ULA)
Somewhat fittingly, Delta IV Heavy is aiming to conduct its own launch within the next week or so, providing the East Coast with back to back launches of the world’s two largest operational rockets. Still, as SpaceX and Elon Musk have repeatedly mentioned, Falcon Heavy is far more capable than even Delta IV Heavy: while Falcon Heavy is noticeably shorter, narrower, and thinner than Delta, it weighs almost twice as much and will sport nearly 2.5 times the thrust at liftoff.
Delta IV Heavy’s launches are undoubtedly spectacles to behold, particularly given explosive launch procedures, but the vehicle is entirely expendable, whereas Falcon Heavy will attempt recovery of all three of its first stages, and may eventually allow SpaceX to test technology that will enable second stage recovery, as well.
Falcon Heavy will launch a somewhat livelier version of Delta IV Heavy’s boilerplate mass-simulator with the Tesla Roadster, and the main goal is quite clearly to test the vehicle’s ability to send a payload into a trans-Martian injection (TMI) orbit, albeit likely without an actual injection into orbit around Mars at the other end. Even if the payload is somewhat silly, a successful launch to TMI would be the most literal step yet made by the commercial space company along its path to Mars. If this week’s propellant loading and static fire go as planned, launch will likely follow within a week or so – maybe two weeks given the new and unpredictable nature of testing what is more or less a prototype rocket.
Falcon Heavy goes vertical pic.twitter.com/uG1k0WISv1
— Elon Musk (@elonmusk) January 5, 2018
Falcon Heavy can be expected to go vertical at the pad within the next 12-24 hours at most, and static fire will follow soon after. After a highly successful evening photographing the January 7 launch of Falcon 9 with Zuma, Teslarati’s launch photographer Tom Cross will be attempting to photograph the momentous test fire as it happens, and you can follow along live on Teslarati’s Instagram.
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.”
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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.
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.
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.
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.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
