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SpaceX Falcon Heavy to launch Elon Musk’s Tesla Roadster into Mars orbit
While it initially appeared to be an Ambien-induced Twitter troll from the famous CEO, Elon Musk has announced that the inaugural launch of SpaceX’s Falcon Heavy, now aiming for January 2018, will carry his personal cherry red Tesla Roadster as cargo.
Musk’s classic embellishments and hyperbole triggered some understandable skepticism, claiming that the Tesla would head to Mars while playing David Bowie’s “Space Oddity,” and would remain in deep space for “a billion years” if it survived the launch.
Payload will be my midnight cherry Tesla Roadster playing Space Oddity. Destination is Mars orbit. Will be in deep space for a billion years or so if it doesn’t blow up on ascent.
— Elon Musk (@elonmusk) December 2, 2017
While the Mars and “Space Oddity” aspects have yet to be verified, SpaceX’s head of new product introduction, Joy Dunn, subtweeted Musk’s original announcement, assuaging any doubts about the claim’s legitimacy. Much remains unknown, but the information from Dunn and Musk points to a humorous heavy payload being placed into a high Earth orbit, if not on a trajectory to Mars, and will feature plenty of camera coverage in space.
@beeberunner @nextspaceflight oh this is legit and of course there will be cameras!
— Darby Dunn (@RocketJoy) December 2, 2017
In all fairness, sending a Roadster to Mars would be par for the course for Musk and SpaceX, who in a frankly underappreciated turn of events sent a massive wheel of cheese into orbit with the first launch of a Dragon spacecraft.
SpaceX intends to attempt recovery of all three first stages of the first Falcon Heavy, with the two side boosters landing at Cape Canaveral’s LZ-1, and the center core landing aboard the Of Course I Still Love You droneship. The attempted recovery of all three cores would appear to preclude the possibility of a Mars mission, as it is understood that Falcon Heavy’s payload to Mars in its fully reusable configuration would be ~4000kg. Sending a 1500kg Roadster, especially one stripped of its battery, is still within the realm of possibility, but the burden would be on Falcon 9’s second stage to survive the several month long coast period between Earth and Mars.
Elon Musk with a comical grin while sitting in his red Tesla Roadster. (SFGate)
In the meantime, we can speculate with all due haste as to what the first space-faring Tesla Roadster (confirmed to be Roadster 1.0) will carry on its exceptional journey.
One can imagine that the footage garnered along the way would be all the advertising material Tesla could ever possibly need for the indefinite future, particularly for the company’s next generation Roadster.
Many giddy Twitter and Reddit users almost immediately let loose a stream of potential ridiculous slogans: “the first production car to orbit Mars,” “new Tesla Roadster upgrade has a range of 54 million kilometers,” “Fastest production car,” etcetera. Comic relief aside, the sheer shock value of orbital sunrise or even Mars from the cockpit of a Tesla Roadster certainly can’t be denied outright, even if the absurdity is rather high.
Time will tell if SpaceX has chosen to risk a more productive use of Falcon Heavy’s inaugural launch, perhaps as soon as next month. While it was later removed at the request of SpaceX, a photo taken Thursday by California-based space journalist Sandy Mazza showed Falcon Heavy’s second stage and all three first stage boosters preparing for launch inside the Horizontal Integration Facility (HIF) at LC-39A. The public will almost undoubtedly get its first view of an integrated Falcon Heavy within the next few weeks, certainly before Christmas if things go as planned.
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
