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SpaceX’s Elon Musk and his plans to send 1 million people to Mars
Elon Musk has big plans for Mars and it’s no secret that the SpaceX founder and CEO envisions a future where humans inhabit more than one planet, but how do we get there?
In a series of tweets, Musk outlined a plan to build a city on Mars by 2050, and fill it with 1 million people.
That may seem a bit outlandish but here’s how it would work.
SpaceX operates a fleet of Falcon 9 rockets that routinely launch and land, depositing satellites, cargo and soon people into space. However, in order to reach Mars, Musk and SpaceX need an even larger, more powerful rocket. That’s where Starship comes in.
In stark contrast to the classic black-and-white paint scheme of the Falcon family of rockets, Starship sports a shiny, stainless steel skin that gives off a futuristic vibe. And in true SpaceX fashion, the 387-foot ship will be reusable.
Starship, which is currently in development for future deep-space travel, will be able to ferry as many as 100 passengers beyond low-Earth orbit. The way to achieving that goal is by reducing the cost of spaceflight. He would like for anyone who wants to go to Mars, to be able to.
“Needs to be such that anyone can go if they want, with loans available for those who don’t have money,” Musk wrote.
To that end, Musk said he wants to build a fleet of at least 1,000 Starships—and launch at least three of them every day.
The Starship system is the latest in SpaceX’s troupe of increasingly larger rockets. In 2018, the California-based aerospace company launched and landed its Falcon Heavy rocket for the first time, generating 5 million pounds of thrust from the rocket’s 27 engines. But even that’s not powerful enough for Mars-based missions.
“Megatons per year to orbit are needed for life to become multi-planetary,” Musk tweeted on Thursday.
To date, the heaviest payload to successfully land on Mars was the Curiosity rover, which touched down on the red planet in 2012. That rover weighed in at 1 metric ton (2,200 lbs.). Much heavier payloads will be required if a city is to build on Mars. NASA, SpaceX and others around the world are currently working on ways to land even larger payloads.
Starship is one method currently in development. Combined with its Super Heavy booster would be powered by 41 next-generation Raptor engines, making it the most powerful launch system ever created—even more powerful than the Saturn V moon rocket. Each launch would pack enough thrust to send more than 100 tons (equivalent to seven fully loaded school buses’ worth of mass) and 100 people into orbit at a time.
But the ship would also be able to navigate the tenuous Martian atmosphere and land safely on the red planet’s surface.
Musk estimates that a fleet of 1,000 Starships, able to tote 100 megatons of stuff to Mars, would be required to build a permanent settlement. That fleet could transport about 100 passengers each, totaling 100,000 people per year.
Musk said a lot of work still needs to be done, especially in regards to propellant production. The Raptor engines Musk plans on using are powered by methane (as opposed to the Kerosene and liquid oxygen that power SpaceX’s Falcon series).
Mars has a generous supply of methane, which Musk hopes could be used to establish refueling depots on the red planet.
There’s a lot of work to do if humanity is to reach Mars. SpaceX is currently working around the clock to build its next prototype of the Starship spacecraft. (The previous mockup exploded during testing, but did prove that the craft could get off the ground.)
If all goes well with this iteration, we may see a Starship prototype fly again soon.
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
