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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.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
