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NASA to livestream first Mars landing in six years on November 26 with InSight lander
On Monday, November 26, 2018, a Mars lander will arrive on the surface of the red planet for the first time in six years, and NASA will broadcast the event live on their TV channel and website. The craft’s name is “InSight”, and it’s scheduled to complete its journey begun May 5, 2018 on an Atlas V rocket by setting down onto Martian regolith at approximately 3 pm EST. A video stream of Mission Control at the Jet Propulsion Laboratory in California will be available where viewers can listen to live landing commentary. InSight’s descent itself will not have a video component; however, photographs of the craft while parachuting and shortly after landing may be transmitted.
Truly enjoyed the experience of my first AtlasV launch, and all the excitement surrounding this incredible mission! Rather surprised my remote cams survived AND managed to capture *anything* in that totally rude fog. 🙂 Here are a couple shots. @NASAInSight @ulalaunch pic.twitter.com/XEH4zBLWpu
— Pauline Acalin (@w00ki33) May 5, 2018
InSight’s name is short for “Interior Exploration using Seismic Investigations, Geodesy and Heat Transport”, and as the name implies, its mission is to collect seismographic data from the surface of Mars in order to gather information about the planet’s core. The lander has six instruments on board that will propogate seismic waves through Mars’s interior after hammering a probe about 10-16 feet into the ground, a process which will take about 2-3 months to complete. The vibrations measured at the surface will then be measured and interpreted to reveal details about its layers and, by extension, the early formation of both it and Earth.
Unlike a rocket launch where delays are always possible, you can safely mark your calendar for this event. NASA can’t change this date even if they wanted to thanks to the physics involved in the lander’s interplanetary flight. If you’re interested in celebrating InSight’s Martian arrival in a community setting, watch parties open to the public are planned at scientific facilities and libraries around the world.
InSight in a clean room at Vandenberg AFB in California. | Credit: Pauline Acalin
Viewers of the live streamed landing will hear updates from scientists as they track InSight’s journey from a fiery entry speed of 12,300 mph to a 5 mph landing speed. Drag against the craft’s heat shield, parachutes, and retrorockets will slow its descent. The mission’s scientists hope to receive an image of the Martian surface shortly after, but they’ve cautioned that the initial photos will likely be cloudy due to dust kicked up from the event.
InSight will land in Mars’s Elysium Planitia (“the biggest parking lot on Mars”), an area near the planet’s equator. Its closest Earth-sent neighbor, the Curiosity rover, will be 240 miles away, and twin rovers Spirit and Opportunity will be located 1,600 and 5,200 miles away, respectively. Once on the surface, InSight’s first steps will be to unpack and deploy its solar panels to ensure power for the rest of its instruments.
The solar panels will provide about 600-700 watts on a clear Martian day, 200-300 during dustier conditions. For more perspective on this power source, NASA’s press release likened its maximum wattage to the requirements of a household blender (500 watts). The amount of energy converted just falls short of running a coffee machine (1000 watts), but plenty to “wake up” the lander after sleep, even if not a human.
As a bonus for space fans, InSight did not set out on its interplanetary mission alone. Twin demonstration mini satellites named “Mars Cube One” (MarCO) launched with the lander and traveled separately to the planet. Along with having completed successful radio, antennae, steering, and propulsion tests during their journey, MarCo will test a new kind of data relay from Mars orbit during InSight’s descent to the surface. InSight will not depend on successful transmissions to and from MarCo to land.
MarCO also marks the first deep space mission for a type of tiny satellite called “CubeSats”, a class characterized by a small form factor and miniaturized technologies that are often commercial, off-the-shelf components. MarCO fits this category and each satellite is about the size of a briefcase. The significantly lower development and launch costs of CubeSats compared to larger satellites have already opened space science to students and limited budget commercial initiatives. The success of MarCO in the deep space environment will now potentially open up interplanetary exploration beyond government agencies to encompass more civilian initiatives.
Watch NASA’s video below to learn more about the lander:
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
