News
First sounds of wind on Mars captured by NASA’s Insight Lander
This fresh in from the Elysium Planitia of Mars: the sound of wind from an alien world. On its 10th day as a new resident of the red planet, NASA’s InSight lander’s pressure sensor transmitted air vibration data from its trembling solar panels, representing a steady breeze about 99 million miles away. The combination of photos sent back from the craft with the sound of Martian wind gives Earth residents a unique moment to feel like they’ve joined the craft themselves. “It’s fun to imagine that I’m there,” mused Don Banfield during a JPL media teleconference discussing the recording. Banfield is InSight’s Auxiliary Payload Sensor Subsystem (APSS) Science Lead.
InSight, short for “Interior Exploration using Seismic Investigations, Geodesy and Heat Transport”, launched aboard an Atlas V rocket on May 5, 2018 and successfully landed on the Martian surface on November 26, 2018. The craft is a seismic investigator sent to study the red planet’s core, eventually drilling 10-16 feet down into its crust to gather geographical data. The craft’s landing event was live streamed online for viewers around the world, greeting Earthlings with a photo of its new home’s surface shortly after. It sent back more photos of the surrounding area prior to the wind recording.
The thin CO2 atmosphere on Mars doesn’t translate high sounds well, so the recorded vibrations from InSight’s pressure sensor are low on the audio spectrum, under 50 Hz, thus difficult to hear. However, after the frequency was increased by a factor of 100 (raised two octaves), it became possible to hear what sounds like a steady wind blowing across the regolith. Dust devils tracked in the area moving across the Martian surface had motion consistent with the wind recordings, thus confirming what was being heard by InSight’s scientists.
The way InSight picks up and translates sound is similar to how a human ear works: Air pressure vibrates the eardrum, then that vibration pattern is sent through the inner ear bones to the cochlea which has tiny hairs translating the vibrations into electrical signals sent to the brain. InSight’s solar panels are like its eardrums, the spacecraft structure itself like its inner ear, its instruments like its cochlear, and its electronic box translating and transmitting signals is like brain. The “sounds” we hear from Mars are translated data from wind-caused vibrations.
Ironically enough, wind noise is actually not a particularly desired outcome from InSight’s instruments. According to the scientists participating in NASA’s teleconference discussing the event, the inlet for the pressure sensor was specifically designed to minimize any chatter from air movement. Also, the placement of InSight’s seismographic gear will be based on the best area to reduce input from the lander’s interaction with the vibrations it’s recording, i.e., the lander’s movement from seismic events. It should be noted, though, the Martian wind gracing our human ears for the first time is only a taste of what’s to come from InSight’s instruments.
Once the wind and thermal shield (the white dome in the photos) has been lifted from the lander in a few weeks, all of InSight’s instruments will be exposed to the Martian environment for data collection. For now, the lander’s Earth-based team is first focusing on understanding the area the craft is in to pick the best place to set its instruments. After the main mission begins, however, a full study of Mars’ atmosphere will be underway and we could hear, among other natural events, the sounds of exploding meteors.
While wind may be a unique sound to hear on an alien world, it’s not the first time a NASA craft has entertained our ears and imaginations. Electromagnetic vibrations have been recorded all across our solar system, perhaps the most famous of which originated from the Voyager 1 spacecraft launched in 1977. The data collected from the craft’s radio-capturing instruments has been converted into audio files – you can even find a full album’s worth of the sounds on a variety of streaming sites. Some of the recordings are meditation-worthy, others a touch unnerving. We humans have additionally added some recordings of our own to space via Voyager’s famous “golden record”, the sounds of which are also available for listening online.
If you’re craving a full Martian soundtrack, you’ll be happy to know that NASA’s Mars 2020 rover is planned to provide just that. It will have two microphones on board, one of which will record the actual landing of the rover. Combined with telemetry data and surface photographs, Mars is on its way to its own documentary with inputs completely provided “on-location”. Stay tuned!
Listen to the Martian wind yourself below:
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
