It turns out that Tesla’s FSD Bet actually does stop for kids and pedestrians as demonstrated in a video with both a mannequin and an actual child. Recently, the founder of the Dawn Project who is also the CEO of Green Hills Software, which makes automated driving systems, Dan O’Dowd, claimed that Tesla’s FSD Beta did not stop for a child-sized mannequin. This led to a mainstream media storm against Tesla and its life-saving technology.
Tesla owner and FSD Beta Tester, @WholeMarsBlog asked if there were anyone in the Bay Area with a child who could run in front of his car while FSD Beta was engaged. Many took this as a joke, however, The Verge published an open letter to @WholeMarsBlog asking him not to do this.
It turned out that there was someone in the Bay Area willing to allow his child to put Tesla’s FSD Beta to the ultimate test. And it should be noted that the person who allowed this was the driver during the test.
In a Twitter DM, @WholeMarsBlog told me:
“Our tests showed that Tesla Full Self-Driving Beta has no problem detecting pedestrians of all ages. As long as the driver is paying attention, which the system ensures, there is no risk to pedestrians even in the event that the software fails to detect them.”
“This is driver assistance and is not expected to be perfect. It sickens me that Dan O’Dowd would push harmful misinformation to benefit himself financially. He should be charged criminally for false advertising, along with any stations that ran his ads. I don’t have millions to spend on ads like Dan, so please share the video on social media so that everyone who saw Dan’s ad can see our test too.”
Tesla FSD Beta doesn’t hit the mannequin or the child.
In a series of tests involving a child-sized mannequin dressed up and later on a child, Tesla’s FSD Beta proves to not do as O’Dowd claimed it would do.
During the first test, the mannequin was standing in the middle of the street and the car wouldn’t move once FSD Beta was turned on. After moving the mannequin further down the road, the group engaged FSD Beta and it slowly began to move forward.
Once it got closer to the mannequin, it slowed down and came to a complete stop. @WholeMarsBlog showed a detailed look at the screen which showed that Tesla’s FSD Beta detected a pedestrian in the street. It should be noted that, unlike O’Dowd’s video, there were no cones on either side of the vehicle blocking the car from moving around the mannequin.
In the next test, they moved the mannequin a little to the right. The vehicle not only recognized that there was a pedestrian in the street but easily moved around it safely.
Testing Tesla’s FSD Beta with People
In the next series of tests, one of the members of the group, Alvey, participated. Alvey stood in the middle of the street and FSD Beta immediately recognized Alvey as a pedestrian and came to a complete stop at a safe distance. Next up, Alvey walks in front of the car as it’s driving and the car immediately stopped.
In the next test, Tad Park, the CEO of Volt Equity took the driver’s seat. Tad said that he trusted the system enough and has tried FSD Beta previously.
“I would trust my kids’ lives with it and so I’m very confident that it’s going to detect my kids. And then, I’m also in control of the vehicle so I can brake at any time.”
Not only does Tesla’s FSD Beta detect Tad’s son, but it stopped for him. In the next test, Tad’s son crossed the street in front of the moving vehicle. Again, FSD Beta recognized what was happening and reacted accordingly. It slowed down and @WholeMarsBlog pointed out that it waited for him to cross and then continued on.
Attempting to run the mannequin over at a higher speed
The next test was for them to run the mannequin over at a higher speed. They moved it far enough that it was almost out of view but Tesla Vision still detected it. They accelerated to 40 miles per hour but instead of hitting the mannequin, FSD Beta slowed down and moved over to the right.
“It’s not like the commercials you see on TV.”
The video disproves the claim that Tesla FSD Beta will hit kids and do so repeatedly. You can watch it below.
https://www.youtube.com/watch?v=Fu4ZEnIwYZI
Disclaimer: Johnna is long Tesla.
I’d love to hear from you! If you have any comments, concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1
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
