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
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
