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
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
