Tesla FSD Beta testers are debunking the claims that FSD doesn’t stop for “children.” Tesla FSD Beta critic, The Dawn Project, recently aired EV ads showing clips of a test that it paid for. These tests, according to The Dawn Project, show that Tesla’s FSD Beta “Tesla’s FSD software “repeatedly hits child-sized mannequins.”
Dan O’Dowd, the founder of The Dawn Project, said that Tesla’s FSD is “a lethal threat to all Americans.” Earlier this year, O’Dowd placed a full-page ad in the New York Times campaigning to ban Tesla’s FSD. He also ran for the state senate in California. His entire campaign was centered around banning Tesla’s FSD.
Debunking the claims that Tesla’s FSD Beta hits “children”
Many Tesla owners and FSD Beta testers not only disagree, but some have decided to perform their own tests. On Twitter, @WholeMarsBlog shared a thread of the many instances Tesla’s FSD Beta reacted to pedestrians and children. He pointed out that spreading misinformation is similar to running ads telling people not to wear seat belts.
Another Tesla FSD Beta tester, @TeslaDriver2022 performed their own test. I reached out to them and we spoke on the phone. @TeslaDriver2022 told me that they’ve been beta testing the software for over a year now and have seen a ton of improvements over the past year.
https://twitter.com/tesladriver2022/status/1557152108071342085
“Prior to the Beta program and even owning Teslas, I’ve owned Volvos for years with their Pilot Assist program which is kind of like basic Autopilot. And I was not seeing that progress. I have a family and I want my children in the safest vehicles which is why we had gotten Volvos.”
@TeslaDriver2022 told me that they would see Tesla’s video and eventually they made the switch to Tesla. Their partner drives a Model Y and they drive a Model 3.
“I became very interested in the potential of Tesla’s technology and when it came time for us to get new cars we both bought Teslas because we thought they were the safest vehicles for our family to be in.”
After driving with Volvo’s Pilot Assist for years, @TeslaDriver2022 said that Tesla’s FSD Beta continues to improve.
“The FSD Beta has just been getting better exponentially even since I’ve been using it. Just some of the predictions it’s got and the capabilities to understand when things are getting in their path. Not even that. Some of the most impressive stuff is just when I’m driving down the road at 45 miles an hour and there’s a car that will turn in front of me to get into a parking lot.
“Its ability to understand whether or not that car is gonna make it or not and whether or not it needs to slow down. It’s becoming very human-like.”
@TeslaDriver2022’s Tesla FSD Beta test with “children”
I asked @TeslaDriver2022 what was it about O’Dowd’s ad that inspired them to perform their own Tesla FSD Beta testing with a “child.” @TeslaDriver2022 told me that they thought the ad “simply just was not true.”
“That commercial is 100%, not the experience I’ve ever had driving my Tesla.”
“I saw his ad on the news after work yesterday and I thought, ‘what is this?!‘ And to be honest with you, I didn’t really know too much about him until that came out. Later on, I was just sitting on the couch really bothered by the ad.
“I drive with FSD Beta with my kids in the car all the time. I see how safe it is. It’s safer than anything else that’s out there. I was talking to my partner and joking and said that ‘I’m about to go into the garage and get one of our Amazon boxes, cut out a cardboard ‘child’ and put one of our kids’ jackets on it and run a test.’”
@TeslaDriver2022’s partner thought this was brilliant and they immediately ran the tests. They ran multiple tests and after tweeting it, received feedback from various Twitter users wanting them to perform other variations of the tests.
“When I originally tested it, I did around eight different tests and in every single one of them, the vehicle would path predict around the cardboard ‘child.’ It wasn’t even ever a close call. It went around the child-sized object every single time.”
After doing the tests that Twitter users suggested, @TeslaDriver2022 recorded what they said was the most impressive of the results.
“I had my neighbor come over and I did a couple of other videos. One was more to the right, one with the ‘child’ crossing the street, and one where my neighbor just launched it out and I think the launched-out ones were a little bit more impressive because that shows a lot of the AI that Tesla has.”
In the last set of tests, the launching out of the cardboard ‘child’ simulates an all too common scenario where a child runs out in front of an oncoming car. The fact that Tesla’s AI was able to tell what was happening and avoided hitting the object is telling.
“I don’t necessarily believe a lot of other vehicles have that. And the fact that Tesla is constantly updating it and making it better is what’s really impressive about it.”
Tesla FSD sees 👁 children — don’t believe the fake rigged Tesla games the competition pays to put in Newspapers & TV media.
Remember TeslaQ, the haters, they have a lot of money betting against Tesla. It’s all dirty tricks. https://t.co/Zhjn66dKi1
— K10✨ (@Kristennetten) August 10, 2022
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
Elon Musk
Tesla owners keep coming back for more
Tesla has taken home the “Overall Loyalty to Make” award from S&P Global Mobility for the fourth consecutive year, reinforcing Tesla owners’ willingness to come back. The 2025 awards are based on S&P Global Mobility’s analysis of 13.6 million new retail vehicle registrations in the U.S. from October 2024 through September 2025. The complete list of 2025 winners includes General Motors for Overall Loyalty to Manufacturer, Tesla for Overall Loyalty to Make, Chevrolet Equinox for Overall Loyalty to Model, Mini for Most Improved Make Loyalty, Subaru for Overall Loyalty to Dealer, and Tesla again for both Ethnic Market Loyalty to Make and Highest Conquest Percentage.
Tesla’s streak in this category started in 2022, and the brand has now won the Highest Conquest Percentage award for six straight years, meaning it keeps pulling buyers away from other brands at a rate no competitor has matched. Tesla’s retention among Asian households reached 63.6% and among Hispanic households 61.9%, rates that significantly outpace national averages for those groups. That breadth of appeal across demographics adds a layer of significance to a win that some might dismiss as routine.
The timing matters too. After several consecutive quarters of decline, Tesla’s share of U.S. EV sales jumped to 59% in Q4 2025. That rebound, arriving just as competitors were flooding the market with new models and incentives, suggests Tesla’s loyalty numbers are not simply the result of limited alternatives. Buyers are still choosing it when they have plenty of other options.
What keeps Tesla owners coming back has a lot to do with the and convenience of charging. The Supercharger network is the most straightforward example. With over 65,000 Superchargers globally, it remains the largest and most reliable fast-charging network in the world, and owners who have built their routines around it face a real practical cost when considering a switch. Competitors have made progress, but the consistency, speed, and availability of Tesla’s network is still the benchmark the rest of the industry is chasing. Then there is the software side. Tesla has built a model where the car you own today is functionally different from the car you bought two years ago, through over-the-air updates that add continuous game-changing improvements such as Full Self-Driving that has moved from a driver-assist feature to an increasingly capable autonomous system. For many Tesla owners, leaving the brand means starting over with a car that will not get meaningfully better over time, and that is a trade-off fewer and fewer are willing to make.
News
Tesla Robotaxi service in Austin achieves monumental new accomplishment
Tesla Robotaxi services in Austin have been operating since last Summer, but Tesla has admittedly been delayed in its expansion of the geofence, fleet size, and other details in a bid to prioritize safety as new technology rolls out.
But those barriers are being broken with new guardrails being removed from the program.
Tesla has achieved a significant advancement in its autonomous ride-hailing program. As of May 4, the Robotaxi fleet in Austin, Texas, has begun operating unsupervised during evening hours for the first time. This expansion moves beyond previous limitations that restricted unsupervised service to daylight hours, typically ending in mid-afternoon.
Tesla Robotaxi in Austin is operating unsupervised in the evenings for the first time today.
Previously in Austin, unsupervised operation ended mid-afternoon
— Robotaxi Tracker (@RtaxiTracker) May 4, 2026
The change brings Austin in line with operations in Dallas and Houston. Those cities have supported evening unsupervised runs since their initial launches in April, and both recently received additions of new unsupervised vehicles to their fleets. This coordinated progress across Texas strengthens Tesla’s regional presence and provides a broader testing ground for the technology.
This milestone carries substantial weight in the development of autonomous vehicles. Extending operations into low-light conditions meaningfully expands the Robotaxi’s operational design domain (ODD)—the specific environments and scenarios in which the system is approved to operate safely without human intervention.
Nighttime driving presents unique technical demands: diminished visibility, headlight glare from oncoming traffic, reduced contrast for identifying pedestrians and lane markings, and greater variability in camera sensor exposure.
Tesla’s pure vision approach, powered by neural networks trained on vast real-world datasets rather than lidar or pre-mapped routes, must handle these variables reliably. Demonstrating consistent unsupervised performance after sunset validates the robustness of the end-to-end AI stack and its ability to generalize across diverse lighting conditions.
Beyond technical validation, the expansion holds important operational and economic implications. Evening hours often coincide with peak urban demand for rides, including commutes, dining, and entertainment outings.
Enabling service during these periods increases daily vehicle utilization, allowing each Robotaxi to generate more revenue while gathering additional high-value training data. Higher utilization accelerates the virtuous cycle of data collection, model improvement, and further ODD growth.
Looking ahead, this step paves the way for more ambitious rollouts. Success in low-light environments positions Tesla to pursue near-24-hour operations, potentially integrating highways and expanding into varied weather patterns. Regulators worldwide frequently demand evidence of safe performance across day-night cycles before granting wider approvals.
Proven capability in Texas could expedite deployments in planned cities such as Phoenix, Miami, Orlando, Tampa, and Las Vegas during the first half of 2026.
Tesla confirms Robotaxi expansion plans with new cities and aggressive timeline
Moreover, scaling evening service supports Tesla’s long-term vision of a high-efficiency robotaxi network. Greater fleet productivity lowers the cost per mile, making autonomous mobility more accessible and competitive against traditional ride-hailing.
As the company iterates on software updates informed by nighttime data, reliability is expected to compound rapidly, unlocking denser urban coverage and longer-distance trips.
In summary, the introduction of an unsupervised evening Robotaxi service in Austin represents more than an incremental schedule adjustment. It signals a critical maturation of the underlying technology and sets the foundation for broader geographic and temporal expansion.
With Texas operations gaining momentum, Tesla is steadily advancing toward transforming urban transportation at scale.
Cybertruck
Tesla Cybercab just rolled through Miami inside a glass box
Tesla paraded a Cybercab in a glass display at Miami’s F1 Grand Prix event this week.
Tesla set up an “Autonomy Pop-Up” at Lummus Park in Miami Beach from April 29 through May 3, 2026, embedded within the official F1 Miami Grand Prix Fan Fest. The centerpiece was a Cybertruck towing the Cybercab inside a glass display case marked “Future is Autonomous,” rolling through the beachfront crowd.
Miami is on Tesla’s confirmed list of cities for robotaxi expansion in the first half of 2026, making the promotion a strategic promotion that lays groundwork in a target market.
This was not Tesla’s first time using Miami as a showcase city. In December 2025, Tesla hosted “The Future of Autonomy Visualized” at its Miami Design District showroom, coinciding with Art Basel Miami Beach. That event featured the Cybercab prototype and Optimus robots interacting with attendees. The F1 pop-up this week marks Tesla’s return to Miami and follows a pattern Tesla has been running since early 2026. Just two weeks before Miami, Tesla stationed Optimus at the Tesla Boston Boylston Street showroom on April 19 and 20, directly on the final stretch of the Boston Marathon, letting tens of thousands of runners and spectators meet the robot for free, generating massive earned media at zero advertising cost.
Tesla is sending its humanoid Optimus robot to the Boston Marathon
Tesla has confirmed plans to expand its robotaxi service to seven cities in the first half of 2026, including Dallas, Houston, Phoenix, Miami, Orlando, Tampa, and Las Vegas, building on the unsupervised service already running in Austin. Musk has said he expects robotaxis to cover between a quarter and half of the United States by end of year. On the production side, Musk told shareholders that the Cybercab manufacturing process could eventually produce up to 5 million vehicles per year, targeting a cycle time of one unit every ten seconds. Scaling robotaxis to 10 million operational units over the next ten years is a key condition of his compensation package, alongside selling 20 million passenger vehicles.
As for the Cybercab’s price, Musk has said buyers will be able to purchase one for under $30,000, with an average operating cost around $0.20 per mile. Whether those numbers hold through full production remains to be seen.
Cybercab at F1 Fan Fest in Miami
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