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
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
