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 finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.
CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.
Musk said:
“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”
Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”
He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.
The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.
Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”
Tesla alleged “driverless” crash in Texas: What is known so far
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.
This appears to be a similar situation. However, an investigation will prove what happened for sure.
Investor's Corner
SpaceX makes $20 billion move to optimize its balance sheet
SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.
The company announced an offering of senior unsecured notes expected to raise at least $20 billion.
The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.
The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.
SpaceX officially acquires xAI, merging rockets with AI expertise
In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.
The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.
SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.
Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.
Elon Musk
SpaceX confirms third massive compute deal at Colossus data center
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.