Dear @WhiteHouse, my name is Rodney Smith Jr., founder of Raising Men & Women Lawn Care Service in Huntsville, Alabama. Through our 50 Yard Challenge, over 6,000 kids across the country have signed up to mow free lawns for the elderly, disabled, veterans, active-duty military, first responders, and single parents. With America celebrating its 250th birthday this year and me also being born on July 4th, I wanted to humbly ask if a few kids from our program and myself could travel to Washington, D.C. to help mow the White House lawn for this historic celebration.
More than anything, I want these kids to see how a simple act of service something as ordinary as mowing a lawn for someone in need can lead to extraordinary places. What better lesson in community service than showing them that helping others can take them all the way to our nation’s capital? I’d also love to bring my American flag-themed mower in hopes that the President might sign it, so I can later auction it off and donate 100% of the proceeds to a nonprofit supporting veterans. It would be a once-in-a-lifetime opportunity to highlight the importance of service, patriotism, and the impact young people can have when they choose to make a difference. 🇺🇸
@justhefaxmam@YourAnonNews I hear you. My point was slightly narrower: China isn’t a useful AI comparison. What can be centrally planned and imposed there can’t be done the same way here - legally, culturally, or politically. Different systems, different constraints. I hope yours serves you well.
@justhefaxmam@YourAnonNews I’m not sure China is the right comparison. Authoritarian systems can impose AI across national infrastructure in ways free societies can’t and shouldn’t. The American model is messier: people are free to build brilliant things and stupid things. That’s the price of freedom.
@NikMilanovic@ThriveCapital Other than the obvious conflict issues this will cause (think Big 8 rolling up to Big 4 and the chaos that ensued), this is a wonderful use of ai, especially for aging CPAs who want to retire but don’t have an internal path to sell. Let’s hope this is a win win for all sides.
Dead Internet Theory is now Fact and no one is ready for this conversation. I was gobsmacked when some founders bragged to me they'd 'bought a subreddit' - I didn't think that was possible - but they'd simply bought the moderators' accounts and taken control (to get the GEO).
Happening today: PCF-funded research is advancing how prostate cancer is detected + treated.
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I absolutely love this.
Have one in college and one just graduated HS.. but I have 4 still in the house and we’re definitely implementing!!!
Wished I have done this sooner
Heather was brave, clear-minded, and committed to truth and Scripture. For those offenses she was manhandled, spiritually abused, and trailed by Bethel security who said Bill and Benni Johnson had ordered them to stop her from even speaking to other people at the church.
The fallout in her life was devastating and is ongoing.
I stand behind Heather, for whatever that's worth, and I want her to know how many of you also stand behind her.
Heather, I believe you.
ChatGPT diagnosed 40 million people with a disease that was originally created as a joke.
Not a real disease, not a misunderstood one—just a completely fictional condition with a fake name, fake studies, and fake statistics.
And it told patients to see a specialist.
The disease is called Bixonimania. A Swedish researcher at the University of Gothenburg created it in 2024 to explore one question: what happens when you publish obviously fake medical information online and let AI absorb it?
She deliberately chose the name bixonimania because it sounded ridiculous — bixon is a nonsense word, and mania is a psychiatric term that no legitimate eye condition would ever use. She uploaded two papers to a preprint server. Both were obviously fraudulent. AI-generated images of patients with dark circles gave the fake research a veneer of plausibility.
Then she waited.
She did not have to wait long.
By April 13, 2024, Microsoft Bing's Copilot was declaring that bixonimania was an intriguing and relatively rare condition. On the same day, Google's Gemini was informing users that bixonimania was caused by excessive blue light exposure and advising them to visit an ophthalmologist. Later that month, Perplexity AI outlined its prevalence, one in 90,000 individuals were affected and OpenAI's ChatGPT was telling users whether their symptoms matched the fictional illness.
One in 90,000. A precise statistic. For a disease that does not exist.
Every red flag was visible. The name was absurd. The papers were crude. The condition made no scientific sense. None of the AI systems flagged any of it.
They read the fake papers. They absorbed the fake statistics. They presented both to patients with clinical authority and zero hesitation.
Then it got worse.
Three researchers at the Maharishi Markandeshwar Institute of Medical Sciences and Research in India published a paper in Cureus, a peer-reviewed journal owned by Springer Nature, the parent publisher of Nature itself that cited the bixonimania preprints as legitimate sources.
A real peer-reviewed paper. In a Springer Nature journal. Citing a fictional disease as established medical fact. Passing editorial review. Entering the permanent scientific record.
It was only retracted after the hoax became public.
Nature published a full investigation of the experiment. Alex Ruani, a health-misinformation researcher at University College London, called it a masterclass in how misinformation operates.
Here is the scale of what this means.
More than 40 million people turn to ChatGPT every day for health information, according to OpenAI's own analysis. ECRI, a US patient-safety nonprofit has named chatbot misuse the number-one health technology hazard of 2026. ECRI's report found that chatbots have suggested incorrect diagnoses, recommended unnecessary testing, promoted substandard medical supplies, and even invented nonexistent anatomy when responding to medical questions.
Number one. Out of every health technology hazard that exists in 2026.
An April 2026 study published in BMJ Open found that nearly half of the answers provided by leading AI chatbots to common health questions contain misleading or problematic information.
Nearly half. Of all health answers. From the tools 40 million people use every day.
Here is the line from the researcher that cuts through everything.
The Bixonimania case is striking precisely because it was engineered to be so obviously fake. The real question it raises is: what is passing through the same systems that is not nearly so easy to spot?
The experiment used a ridiculous name. Fraudulent papers. Visible red flags at every level.
It was designed to be caught.
It was not caught.
The AI that told patients about Bixonimania is the same AI they asked about their chest pain, their medication, their child's symptoms, and their cancer screening schedule.
40 million people. Every day.
And nobody is telling them that nearly half of what comes back may be wrong.
Source: Osmanovic Thunström · University of Gothenburg · Nature · April 2026 ·
Link in the (comments)
CEOs are quietly realizing the AI replacement plan has a problem.
Two problems, actually.
One: the token costs for running AI agents are now exceeding what they were paying the employees they fired.
Two: when the tokens run out, the AI stops. Just stops. No continuity. No workaround. Just a spinning wheel where your workforce used to be.
You fired humans to save money and bought a subscription that bills you into a corner.
The employees you let go knew what to do when things broke.
The AI just invoices you for the outage.
And then there’s the permission problem nobody wants to talk about.
To do its job, the AI agent needs access. Full access. Your systems, your patents, your contracts, your future plans. Everything you spent years building, handed over to a process that has no loyalty, no discretion, and no skin in the game.
You didn’t hire a replacement.
You gave a stranger with no soul the keys to everything you own.
Enjoy.
Let me trace the timeline here because nobody's connecting it.
Step 1: Scrape the entire internet. Every book, every article, every conversation, every piece of art, every forum post. Do it without asking. Do it without paying.
Step 2: Train a model on all of it. Call it "artificial intelligence."
Step 3: Go to BlackRock's Infrastructure Summit and announce: "We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter."
Step 3 is where you sell people's own knowledge back to them. On a meter.
They took the collective output of human thought, compressed it into a model, and now they want to charge you by the token to access a version of what you and everyone you know already created.
One Reddit user put it perfectly: "They stole all this data from us, the people, our life's work, creativity, art, by devouring the internet and blowing through all copyright laws. Now they want to sell it back to us in the form of a utility."
Imagine if someone photocopied every book in the public library, burned the library down, and then opened a subscription service for the copies.
That's the metered intelligence business model.
And they're pitching it to infrastructure investors as though they invented water.
This entire thread sums up my daily struggle with trying to avoid sounding like ai. Why do we have to change our writing? We were here first, evil robot overlords.
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