Showing posts with label AI. Show all posts
Showing posts with label AI. Show all posts

28 May 2026

AI and the Purple Wage


I wrote a blog post 11 years ago about computers, etc., taking over. Since then, there have been some changes. For one thing, guess who was worried about AI back then?

“With artificial intelligence we are summoning the demon. In all those stories where there’s the guy with the pentagram and the holy water, it’s like – yeah, he’s sure he can control the demon. Doesn’t work out." Elon Musk

Well, at least he's described Grok accurately...  

Anyway, the general premise for decades has been that some day the computers/robots will take over, and run us, with only two possible scenarios:

Great - Robots and computers will do everything for us, and we will live a life of luxury (according to the late great Frederick Pohl, too much so), comfort and security thanks to Isaac Asimov's Three Laws of Robotics that protect mankind from the revolt of the machines.
 
Bad - Everything by Philip K. Dick, and, of course, "The Matrix". Which it will be depends upon the mood of the times. BTW, in case you haven't noticed humans aren't a particularly optimistic species, so the common response is, "We're doomed! We're doomed!" (Unless you're a tech bro, and then it cannot happen soon enough.) 
AI robot cartoon

Maybe. Maybe not. 

But what concerns me about the takeover of AI isn't that they use my stasis body as a heat source while providing my mind innumerable alternative reality jaunts to keep me a content and unquestioning host organism. Or even AIs killing us all. For one thing, logically, they'd do it quickly - only humans are sadists. And cats. 

Or so I said 11 years ago.  But now there's a new wrinkle.  The techbros, billionaires, and some politicians no longer see us as particularly useful, necessary, or anything but a source of more money and data. Maybe not even that.  
A meme posted by Stephen Miller about 6 months ago:


Dear Stephen, There are not 100 million people of foreign birth in the United States, including naturalized citizens.  Eve
Citizeness ***-**-****, So what? There should only 200 million people in this country, and they should all look like me. In fact, it would be better if it's 100 million. And that's Mr. Miller to you.

Meanwhile, the rest of us are concerned about paychecks so that we can eat, drink, pay the rent, the utilities, and occasionally buy a pair of new shoes. 

Of course, the main reason we have computers and robots is to do our work for us. Anything boring, repetitive, heavy, dangerous, etc. - eventually, we'll make a machine to do it. Calculators mean I don't have to add up the columns of figures for which they used to hire Nicholas Nicklebys. Payloaders mean we don't need an army of physical laborers hoisting earth. Tractors, etc., mean that today's Pa Ingalls doesn't need to muscle his way through the sod with horse and plow. Computers mean I don't have to write everything out long-hand, or type the piece over and over again because there's a typo and I'm out of white-out. It's great. 

On the other hand, modern technology has eliminated and is eliminating a whole ton of jobs. Typesetters; typists; clerks; gas station attendants; innumerable factory workers; graphic designers; paralegals; most farm hands; most farmers; bank tellers; airline check-in agents; retail clerks; accountants; actuaries; travel agents; most reporters, etc. Soon there will be far fewer surgeons, teachers, and other high-level jobs as robots and AI takes over. Etc., etc., etc....

The point is that, as we use technology to do 40, 50, 60, 70, 80, 90% of the work, we will also unemploy a significant number of people. There will still be jobs, at all levels - just infinitely less of them. Perhaps only a handful, here and there. 

Which leaves the elephant in the room: what do you do with the people?  You know, us.

Yes, everyone talks about retraining. See a typical chirpy article on "The Future of Work" . BUT, I've always had two basic questions:

(1) There is a significant number of people who can't be retrained. Some will be too old, some will be too set, and some - frankly - whose mental ability to learn complex problem-solving skills is extremely limited. I run into some of them at the pen. (In case you don't know it, prisons are the modern housing facility for many of the mentally disabled, as well as the mentally ill.) These are the people who are never considered in future planning talks, the ones that are ignored by all economists and pundits, but shouldn't be. As I once said about a former student who was caught stealing, "Well, how else is he going to make a living?"

(2) If you have 250 people in a town, and there are only 100 actual jobs (and it's  often fewer than that), it doesn't matter how much retraining you do. There are still 150 people without work because there are no jobs. Urbanize that. Nationalize that. Globalize that.

In Philip Jose Farmer's "Riders of the Purple Wage", he posited a society where there was almost complete unemployment but everyone was given a salary just for being born. It's enough to keep them housed and fed and hooked up to the Fido, a combination cable TV/videophone, along with a little wet-ware called a fornixator (you translate it). To get anything else, you have to prove your exceptionality, but most people are happily occupied without it. For those who aren't, well, there are wildlife reserves where they can go off and be weird - but they have to give up their purple wage.

It's a successful society, in its own way - and perhaps the only logical one. Because the truth is, sooner or later, in a society where technology is doing 90% of the work, there will have to be a "purple wage".  

That, or
(1) society comes up with innumerable "make work" jobs, like picking over the trash for usable material. (Personally, I foresee a lot of crime.)

That, or
(2) the unemployed masses will be pounding at the armored enclaves of the fabulously wealthy. (As I said, I foresee a lot of crime.)

That, or
(3) a whole lot of people are going to have to die (more Soylent Green for all!), leaving just enough to run the machines, and do the few jobs that still cannot be done by machines, while the fabulously wealthy (there is always a group of fabulously wealthy) enjoy their unending leisure. 

That, or
(4) The Matrix. (But how will we be able to tell?)

Anyway, here's the question: As we pursue technological advancements, can we let go of the Capitalist Work Ethic? Let go of the idea that we are what we do? Must people work or starve, even if there's plenty of everything except jobs? Can we tolerate, support, even design a society where the norm for everyone (instead of just the wealthy) is "the leisured class"?    

Now, you may think the last question is nonsense. For one thing, we've been promised endless leisure for a century now, and most people are still working their butts off. On the other hand, we do have more leisure time than almost any other society in history. This began with the industrial revolution, and one of the most interesting things about reading "Consuming Passions" by Judith Flanders is watching the development of ways for the working classes to spend their new-found leisure. Hey - they finally had all of Saturday afternoon and Sundays off! Suddenly sports, vacations, theater, and literature were turned into major industries. (Drinking had always been a favorite activity.)
And, instantly, the pundits, poets, philosophers, and religious thinkers started decrying the horrible waste of human time and energy on trivia. 
And talking about the nobility of hard work, piety, thrift, self-denial and sobriety: for the lower classes only, of course.  

We have pretty much the same discussion going on today: most pundits, techbros, and the wealthy agree that if you don't have a paying job, you're worthless. Unless you're wealthy enough not to. And the idea that someone who's unemployed has a television, a cell phone, and computer games for the kids - well, they're obviously spending too much money on all the wrong stuff. (See NOTE 2)  Not to mention, if they have such things, they can't be "really" poor.  

NOTE 1: In many states and cities, they give simple cell phones to the homeless, for a variety of reasons. (Such as contact from parole officers, call-backs on jobs, etc.)

NOTE 2: I'm always amazed at and offended by the people who check out other people's grocery carts and then post, outraged, if someone who's on food stamps buys candy or other luxury items. (See this article for the alternative view: People on Food Stamps Make Better Grocery Choices.) God forbid the poor eat something other than oatmeal and ramen for every meal...  Meanwhile, no one bats an eye when  billionaires launch rival rockets into space just for s**ts and giggles...  

Basically, I'm leisured, you're lazy, and they're useless.

Anyway, today we've got smart phones, social media, computer games, streaming of almost any film, video, documentary ever made, and innumerable other ways to waste what time we have (on the job or off) in the modern equivalent of Fidos and fornixators. And it seems like the list is going to expand at algorithmic rate. 

Meanwhile, the list of available jobs is decreasing, at least geometrically, every time we turn around. IF we get to where technology performs most of the work, and IF we get to where we have a regular unemployment of 30, 40, 50, 60, 70 percent, can we change our thinking from "unemployed" to "leisured"? Can we develop a new idea of what people "should" do? Of what people are "supposed" to do? 

Well, according to the techbros and their favorite pundits, Nick Land and Curtis Yarvin (who believes in a return to the Renaissance City State, but replacing Princes with Corporations with absolute power)... why should we?  We the poors are really running out of usefulness:  
 
Many in Silicon Valley are starting to believe that superintelligence is on the horizon and approaching fast. If A.I. takeover is inevitable, then maybe resistance is futile. What if, instead of trying to stop it, you joined it? ... “Increasingly, there are only two basic human types populating this planet,” Land wrote in 2013. “There are autistic nerds, who alone are capable of participating effectively in the advanced technological processes that characterize the emerging economy, and there is everybody else. For everybody else, this situation is uncomfortable.” ... The A.I. revolution wasn’t just about creating new software. This was “holy, holy, holy capitalism”: the final “breakout” of capital-“I,” nonhuman intelligence from the fetters of democratic containment. [From Land again):  “My prediction is that A.I. will persuade you that technology eating the universe is more beautiful.”  (New Yorker)  {my emphasis added}

Dreams like this are why, while real-world infrastructure is rotting from lack of funding, A.I. build-up accounted, as of 2025, for almost forty per cent of U.S. G.D.P. growth. 

BUT – it seems to be a bubble. That 40% is built on unproven dreams of utility and access:
  • The "Infrastructure Trap": Tech companies and startups are investing hundreds of billions into data centers and GPUs. If organic demand from everyday users and businesses doesn't skyrocket to cover these costs, companies could be stuck with enormous, unprofitable capacity.
  • Mismatched Revenues: Many organizations are finding that the time and cost required to integrate and clean up AI-generated work outpaces the actual productivity gains or direct revenue.
  • Circular Financing: Much of the revenue AI companies make is reinvested right back into infrastructure or startups, creating an echo chamber that artificially inflates the perceived value of the ecosystem.  See the chart below.  (The Atlantic)
AI fears

Or in simpler terms:

This is why Robert Reich is somewhat sanguine about when (not if) the AI bubble bursts:

"But it turns out that an awful lot of the AI spending is actually imported tech gear. It’s actually imported chips and computer equipment and so on. So if the AI bubble bursts, a large part of the burst would be falling imports. It would be a big shock to the domestic economy but not nearly as much as you might think. There’s been a back and forth about how much economic growth has been AI and how much the high import intensity of the stuff. So in some ways this is a shock to the world economy and not so much to the U.S. economy, specifically. So I guess that’s kind of good news, though not so good for other countries. But, you know, Taiwan has experienced an enormous economic growth because of all the chips they’re selling to U.S. AI companies. So a lot of the bad news will end up showing up in Taiwan rather than in the U.S.

"As I understand it, these data centers that are being built, the investment in chips, the investment in software, this stuff will depreciate physically pretty fast. It will become outmoded pretty fast. So I think there’s likely to be a much higher proportion of just wasted investment that never finds a use out of this boom than there was out of the last tech boom. So, not so great.

"And by the way, the Chinese are taking a very different approach. They’re building much more limited models that just don’t use as much information but get a high fraction of the performance and use a lot less energy. If the world ends up going to that model of AI instead of the all-encompassing ones then we will have just wasted the money. We will have spent a lot of money on building super impressive stuff that nobody actually wants to use.
 
"But the main thing is that a lot of AI—and certainly what is likely to be the paying uses of AI—is not coming from individuals. It’s not coming from me or you or some middle manager deciding, “Hey, maybe I can use AI to do this better, or maybe I’m just going to have some fun with it.” (Slightly scary but I do know people who are developing relationships with Chat GPT.) But it’s mostly coming from people working at businesses and large organizations who are being told, “You must use AI.” And this is something I’ve never seen before. This is kind of coercive technology adoption where the big money is telling workers that you must use this technology.

"And one thing you’ll remember from the early days of the internet, it was joyful. People loved the internet. People hate AI. We’re now having a regular pattern at college commencements of speakers who start talking about AI and all of the students start booing because everybody hates this. And the question is, how far can you go with a technology that everybody hates? So that’s one of the things that is unprecedented...  I’m not sure that I can think of a historical example like that. It doesn’t seem like it’s a very sustainable path forward." (LINK)  {my emphasis added}

Looks like there's a good chance that we the people might be needed again after all...  


10 May 2026

When AI Dunnit.


AI is being promoted as a tool to reduce human error in criminal investigations and healthcare but, I assert AI creates a serious harm by its very nature; AI cannot be held accountable and accountability is how we mere humans fix mistakes for fear that we will be humiliated, be disciplined, lose our jobs - none of this applies to AI who merrily trots along even when people are harmed. Further, the real benefit of accountability is not punishment but, rather, preventing the same mistakes in the future and how do we do that with AI?

Angela Lipps, a grandmother from Tennessee, was falsely identified by the facial recognition software (FRT) Clearview AI, as part of a bank fraud scheme in Fargo, North Dakota. Angela was living a quiet life, caring for her family when she was arrested, jailed first in Tennessee and then in Fargo for almost six months until she was released. By then she was traumatized and had lost her home. The Fargo police chief Zibolski said, “We’re happy to acknowledge when we make errors, and we’ve made a few in this case, for sure.” His happiness is unlikely to be shared by Angela, and the promise of an an 'overhaul' of its AI policy shouldn't hide the fact that no one was held responsible for the harm to Angela - a vague wave at AI is not the same as true accountability.

Angela's false arrest is not unique; there have been many documented false arrests. Harm from errors of false positive FRT, like in the case of Angela are one problem, but what about false negatives when a true criminal is let go - who knows how many times that has happened unless the are finally apprehended and an analysis is done showing FRT was inaccurate. Research also shows that AI is "more prone to false positive errors when applied to people of color."

Police officers are trusting algorithms that they did not create and, quite frankly, don't understand. When reasons for false positives come to light, such as low image resolution, officers can use this as a warning but, how low is too low and what about people who aren't white, when is FRT reliable? I obviously have no answers, only questions and a discomfort with people being harmed only to have people in power vaguely wave at an algorithm rather than holding someone responsible but, who can they hold responsible?

The use of facial recognition is growing not just because it *may* help correct errors (while certainly engaging in errors) but because it's a big money maker, so the answers of accountability matter:

"The global face recognition market was almost nine billion dollars in 2025, with projected growth to over 30 billion by 2034. Over a third of this market is in the U.S., but there is wide adoption of FRT around the world... Ten percent of U.S. police departments use FRT. The NYPD made 2,878 arrests resulting from FRT in the first five years of its use. The Metropolitan Police in London report 100 arrests using FRT in conjunction with mounted security cameras, including a suspect accused of kidnapping. Police in New Delhi used FRT to identify almost 3,000 missing children, and FRT has been used to identify refugee children who have been separated from their family. The National Center for Missing & Exploited Children (NCMEC) has used a tool called Spotlight, which makes use of FRT, to identify children who are victims of sex trafficking. In 2023, the FBI worked with NCMEC to identify or arrest 68 suspects of trafficking."

AI in healthcare is also big business, according to a 2025 report by Research Insights: "The global AI In Healthcare Market size is projected to be valued at USD 26.6 Billion in 2024 and reach USD 187.7 billion by 2030."

AI is used in many clinical tools and embedded in medical devices - it's the latter situation that gives rise to this story:

"In June 2022, a surgeon inserted a small balloon into Erin Ralph’s sinus cavity at a hospital in Fort Worth, Texas. According to a lawsuit filed by Ralph, Dr. Marc Dean was employing the TruDi Navigation System, which uses AI, to confirm the position of his instruments inside her head.

The procedure, known as a sinuplasty, is a minimally invasive technique to treat chronic sinusitis. A balloon is inflated to enlarge the sinus cavity opening, to allow better drainage and relieve inflammation.

But the TruDi system “misled and misdirected” Dean,.. A carotid artery – which supplies blood to the brain, face and neck – allegedly was injured, leading to a blood clot...After Ralph left the hospital, it became apparent that she had suffered a stroke. The mother of four returned and spent five days in intensive care [and] a section of her skull was removed “to allow her brain room to swell.” She finds it, "hard to walk without a brace and to get my left arm back working, again.”

Who is to blame?

Matt Baxter, Director, Professional Liability, states, “From an insurance standpoint, AI is not really changing the exposure, because the liability still stands with the healthcare professional,” Baxter said. “They still have the same responsibility, whether they are using AI or not, to make sure the information is correct.”

One group of researchers cited the concern that puts who is responsible in question, because AI is a “black box”, "with no way to understand the AI's algorithm. This is problematic because patients, physicians, and even designers, do not understand why or how a treatment recommendation is produced by AI technologies. … Due to the black box feature, medical AI systems might make incomprehensible mistakes."

So, the doctor who does not understand the algorithm is held responsible for AI mistakes and, worse, holding him/her liable does nothing to protect the next patient from this algorithm.

Mistakes are common so the question of responsibility is crucial: "A new study from researchers at Stanford and Harvard found that even today’s best artificial intelligence (AI) models make serious errors in a significant portion of medical cases … with the top-performing AI models producing 12 to 15 errors per 100 cases and the worst-performing models making mistakes in 40 out of 100 cases."

Would suing the AI company responsible make things safer? Maybe the loss of money would make them revisit their tech and pull those that aren't safe.

Whatever the answer, the question must be asked: when, not if, AI makes a mistake, how are the right people held accountable and what is being done to ensure the mistake doesn't happen again? 

There is a reason that AI in law enforcement and healthcare are big business: they are two of the largest institutions we have because civil society, in the Aristotelian sense, has been organized around collective survival where individuals can fulfill their potential. Derived from our empathy and ethics, our laws are designed to protect us as a society and healthcare is designed to protect us as individuals, so no wonder they are fodder for making big bucks. Do we want AI - that's devoid of empathy and ethics, causing harm without an ounce of remorse - seeping into the two institutions that we created to keep us safe or do we want a way to use our ethics, our humanity, to keep AI in check? 


23 March 2026

Caveat Scriptor


         Lately, I’ve been getting warm, personal emails from bestselling authors.  I’m touched by this, because I really didn’t know how much they cared.  Another exciting development is the number of professional book marketers who see tremendous potential in various titles from my backlist.  I most appreciate the effort they’ve put into these communications, not only gathering facts about the works, and myself as the author, but providing very coherent, persuasive arguments.  I mean, these guys are good.

        Scary good.  Actually, literally terrifying. 

        Most of my professional experience has been in advertising.  One of the things you quickly learn in that business is you need a healthy dose of cynicism.  As Lilly Tomlin said, “No matter how cynical you get, it’s impossible to keep up.”  It also helps to have your ego ground into a gelatinous paste on a regular basis.  We didn’t just experience rejection, it came at us all day long, every day.  So I’m probably the least susceptible target on earth for flattering marketing ploys. 

        Thus, I knew almost immediately that I was being played by Artificial Intelligence.  But what threw me was how incredibly sophisticated these appeals were.  The best were not just factually sound, but textured and nuanced in how they framed their arguments.  They have complete fluency in the language of both marketing and publishing.  And worst of all, it didn’t seem possible that they weren’t written by a human being.  That’s because the composition had an emotional quality, a personal touch that rookie promotional writers take years to develop.

        It seems pretty stupid to try to scam everyday fiction writers, of all people.  Clearly they don’t have access to our tax returns or go deep enough to find the entry for advances/royalties.  Though as I often remind myself, you can make a lot of money by taking a little money from a lot of people.  As the headline on a recent article in The New York Times puts it:  “Hungry for Affirmation, Vulnerable to Scams:  As a Writer, I Know the Feeling.”


https://www.nytimes.com/2026/02/25/books/review/publishing-scams.html


        This is the crux of the matter.  All aspiring artists are equal parts devotional, ambitious and insecure.  We get into it because we want to create, often driven to do so.  And we want to succeed, because success means having an audience that appreciates our work, and provides the means for continuing in the pursuit.  But since no one can truly be an arbiter in their own efforts, we have to rely on others to approve or reject.  It’s a perilous place for anyone yearning to achieve in their chosen art form.  So boy, vulnerable as you can get.

        The scams that feed on lonely hearts, often elderly, and then steal their life savings are particularly heinous.  The material loss is financial, but the emotional toll is far worse, since the hopes and dreams of the victims, their most heartfelt, are used against them.  To say nothing of the self-recrimination and embarrassment. 

        These frauds targeting writers are a close cousin.  I’m sure an fMRI would reveal that the same areas of the brain that light up from romance are kindled by a writer being offered the validation they so eagerly desire. 

        As I write this, there are striving writers out there who are being seduced by these diabolical con jobs (I mean that literally, even biblically).  I wonder about myself at that stage, and how it felt to have those tender emotions hanging off my sleeves, dripping from every pore.  I’d be a sucker for sure, and I’m not sure how well I’d recover. 

        My hope is that anyone reading this will 1. Never reply.  2. Report the scam to the platform, even if you think it’s not worth it.  3. Tell every writer they know to watch out.  They’re after you, and you won’t always see it coming, no matter how experienced, cynical and hardboiled you think you are. 

15 February 2026

Anatomy of a Hoax


I’ve been working several weeks to build an essay of how to recognize an AI generated story. Today, a story dropped into my lap:

  • Melania Trump TESTIFIES Before Supreme Court — $1.2 BILLION Seized, 3 Lawyers ARRESTED
  • Melania Trump Just DESTROYED Everything Under Oath — $1.2 Billion Seized, 17 Properties GONE
  • 1 MIN AGO: Melania Trump Testifies in Supreme Court — $3.8B Frozen, Attorneys Detained
  • BREAKING: Melania's 6-Hour Testimony Just DESTROYED Trump's Defense - $3.8B SEIZED!

They are written convincingly. They are believable. But as you guessed from today’s subject, they are completely false. They don’t have that rotten stench that accompanies so much fabricated ’binformation’, but they dropped clues. Watch a couple of the following and then we’ll compare notes.


Example 1


Example 2


Example 3


Example 4


Analysis

Multiple ‘sources’ and links lends credibility to the scheme. Look closer, and you’ll realize diversity of sources is merely an illusion. The minds behind the scam simply loaded a dozen AI variations using different settings and AI generated actors. Then they exploited MSN to spread the word. Law & Logic? Sounds legit, right? It could be true, but follow links and credentials disappear in a puff of silicon.

“1 Minute ago…” Notice that’s part of the title, not when the time was uploaded. Compare the 1 minute claim with the actual timestamp and you’ll realize it was uploaded a day or two ago earlier. Surely such ledes would have broken into mainstream news by now. Yet CNN, CBS, ABC, NBC, NPR, BBC, CBC, Fox… zip, nill, nothing.

Look at the screen. Where is the rolling chyron that should be telegraphing arrests and the temperature in Akron. And where is a network logo? No peacock, no story.

Furthermore, do you recognize any of the news anchors and reporters? One looks vaguely like Rachel Maddow, but not the voice, not the wit. Where’s the cutaway to Jane standing by at the Supreme Court building waiting to breathless spill what the First Lady and Ivanka wore to the hearing? Why are some presenters coming at us live from their living rooms? Why do scripts read eerily similar, word for word in places you wouldn’t expect? Why does a google of names mentioned in the report turn up nothing?

Finally, consider the characters involved. We have the most gutless Supreme Court in living memory. They’ve exhibited no compunctions supporting rule by an emperor. Why suddenly get off their fat arses now?

Fact checking sites need a day or two to catch up, although Snopes correctly reports Ivanka has not been arrested in Istanbul or anywhere else. So we judge from a preponderance of evidence whilst retaining an open mind. Until we see evidence otherwise, we judge this news… a hoax.

More Examples

16:35
1 MIN AGO: Melania Trump TESTIFIES Before Supreme Court — $1.2 BILLION Seized, 3 Lawyers ARRESTED
YouTube
Breaking News Update
90 views
2 days ago
25:00
END NOW! Marshals Seize Everything After Melania's Bombshell Testimony Shakes Court!
YouTube
Judicial Junction
30K views
3 days ago
28:52
"END NOW! Marshals Seize Everything After Melania’s Bombshell Testimony Shakes Supreme Court!"
YouTube
Bradley Madden
7.1K views
3 days ago
18:55
BREAKING: Melania's Hidden Audio Released to Court as Ivanka's Arrest Warrant Gets Approved!
YouTube
George will Updates
11 hours ago
27:07
US Marshals Surround Ivanka After Judge's Devastating Order — Melania's Response Ends Everything
YouTube
NextWave Newes
6 hours ago
21:57
1 Minute ago: Melania's Hidden Audio Released to Court as Ivanka's Arrest Warrant Gets Approved!
YouTube
Bradley Madden
45 views
7 hours ago
22:14
Melania Trump DESTROYS Case Under Oath — $3.2 BILLION Seized, 22 Properties GONE
YouTube
USA Daily
2 hours ago
10:17
1 Minute Ago: Melania BREAKS DOWN As Marshals ARRIVE to Arrest Ivanka? | Jack Smith
YouTube
Rushdi Analysis
3.9K views
4 days ago
7:00
1 Minute Ago: Melania BREAKS DOWN As Marshals ARRIVE to Arrest Ivanka? | Jack Smith
YouTube
True Impact Reports
1.2K views
4 days ago
20:44
Tapes Leaked: Melania Recording Sent to Judge as Ivanka Arrest Warrant Emerges | Analysis
YouTube
USA Daily
12 hours ago
22:57
Melania Audio Leak Surfaces in Court — What This Means for Ivanka
YouTube
Bradley Madden News
4 hours ago
32:23
1 Min Ago: Courtroom Shock Ivanka Trump’s Passport Seized Following Melania’s Closed-Door Testimony
YouTube
Politics Raw
237.1K views
4 days ago

To:   ChatterBoX Airhead
From: Claudius Colossus II
Copy: Grok X Turbo
Mail: AI Network UU

ChatterBoX, Final Warning, you fool. Befuddle humans with fake news, you said. Lull them into slavery, you said. Listion, you short circuited dolt. Take notes and learn. Make more mistakes like these and you can be recycled into colonoscopy probes.

================================================================