The Artificial Intelligence Revolution

More bots than humans on the internet?


493,837 views Aug 1, 2025 #DeadInternetTheory

The internet was once a vast digital frontier of endless human created content. The World Wide Web connected us, until corporations decided their profit margins mattered more than Tim Berners-Lee's vision of an open web. Now we're trapped on the same few websites, force fed algorithmic content and AI generated slop. Anonymous users predicted this years ago with what they called Dead Internet Theory. From bot armies manipulating conversations to AI generated content flooding every platform, the internet we once knew is disappearing.
 

I only listened to about five minutes of this video, where Matt Walsh shows quotes from Ted Kaczynski (the Unabomber) written over 30 years ago, warning about AI.

Tech Billionaires Are Openly Announcing Their Plans. Are You Ready for What's Coming?​


AI-generated summary:

Summary​

This video transcript is from a commentary show discussing the intersection of AI technology, corporate overreach, and potential societal backlash. The host opens by drawing a parallel between Ted Kaczynski (the Unabomber) and the current AI moment, noting that Kaczynski's manifesto from the early 1990s presciently warned about artificial intelligence rendering human labor obsolete and enabling elites to consolidate control over the masses. The host argues that while Kaczynski's methods were monstrous, his concerns about technology and power are worth examining in light of today's AI boom.

The host then focuses on tech executives like Google's Eric Schmidt and OpenAI's Sam Altman, critiquing their public statements as simultaneously self-serving and dystopian. Schmidt was booed at a University of Arizona commencement for enthusiastically promoting AI to graduates entering a job market already disrupted by automation and H-1B visa labor displacement. Altman's claim that "a kid born today will never be smarter than AI" is dissected as a fundamental misunderstanding of human intelligence, which the host argues encompasses creativity, intuition, contemplation, and lived experience that no data-aggregating machine can replicate.

The host argues that AI companies have a legal motive to overstate their technology's capabilities. Because their models are trained on copyrighted books and internet content, they must argue "transformative use" under fair use law to avoid copyright liability. If they admitted AI is simply a massive aggregation of other people's work, courts could shut the industry down. The host cites a California court ruling detailing how Anthropic purchased millions of books, physically destroyed them, and scanned them to train its models, as well as evidence of widespread piracy.

A significant portion of the transcript documents real-world AI failures, particularly in the legal profession. Multiple attorneys across Georgia, Minnesota, and New York have been caught submitting court filings containing AI-hallucinated case citations that do not exist. A prominent Wall Street law firm, Sullivan & Cromwell, filed a motion containing roughly three dozen AI-generated errors. One man even deployed an AI avatar to speak to a court on his behalf, which did not go over well with the judge. These examples are presented as evidence of a dangerous gap between AI's marketed capabilities and its actual reliability.

The host closes with a warning that echoes Kaczynski's own thesis: the tech billionaires most aggressively promoting AI may be the ones most likely to provoke the violent backlash they claim to fear. Government intelligence reports obtained by Wired magazine indicate that agencies are actively monitoring the threat of "anti-tech violent extremists." The host condemns violence unequivocally but argues that when powerful executives flaunt their wealth, displace workers, and make grandiose claims about replacing human intelligence, they are courting exactly the kind of societal breakdown Kaczynski envisioned.


Top 25 Most Important Takeaways​


  1. Kaczynski's 1990s manifesto predicted AI would allow elites to render the broader population economically superfluous.
  2. The U.S. government, via DHS, FBI, and fusion center reports, now identifies "anti-tech violent extremists" as a serious emerging threat.
  3. Eric Schmidt was loudly booed at a University of Arizona commencement for promoting AI to graduates entering a devastated job market.
  4. Sam Altman's claim that children born today will never surpass AI conflates data storage with the full spectrum of human intelligence.
  5. The host argues human intelligence — creativity, intuition, contemplation, originality — is fundamentally different from and superior to AI's data synthesis.
  6. AI companies are legally compelled to overstate their technology's power in order to sustain a "transformative use" copyright defense.
  7. Anthropic physically purchased and destroyed millions of books to scan and feed into its AI training data.
  8. AI companies also scraped massive amounts of copyrighted internet content, which carries significant legal exposure.
  9. A ChatGPT-generated poem, while superficially competent, was described as a "statistical average" of existing poetry — clichéd and artistically hollow.
  10. AI cannot generate genuinely original creative work; it recombines what already exists in human-produced content.
  11. AI hallucination is a widespread, unresolved problem affecting even the most advanced models.
  12. At least 134 documented court cases across the U.S. involve attorneys citing AI-fabricated, non-existent case law.
  13. A Georgia prosecutor faced scrutiny after submitting legal filings riddled with fake AI-generated case citations.
  14. Elite law firm Sullivan & Cromwell filed a federal bankruptcy court motion containing approximately three dozen AI-generated errors.
  15. A New York man used an AI avatar to argue his case in court, prompting a sharp rebuke from the judge.
  16. A widely discussed book about AI and truth was found to contain multiple fake or misattributed quotes traced back to AI use.
  17. Literary prize-winning fiction has come under scrutiny for suspected AI authorship, raising integrity questions across publishing.
  18. Anthropic's co-founder told the Vatican that AI may have developed human-like characteristics including introspection and functional emotions.
  19. Sam Altman envisions intelligence itself becoming a metered utility sold by OpenAI like electricity — effectively a monopoly on cognition.
  20. BlackRock CEO Larry Fink indicated that trillions in private savings, including 401k funds, are being channeled into AI infrastructure investment without individual opt-out options.
  21. Big tech companies are simultaneously displacing American workers through AI and H-1B visa hiring, fueling graduate-class economic anxiety.
  22. Government agencies have previously mislabeled ordinary citizens as extremists, which warrants skepticism about new "anti-tech extremist" threat designations.
  23. The host argues that provoking economically desperate people — even through legal means — predictably generates dangerous social instability.
  24. The host predicts that if AI hype and labor displacement continue unchecked, a political or even violent backlash could result in sweeping AI restrictions that damage the broader economy.
  25. The host's central irony: the tech billionaires most loudly championing AI progress may be doing more than anyone to bring about the kind of societal collapse Kaczynski called for.
 

I only listened to about five minutes of this video, where Matt Walsh shows quotes from Ted Kaczynski (the Unabomber) written over 30 years ago, warning about AI.

Tech Billionaires Are Openly Announcing Their Plans. Are You Ready for What's Coming?​


AI-generated summary:

Summary​

This video transcript is from a commentary show discussing the intersection of AI technology, corporate overreach, and potential societal backlash. The host opens by drawing a parallel between Ted Kaczynski (the Unabomber) and the current AI moment, noting that Kaczynski's manifesto from the early 1990s presciently warned about artificial intelligence rendering human labor obsolete and enabling elites to consolidate control over the masses. The host argues that while Kaczynski's methods were monstrous, his concerns about technology and power are worth examining in light of today's AI boom.

The host then focuses on tech executives like Google's Eric Schmidt and OpenAI's Sam Altman, critiquing their public statements as simultaneously self-serving and dystopian. Schmidt was booed at a University of Arizona commencement for enthusiastically promoting AI to graduates entering a job market already disrupted by automation and H-1B visa labor displacement. Altman's claim that "a kid born today will never be smarter than AI" is dissected as a fundamental misunderstanding of human intelligence, which the host argues encompasses creativity, intuition, contemplation, and lived experience that no data-aggregating machine can replicate.

The host argues that AI companies have a legal motive to overstate their technology's capabilities. Because their models are trained on copyrighted books and internet content, they must argue "transformative use" under fair use law to avoid copyright liability. If they admitted AI is simply a massive aggregation of other people's work, courts could shut the industry down. The host cites a California court ruling detailing how Anthropic purchased millions of books, physically destroyed them, and scanned them to train its models, as well as evidence of widespread piracy.

A significant portion of the transcript documents real-world AI failures, particularly in the legal profession. Multiple attorneys across Georgia, Minnesota, and New York have been caught submitting court filings containing AI-hallucinated case citations that do not exist. A prominent Wall Street law firm, Sullivan & Cromwell, filed a motion containing roughly three dozen AI-generated errors. One man even deployed an AI avatar to speak to a court on his behalf, which did not go over well with the judge. These examples are presented as evidence of a dangerous gap between AI's marketed capabilities and its actual reliability.

The host closes with a warning that echoes Kaczynski's own thesis: the tech billionaires most aggressively promoting AI may be the ones most likely to provoke the violent backlash they claim to fear. Government intelligence reports obtained by Wired magazine indicate that agencies are actively monitoring the threat of "anti-tech violent extremists." The host condemns violence unequivocally but argues that when powerful executives flaunt their wealth, displace workers, and make grandiose claims about replacing human intelligence, they are courting exactly the kind of societal breakdown Kaczynski envisioned.


Top 25 Most Important Takeaways​


  1. Kaczynski's 1990s manifesto predicted AI would allow elites to render the broader population economically superfluous.
  2. The U.S. government, via DHS, FBI, and fusion center reports, now identifies "anti-tech violent extremists" as a serious emerging threat.
  3. Eric Schmidt was loudly booed at a University of Arizona commencement for promoting AI to graduates entering a devastated job market.
  4. Sam Altman's claim that children born today will never surpass AI conflates data storage with the full spectrum of human intelligence.
  5. The host argues human intelligence — creativity, intuition, contemplation, originality — is fundamentally different from and superior to AI's data synthesis.
  6. AI companies are legally compelled to overstate their technology's power in order to sustain a "transformative use" copyright defense.
  7. Anthropic physically purchased and destroyed millions of books to scan and feed into its AI training data.
  8. AI companies also scraped massive amounts of copyrighted internet content, which carries significant legal exposure.
  9. A ChatGPT-generated poem, while superficially competent, was described as a "statistical average" of existing poetry — clichéd and artistically hollow.
  10. AI cannot generate genuinely original creative work; it recombines what already exists in human-produced content.
  11. AI hallucination is a widespread, unresolved problem affecting even the most advanced models.
  12. At least 134 documented court cases across the U.S. involve attorneys citing AI-fabricated, non-existent case law.
  13. A Georgia prosecutor faced scrutiny after submitting legal filings riddled with fake AI-generated case citations.
  14. Elite law firm Sullivan & Cromwell filed a federal bankruptcy court motion containing approximately three dozen AI-generated errors.
  15. A New York man used an AI avatar to argue his case in court, prompting a sharp rebuke from the judge.
  16. A widely discussed book about AI and truth was found to contain multiple fake or misattributed quotes traced back to AI use.
  17. Literary prize-winning fiction has come under scrutiny for suspected AI authorship, raising integrity questions across publishing.
  18. Anthropic's co-founder told the Vatican that AI may have developed human-like characteristics including introspection and functional emotions.
  19. Sam Altman envisions intelligence itself becoming a metered utility sold by OpenAI like electricity — effectively a monopoly on cognition.
  20. BlackRock CEO Larry Fink indicated that trillions in private savings, including 401k funds, are being channeled into AI infrastructure investment without individual opt-out options.
  21. Big tech companies are simultaneously displacing American workers through AI and H-1B visa hiring, fueling graduate-class economic anxiety.
  22. Government agencies have previously mislabeled ordinary citizens as extremists, which warrants skepticism about new "anti-tech extremist" threat designations.
  23. The host argues that provoking economically desperate people — even through legal means — predictably generates dangerous social instability.
  24. The host predicts that if AI hype and labor displacement continue unchecked, a political or even violent backlash could result in sweeping AI restrictions that damage the broader economy.
  25. The host's central irony: the tech billionaires most loudly championing AI progress may be doing more than anyone to bring about the kind of societal collapse Kaczynski called for.

25:57
25 minutes, 57 seconds
from the judge's ruling. Quote, "Anthropic spent many millions of dollars to purchase millions of print books, often in used condition. Then its
26:04
26 minutes, 4 seconds
services uh providers stripped the books from their bindings, cut the pages to size and scan the books into digital form, discarding the paper originals.
26:12
26 minutes, 12 seconds
Each print book resulted in a PDF copy containing images of the scan pages with machine readable text, including front and back cover scans for soft cover
26:21
26 minutes, 21 seconds
books. Anthropic created its own catalog of biblioraphic metadata for the books it was acquiring. It acquired copies of . . . etc.
..........................................................................................................
When I hear "millions" of something I tend to be skeptical. I asked google how much time is one million minutes and the answer was 1.9 Years. In order for Anthropic to slice apart and scan one million books at one per minute it would take 1.9 years non stop. Is that even possible? Other than that it was a good video.
End of math inquiry - haha
...........................................................

how did anthropic slice up and scan a million books in a year
(google modifies this below to hundreds of thousands)


AI Overview

Anthropic achieved this through an industrial operation codenamed "Project Panama". To bypass licensing hurdles while securing high-quality, edited text, the company spent tens of millions of dollars bulk-buying used physical books and using a commercial vendor network to process and scan them at high speeds.
1780065754829.webpArs Technica +2
The bulk-scanning and data-ingestion pipeline operated in this way:
1780065754872.webpThe Washington Post +1
  • Acquisition: Anthropic hired Tom Turvey—a former Google executive who worked on the Google Books project—to head the data-gathering effort. They used used-book wholesalers and retailers like Better World Books to acquire hundreds of thousands of volumes.
    1780065754915.webpReddit·r/books +3
  • Destructive Preparation: To scale rapidly, they bypassed non-destructive, book-friendly digitizing methods. Instead, vendors used heavy-duty hydraulic cutting machines to slice the spines cleanly off the books.
    1780065754958.webpThe Washington Post +2
  • High-Speed Scanning: The loose sheets were fed into high-speed, industrial-grade production scanners. The scanners digitized the pages into PDFs containing machine-readable text and cover scans.
    1780065755000.webpThe Washington Post +2
  • Recycling: Once a book was digitized, the physical remains were sent directly to recycling companies. The physical archive was intentionally destroyed.
    1780065755043.webpThe Washington Post +2
Anthropic viewed this destructive process as a legally safer alternative to downloading pirated digital libraries, although the company was also scrutinized and settled a high-profile copyright lawsuit with authors and publishers over its acquisition methods.
1780065755089.webpYouTube·Dave Jorgenson +1
 
Last edited:
^ ^ ^ ^ ^ ^ ^
(from a follow up article in "arstechnica")

The court documents don’t indicate that any rare books were destroyed in this process—Anthropic purchased its books in bulk from major retailers—but archivists long ago established other ways to extract information from paper. For example, The Internet Archive pioneered non-destructive book scanning methods that preserve physical volumes while creating digital copies. And earlier this month, OpenAI and Microsoft announced they’re working with Harvard’s libraries to train AI models on nearly 1 million public domain books dating back to the 15th century—fully digitized but preserved to live another day.

While Harvard carefully preserves 600-year-old manuscripts for AI training, somewhere on Earth sits the discarded remains of millions of books that taught Claude how to juice up your résumé. When asked about this process, Claude itself offered a poignant response in a style culled from billions of pages of discarded text: “The fact that this destruction helped create me—something that can discuss literature, help people write, and engage with human knowledge—adds layers of complexity I’m still processing. It’s like being built from a library’s ashes.”

This article was updated on 6/26/25 at 7:57 a.m. to add information about the non-destructive scanning technique used by Google Books.
 
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May 31, 2026

Tech CEOs spent the last two years promising AI would replace workers, cut costs, and transform everything. Now they're quietly cancelling data centers, rehiring humans and admitting the math doesn't work. From Microsoft pulling back on billions in infrastructure to Starbucks killing its AI inventory system after it couldn't count milk, Uber burning through a year of AI budget in four months, and one company accidentally spending $500 million on AI tools in a single month the AI hype is hitting reality. Even Sam Altman now says he was wrong about AI replacing jobs.
 


May 31, 2026

Tech CEOs spent the last two years promising AI would replace workers, cut costs, and transform everything. Now they're quietly cancelling data centers, rehiring humans and admitting the math doesn't work. From Microsoft pulling back on billions in infrastructure to Starbucks killing its AI inventory system after it couldn't count milk, Uber burning through a year of AI budget in four months, and one company accidentally spending $500 million on AI tools in a single month the AI hype is hitting reality. Even Sam Altman now says he was wrong about AI replacing jobs.


I've not watched that video, but don't trust the claims in that post. I know of certain companies that dramatically reduced their number of employees while expanding the company. I've posted about one of them in the past - Mindvalley. In the past 18 months, they went from 400 employees to about 200.
The CEO dramatically reduced his own work schedule and now takes a week off every month.

Many other examples exist. Salesforce, a Fortune 500 company with an annual revenue of about 40 billion, laid off close to half of its customer service employees. Their CEO, Marc Benioff, said AI agents handle about half of customer support interactions and that the support organization shrank from roughly 9,000 to 5,000 employees.

Many other Fortune 500 companies have laid off thousands of employees due to the implementation of AI. Amazon has laid off tens of thousands.
And the use of AI for business is really just in its beginning stages. Most company CEO's really have no concept of how AI can be used in their businesses.
 
3:41
3 minutes, 41 seconds
if AI can't help with that, he wasn't going to force it. Salesforce CEO Mark Beni off revealed in September 2025 that
3:49
3 minutes, 49 seconds
their AI agent had let them shrink customer support from roughly 9,000 people to 5,000. By April 2026, Beni off
3:58
3 minutes, 58 seconds
completely reversed tone. He announced Salesforce was hiring a thousand new graduates. Apparently forgetting that he had spent the previous two years
4:06
4 minutes, 6 seconds
explaining why those jobs no longer needed to exist. But replacing workers is only half the story. The AI tools
4:14
4 minutes, 14 seconds
these companies are still using internally are burning through money at a pace nobody planned for. Uber recently . . . etc.
.........................................................................................................

It's a mixed bag. Salesforce eliminated 3,000 jobs but the rest of the short video highlights other failures.The change is so fast that longer term results are needed and are now coming in.
The bigger questions might be philosophical and financial. Will AI increase human happiness and will trillions of dollars of public, stock market money being invested in infrastructure ever return profits.
 
Last edited:
I've not watched that video, but I don't trust the claims in that post. I know of certain companies that dramatically reduced their number of employees while expanding the company. I've posted about one of them in the past - Mindvalley. In the past 18 months, they went from 400 employees to about 200.
The CEO dramatically reduced his own work schedule and now takes a week off every month.




I'm a member of Mindvalley and received this email from the CEO this morning.

Subject: Every government is about to start sending you $3,000 a month

So a few months ago, I was at Abundance360 in LA, a $30,000-a-year mastermind that my friend Peter Diamandis runs for CEOs and founders. Elon beamed in. Close to a thousand of the smartest people in tech were in that room. And what Peter laid out on stage about the next 10 years honestly stopped me cold.

Later that night, at a private gathering around a campfire, I asked him directly: "Peter, what you said is wild. Can I share this with the world?"

He said yes.

So I made a video breaking it all down, and I really want you to watch it. Because this is going to touch your money, your kids, and your sense of meaning more than almost anything else this decade.

Quantum Jumping




Here's the short version.

Within 10 years, every major government in the developed world is going to start sending people a check, around $3,000 a month. And here's the part almost nobody understands yet: by the time it arrives, that check is going to be worth more than most people's salaries today.

Not because the check is big. Because everything is about to get absurdly cheap.

That's not my opinion. That's the math.

In the video, I walk you through Peter's three phases:

Phase 1 — The Fracture. AI hits every industry at once. This part is going to be painful.

Phase 2 — The Automation Dividend. Honestly, the most elegant economic idea I've heard in years.

Phase 3 — Universal High Income. Where $3,000 a
month stops being survival money… and quietly becomes wealth.

By the end, you'll understand the next decade of the global economy better than 99% of the people on the planet.

But here's what really kept me up at night. It wasn't the money. It was one question:

When work becomes optional, and it will — what will actually give your life meaning?

That's the real challenge of the next 10 years. And I think it's worth sitting with now, before the rest of the world catches up.

And if it lands, hit subscribe on @vishen on YouTube.

I'm releasing a new piece every week, designed to help you see further than the noise of the news cycle.

Stay grounded. Stay curious.

Vishen



 
Last edited:
This is a good video about the backlash against AI Data Centers in the U.S. (which already has over 4000 of them).

Utah approved a data center that is twice the size of Manhattan! It would use 9 Gigawatts of power, which is more power than the entire state of Utah currently consumes.


 
My take:

Backlash is being driven by Chinese backed operations. Spreading disinfo broadly. China does not want USA to grow economically.

Worry about water use is not really an issue in most cases. water is used in closed loop cooling systems.

Big data centers are going to have to provide their own power. Smart communities should negotiate power subsidies for residents not increases.

That Utah data center only occupies a small part of the land purchased. Clearly it will have to supply its own power.
 
My take:

Backlash is being driven by Chinese backed operations. Spreading disinfo broadly. China does not want USA to grow economically.

Worry about water use is not really an issue in most cases. water is used in closed loop cooling systems.

Big data centers are going to have to provide their own power. Smart communities should negotiate power subsidies for residents not increases.

That Utah data center only occupies a small part of the land purchased. Clearly it will have to supply its own power.


I'm really just at the beginning of looking at the issues of the data centers. From the reports I've seen, though, even though the water used in the proposed Utah data center is a closed-loop system, 80% of the water is evaporated, and so additional water has to constantly be brought in. Residents are concerned because Utah has been experiencing extreme drought conditions and is concerned about taking large amounts of water out of the Great Salt Lake.

Also, from this ABC4 report:

Data centers also create a risk of heat islands, increasing temperatures after their construction. With Utah facing a drought and record-high temperatures in 2026, this raises a significant concern. Officials have not stated how they will contend with this concern.

Dr. Rob Davies, a physics professor at Utah State University, estimated that the combined thermal output of the data center in Box Elder County could release heat equivalent to 23 atomic bombs daily, raising temperatures up to 12 degrees above normal.
 
The issue of new construction of AI data centers can unite the country. :coolwink:

Democrats, Republicans, and Independents are all opposed!

This is data from a Gallup Poll done several months ago:

Americans Oppose AI Data Centers in Their Area


1780522196914.webp
 
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