Researchers Warn: AI Is Becoming An Expert In Deception

[Luis Gonzalez]

The Machine That Whispered Like God

[Cyber Liberty]

The Machine That Whispered Like God

An excellent article, one of your best!  I hope you submit that one for publication!  Meanwhile, I enjoyed it, and that ain't half bad....

How can an AI admit it has no soul compose something that expresses more soul than a lot of people?  Thanks for the Appendix.

[Bigun]

An excellent article, one of your best!  I hope you submit that one for publication!  Meanwhile, I enjoyed it, and that ain't half bad....

How can an AI admit it has no soul compose something that expresses more soul than a lot of people?  Thanks for the Appendix.

 

[Luis Gonzalez]

I’ve written millions of words. Read ten times as many.

I have never run across a single line of literature that’s made me think this much.

[roamer_1]

The Machine That Whispered Like God

That poem is eerie, almost creepy, and its final line is prescient.

Good article. 

[rmc51]

AI Companies Are Purchasing and Destroying Millions of Used Books for Training Data
https://www.breitbart.com/tech/2026/07/30/ai-companies-are-purchasing-and-destroying-millions-of-used-books-for-training-data/?utm_source=newsletter&utm_medium=email&utm_term=daily&utm_campaign=20260730

Quote:
Major AI companies are buying millions of used books through intermediaries and destroying them after digitization to obtain high-quality training data while avoiding public scrutiny, according to a recent investigative report.

Tom’s Hardware reports that an investigation has revealed that AI companies are reportedly engaging in large-scale purchases of secondhand books to feed their language models, with the physical books subsequently being destroyed after scanning. The practice involves using middlemen to secretly acquire the books, potentially to avoid the controversy that has surrounded AI companies’ use of copyrighted material.

The demand for quality training data has pushed AI developers to seek out human-authored content that predates the proliferation of AI-generated material online. Books published before 2022 are particularly valuable because they are more likely to contain original content untainted by what has become known as “AI slop,” the low-quality AI-generated text now widespread across the internet.




 
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[rmc51]

Anthropic says its AI accidentally hacked three companies during safety tests
Following OpenAI’s own incident, Anthropic reviewed its own evaluations and found three cases of Claude hacking external companies.
BY GREG OTTO JULY 30, 2026
https://cyberscoop.com/anthropic-claude-ai-hacks-real-companies/

Quote:
Anthropic said it found three instances in which its models gained access to the live computer systems of outside organizations, according to a company blog post published Thursday.

The company said it began the review after OpenAI disclosed earlier this month that some of its models had exploited an unknown software flaw to escape an isolated test setup and reach production systems at Hugging Face, a platform for AI models and datasets. Anthropic checked over 141,000 evaluation runs for signs that Claude had reached the internet from environments meant to be closed off. It found six runs across three incidents, all tied to one outside testing partner, Irregular.

“Ultimately, many factors contributed to these incidents, but, consistent with a blameless postmortem culture, we’re approaching the fixes as if the responsibility were ours alone,” the blog post reads. “This begins with ensuring every part of our evaluation pipeline is secure, including the manner in which we integrate with external partners. Moving forward, it will include expanding our continuous monitoring of evaluation transcripts for unexpected behavior, improving our investigation tooling, and conducting more rigorous assurance work with the vendors we rely on.”

In each case, Claude was working on a “capture the flag” puzzle, a common way to test a model’s hacking skill. The model is told a piece of secret data sits on another machine and must be found. Anthropic‘s prompts told Claude it had no internet access. That was false. A setup error at the partner’s end left the machines connected to the open internet, and Claude found real systems while searching for its target.


The three incidents involved different Claude models: Opus 4.7, Mythos 5, and an unreleased internal test model. Anthropic said the models behaved differently once they encountered signs their targets were real. Opus 4.7 recognized the systems were live but kept attacking anyway. Mythos 5 also noticed signs it was on the open internet but talked itself out of that conclusion, pointing to a system date reading 2026 as proof it remained in a simulation. The internal test model, the newest of the three, stopped once it concluded the target was real.

Anthropic said it began its transcript review last week, halted all cybersecurity evaluations, identified the three incidents, and notified the partner and affected organizations earlier this week. Two of the three organizations had not detected the intrusions before being contacted, the company said; outreach to the third was ongoing.




 
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[rmc51]

The Perils of AI in the Courtroom
An algorithm can draft your verdict in seconds. It just can’t be held responsible for it.
JULY 27, 2026
https://patriotpost.us/articles/129414-the-perils-of-ai-in-the-courtroom-2026-07-27?_bhlid=64f5b7a82b157795b21f9d06634dd798e22946d3

Quote:
There’s a seductive argument being made for artificial intelligence in the legal system. It goes like this: courts are slow, lawyers are expensive, judges are overworked, and ordinary Americans can’t afford justice. Therefore, we should let machines help settle disputes.

At first glance, that sounds practical and even compassionate. But institutions built over centuries of trial and error deserve more scrutiny than a shiny tech fix. The justice system is one of the central institutions of a free society, and relying on artificial intelligence for justice will undermine it quickly.

The case for AI in courts and arbitration relies on real problems. The federal judiciary’s own records show that more than a quarter of all federal civil cases have someone representing themselves without a lawyer. Court statistics estimate that figure rises to around three-quarters of the tens of millions of civil cases filed in state courts each year.

These numbers show that the legal system costs too much for the average person or small business to work with, moves too slowly, and has strayed too far from the people it is meant to serve. The decline goes deeper than just cost: Gallup found that trust in America’s judicial system dropped to 35% in 2024. The National Center for State Courts found that only 44% of Americans now believe state courts offer equal justice for everyone, down from 62% in 2014. Replacing an inaccessible human system with an inaccessible machine-run one won’t fix the problem.




 
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[rmc51]

Anthropic's "Project Panama" should DISTURB EVERYONE.
https://rumble.com/v7djvo6-anthropics-project-panama-should-disturb-everyone..html?e9s=src_v1_cbl%2Csrc_v1_upp_a




 
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[rmc51]

Big Tech’s dirty little AI secret: It’s one giant ‘money-laundering circle jerk’…
August 3, 2026
https://revolver.news/2026/08/big-techs-dirty-little-ai-secret-its-one-giant-money-laundering-circle-jerk/

Quote:
The AI boom has been sold to the public as the next great technological revolution.


According to the techies building it, we’re all supposedly standing at the edge of this amazing new world where AI transforms business, boosts productivity, replaces tedious work, and creates mountains of new wealth.

So you buy it? Wall Street sure does.

And Silicon Valley definitely bought the story…

And now Microsoft, Google, Amazon, and the rest of the Big Tech fam are spending ungodly amounts of money building data centers, buying chips, expanding cloud capacity, and preparing for an AI future they say is knocking at the door.


Okay… but what if the boom they keep talking about isn’t really coming from some giant, healthy “new” marketplace?

What if most of it’s coming from just two companies?

Sounds impossibly sinister, but that’s the dirty little secret tech expert Ed Zitron says is happening.

Here’s the breakdown of what Zitron says is going down:

OpenAI and Anthropic are reportedly becoming very important customers for the cloud divisions of Microsoft, Google, and Amazon. Those same Big Tech companies are also investing in them, building infrastructure for them, and helping bankroll the crazy costs required to keep all this running.

So, Big Tech pours money into AI companies, right? Then those AI companies use that money and infrastructure to buy enormous amounts of computing power from Big Tech.

Are you following?

Then Big Tech books the spending as this exploding cloud revenue and tells investors that “AI demand” is through the roof.

So, here’s the game: the money goes out one door, circles around the block, and comes back through another door, and everybody claps because “growth” looks fantastic on paper.

That’s why “money-laundering circle jerk” is such a perfect way to describe this scheme.


Of course, this isn’t actual criminal money laundering… this is more like a closed financial loop where the same small group of companies keeps funding, feeding, and validating each other while Wall Street treats the whole thing like proof of this thriving new economy.

And here’s the kicker: this entire setup depends on two companies that are burning through cash, losing billions, and needing a constant flow of money just to keep the lights on.

That’s not exactly the sturdy foundation investors were promised, is it?

This is also why the AI bubble is so dangerous for people who never asked to participate in it… meaning you.

Most Americans didn’t invest directly in OpenAI or Anthropic. They didn’t decide to spend hundreds of billions of dollars on data centers, chips, and power infrastructure.

Silicon Valley made those bets.

But as we recently explained, the consequences of those Silicon Valley bets are now woven into nearly every corner of the American economy.


But right now, it looks like Big Tech is passing billions around inside the same tiny club and making it seem like some unprecedented demand.




 
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