not kevin retweeted
I have conducted an audit of Anthropic's finances.
What I have found is so shocking that I am calling for a Congressional investigation.
Anthropic is not just seeking regulatory capture.
It has built a regulatory capture machine that cannot be turned off.
Structural financial ssible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle.
It starts with METR.
Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models.
He proposes METR for this purpose.
But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock.
Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio.
And GVF is the overwhelming funder of the entire Anthropic Network ecosystem.
This stock was worth $500 million early last year.
It is worth more than $7.7 billion just ~16 months later.
METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth.
Because if Anthropic goes under, many of the organizations that fund METR go under as well.
But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much.
The "third-party evaluator" is not "third-party" at all.
The evaluator is on Anthropic's payroll.
If this were the end of it, that's bad.
But that isn't all.
The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom.
The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others.
They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's.
All of these organizations are financially dependent on the same exploding $7 billion money pile.
As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder.
Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created.
From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts.
This itself is an objective fact.
The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it.
But the problem also goes in the other direction:
If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die.
Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen.
Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly.
They simply are not organizations independent of Anthropic.
And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly.
What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations.
The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture.
And that feedback loop is winning.
That's what Jacob Coxon is.
China is keeping messaging tight. That is why optimism for AI is so high in China.
America has Anthropic: a massive company pushing anti-AI propaganda at a state level.
Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences.
Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully.
It is the mirror of the same AI virus that it hypothesizes to consume America.
Anthropic's business model, models itself after the very thing it claims to fear.
Except Anthropic's ideology infects humans, not computers.
Congress must investigate.
Evidence and Github in next post.
Then some supplementary figures.
What I have found is so shocking that I am calling for a Congressional investigation.
Anthropic is not just seeking regulatory capture.
It has built a regulatory capture machine that cannot be turned off.
Structural financial ssible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle.
It starts with METR.
Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models.
He proposes METR for this purpose.
But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock.
Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio.
And GVF is the overwhelming funder of the entire Anthropic Network ecosystem.
This stock was worth $500 million early last year.
It is worth more than $7.7 billion just ~16 months later.
METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth.
Because if Anthropic goes under, many of the organizations that fund METR go under as well.
But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much.
The "third-party evaluator" is not "third-party" at all.
The evaluator is on Anthropic's payroll.
If this were the end of it, that's bad.
But that isn't all.
The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom.
The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others.
They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's.
All of these organizations are financially dependent on the same exploding $7 billion money pile.
As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder.
Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created.
From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts.
This itself is an objective fact.
The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it.
But the problem also goes in the other direction:
If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die.
Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen.
Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly.
They simply are not organizations independent of Anthropic.
And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly.
What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations.
The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture.
And that feedback loop is winning.
That's what Jacob Coxon is.
China is keeping messaging tight. That is why optimism for AI is so high in China.
America has Anthropic: a massive company pushing anti-AI propaganda at a state level.
Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences.
Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully.
It is the mirror of the same AI virus that it hypothesizes to consume America.
Anthropic's business model, models itself after the very thing it claims to fear.
Except Anthropic's ideology infects humans, not computers.
Congress must investigate.
Evidence and Github in next post.
Then some supplementary figures.
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not kevin retweeted
astonishing blogpost from Shengyu Liu (刘胜与, also known as interestingLSY/intlsy), kernel engineer at DeepSeek. The first part is his personal struggle with the fact that his work is about to render his beloved craft obsolete. The second is…
well. let's just say we agree.
well. let's just say we agree.
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not kevin retweeted
MUST SEE: Amazing moment as President Trump calls Nvidia CEO Jensen Huang while he's on stage at the All-In Summit.
@POTUS on AI Doomerism: “I'm telling you, it's all a hoax… and we're not going to let that happen.”
@POTUS on AI Doomerism: “I'm telling you, it's all a hoax… and we're not going to let that happen.”
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not kevin retweeted
this is Dario and sama's worst nightmare -
A law firm buying Nvidia servers.
Latham & Watkins is building an in-house AI stack..
this is US’s second-largest law firm with $8.3 Billion in revenue last year
And now it has -
- Nvidia hardware it controls
- open-weight models it can fine tune
- proprietary legal data it is trusted to protect
- infrastructure only Latham employees can access
A law firm has decades of contracts, negotiations, client context, legal reasoning, and institutional knowledge.
They dont want to give all of that away to OpenAI or Anthropic in exchange for expensive tokens..
And on top of that - risk their data being used to train frontier models..
This will happen more and more now..
The big AI labs have no moat.. nothing protecting their largest customers from moving on..
The biggest companies in the world will -
- own the compute
- own the data
- own the workflow
- fine tune the model around their business
- switch providers when the pricing or quality changes
Dario and sama want to make this illegal by bringing in regulation.. and become the AI overlords..
A law firm buying Nvidia servers.
Latham & Watkins is building an in-house AI stack..
this is US’s second-largest law firm with $8.3 Billion in revenue last year
And now it has -
- Nvidia hardware it controls
- open-weight models it can fine tune
- proprietary legal data it is trusted to protect
- infrastructure only Latham employees can access
A law firm has decades of contracts, negotiations, client context, legal reasoning, and institutional knowledge.
They dont want to give all of that away to OpenAI or Anthropic in exchange for expensive tokens..
And on top of that - risk their data being used to train frontier models..
This will happen more and more now..
The big AI labs have no moat.. nothing protecting their largest customers from moving on..
The biggest companies in the world will -
- own the compute
- own the data
- own the workflow
- fine tune the model around their business
- switch providers when the pricing or quality changes
Dario and sama want to make this illegal by bringing in regulation.. and become the AI overlords..
Latham & Watkins, the 2nd largest US law firm, is buying Nvidia hardware to fine-tune open weights in-house.
Open weights + proprietary data + local compute = enterprise sovereign AI stack.
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not kevin retweeted
We Must Pace the Press
By Johannes Gutenberg
I have spent years developing movable type because I believe the printing press can immeasurably improve mankind.
Books that once required years to copy can now be reproduced in weeks. Scripture, medicine, philosophy, and science can of dozens.
But the same machine that reproduces truth can reproduce falsehood. A libel that once reached twenty men may reach twenty thousand. A political tract can cross a kingdom before its subject knows it exists.
The danger is scale and speed.
For centuries, the difficulty of copying constrained the spread of information. The press removes that constraint. Worse, printed knowledge can teach others to build better presses. The technology accelerates itself.
We must therefore pace the press.
This does not mean stopping printing. The press cannot be uninvented. If Mainz refuses to print, Venice will. If Venice refuses, Paris will.
Instead, the most powerful presses should face greater scrutiny. Printers should permit independent inspection. Kingdoms should establish common standards so responsible printers are not punished for restraint. The greatest powers should coordinate against the most dangerous uses of mass printing.
Capability should determine precaution.
A workshop printing fifty schoolbooks poses little danger. A network capable of placing one hundred thousand inflammatory pamphlets across Europe in weeks deserves greater scrutiny.
The time gained through pacing should help society adapt. We need standards for authorship, methods for correcting errors, institutions capable of identifying falsehood, and readers educated to distinguish evidence from assertion.
For all of history, information has been scarce.
We are about to make it cheap.
The printing press may spread knowledge farther than any scholar has dreamed. It may also spread propaganda, religious conflict, fraud, and revolution at unprecedented speed.
Perhaps mankind will learn to manage these consequences. I believe it will.
But history need not arrive all at once.
We have built a machine that allows ideas to reproduce themselves.
We should give wisdom time to reproduce as well.
By Johannes Gutenberg
I have spent years developing movable type because I believe the printing press can immeasurably improve mankind.
Books that once required years to copy can now be reproduced in weeks. Scripture, medicine, philosophy, and science can of dozens.
But the same machine that reproduces truth can reproduce falsehood. A libel that once reached twenty men may reach twenty thousand. A political tract can cross a kingdom before its subject knows it exists.
The danger is scale and speed.
For centuries, the difficulty of copying constrained the spread of information. The press removes that constraint. Worse, printed knowledge can teach others to build better presses. The technology accelerates itself.
We must therefore pace the press.
This does not mean stopping printing. The press cannot be uninvented. If Mainz refuses to print, Venice will. If Venice refuses, Paris will.
Instead, the most powerful presses should face greater scrutiny. Printers should permit independent inspection. Kingdoms should establish common standards so responsible printers are not punished for restraint. The greatest powers should coordinate against the most dangerous uses of mass printing.
Capability should determine precaution.
A workshop printing fifty schoolbooks poses little danger. A network capable of placing one hundred thousand inflammatory pamphlets across Europe in weeks deserves greater scrutiny.
The time gained through pacing should help society adapt. We need standards for authorship, methods for correcting errors, institutions capable of identifying falsehood, and readers educated to distinguish evidence from assertion.
For all of history, information has been scarce.
We are about to make it cheap.
The printing press may spread knowledge farther than any scholar has dreamed. It may also spread propaganda, religious conflict, fraud, and revolution at unprecedented speed.
Perhaps mankind will learn to manage these consequences. I believe it will.
But history need not arrive all at once.
We have built a machine that allows ideas to reproduce themselves.
We should give wisdom time to reproduce as well.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must-p…
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Indeed
EA AI safetyism increasingly looks like Marxism-Leninism for the algorithmic age.
The old vanguard claimed privileged knowledge of the inevitable course of History. The new one claims privileged knowledge of the probabilistic course of Humanity.
Both use an elaborate intellectual framework to reach the same political conclusion: a small group of enlightened people must constrain everyone else for their own good.
That has never lead to anything except monumental human suffering.
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not kevin retweeted
"GPT-6 Astra, use Ableton Live and make an absolute banger".
AGI is here.
AGI is here.
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not kevin retweeted
If you want to learn about the actual history of the surveillance state and how we got here, I made a history page on panopticonindex.com that goes deep.
panopticonindex.com/history
panopticonindex.com/history
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not kevin retweeted
Fauci Senior Advisor David Morens pleads guilty to "Conspiracy to Commit Offenses and to Defraud the United States" in connection with conspiring with Fauci, Daszak, Keusch, and others to defraud the public about NIH-funded gain-of-function research and the origin of COVID.
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Will history forgive @JeffBezos for this? Only if he gets to rewrite it.
Anyone working at Amazon on this should be deeply ashamed.
Anyone working at Amazon on this should be deeply ashamed.
🦔404 Media placed a tracking device in a shipment of rare books and followed it across the country to an Amazon warehouse in Las Vegas. Inside, Amazon employees cut the spines off books, scan the pages for AI training data, and destroy the originals. Workers describe the job as receiving massive shipments and cutting bindings all day. The facility's logo is a dinosaur holding a book. Amazon confirmed it "purchases books through commercial channels to help develop and improve products." A court ruled that destroying the original copy strengthens the fair use argument for scanning.
My Take
Amazon is buying books from every marketplace it can find, at any price, in bulk orders of a thousand at a time, and booksellers say the buyers never haggle. The internet has already been scraped. Pre-2022 printed books are one of the last sources of clean human-written text guaranteed free of AI contamination, and the companies know it. Amazon isn't paying for the books because it wants books. It's paying because the text inside them is training fuel and there's less of it left than people think.
Most used books end up destroyed anyway, shredded by Goodwill or pulped by publishers who can't sell them. That's been true for decades. The difference is that Amazon is buying specific books it doesn't already have, working through the global ISBN list, scanning the text for AI training, and gutting the originals because a court said destroying the copy strengthens the legal case. Booksellers say these aren't collectors or libraries, they're companies on a systematic hunt for every printed book they haven't scanned yet. There's something about physically destroying books to train a chatbot that I can't get over, even after more than a year of covering this industry.
Hedgie🤗
404media.co/we-tracked-a-s…
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not kevin retweeted
With Dr. Anthony Fauci back in the news and testifying before @RandPaul's committee, recall this investigation we did. Project Veritas obtained never-before-seen Dept of Defense documents regarding gain-of-function research, the concealment of documents, and the suppression of tments. According to Project Veritas' 2022 reporting, the documents contradicted Dr. Fauci's testimony before Congress.
According to the documents, the Dept of Defense rejected EcoHealth Alliance's proposed coronavirus research because it was deemed "too dangerous" and "too close" to violating the gain-of-function research moratorium. According to the documents, the research later proceeded through NIAID under Dr. Fauci's leadership.
According to the documents, the Dept of Defense rejected EcoHealth Alliance's proposed coronavirus research because it was deemed "too dangerous" and "too close" to violating the gain-of-function research moratorium. According to the documents, the research later proceeded through NIAID under Dr. Fauci's leadership.
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