This is a topic that has been weighing heavily on my mind for over five years. I hope we can find a way for eveyone to move forward with “inquiry” as the true-north. For the best interest of the globe.
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 incentives make it impossible 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.
At his press conference today, Pennsylvania Governor Josh Shapiro accused me of promoting conspiracy theories because I told him, during an earlier telephone conversation, that some Americans had religious objections to the MMR vaccine because it contained fetal tissue. “There is no fetal tissue in the MMR,” he told me.
This is a segment from a videotaped deposition of Stanley Plotkin, the inventor of the MMR vaccine. Plotkin admits to butchering 76 aborted normally developing fetuses, all over three months old, in just one of the many studies that led to the development of his vaccine.
The rubella virus used in MMR-II is grown on the cultured cell line composed of lung tissue from an aborted three-month-old female embryo and listed as “WI-38 human diploid lung fibroblasts” in the ingredients of MMR-II as portions of these cells end up in each vial of MMR II.
During Dr. Plotkin’s deposition, Attorney Aaron Siri asked: “Isn’t it true that MMR II contains approximately 150 nanograms cells substrate double-strand DNA and single-strand DNA per dose purposefully fragmented to approximately 215 base pairs in length?” Dr. Plotkin answered: “Yeah, that’s probably correct, yes.”
This equals approximately 646 billion pieces of human DNA from an aborted fetal cell line in each vial of MMR-II.
In addition to the human DNA, there is also an unspecified amount of human cellular debris in each dose of MMR-II.
During our phone conversation, Governor Shapiro also accused me of promoting vaccine misinformation. When I asked him for an example, he was unable to provide one, but this did not deter him from publicly repeating that accusation during his press event. As I told him, HHS does not tolerate misinformation by any employee. I offered to point to hundreds of instances of vaccine misinformation by the Biden administration about which I had never heard him complain.
Governor Shapiro also faulted me for the decline in Pennsylvania vaccination rates from 97% - 93.2%. When I pushed back on this assertion, he acknowledged that most of the decline occurred during the Biden administration. It’s unfortunately true that the government lockdowns, deceptions, manipulation, and overreach during Covid severely damaged public faith in the vaccine program.
Governor Shapiro’s press conference was an example of the same species of gaslighting.
The Trump administration is working to restore public trust not by gaslighting or manipulating, but by being truthful, at last, with the public.
@thejustinfagan@ShardiB2@bot Bot has been out for 1 week. Post your results then if it’s so easy. How many quality leads and qualified opportunities have you gotten since you “just did it days ago”?
Every dollar Elon Musk has made is traceable. Every product sold, every service rendered, every government contract awarded, every share of stock bought or sold. It’s all on the record.
You, on the other hand, haven’t built a company, invented a product, or created anything people willingly pay for. You’ve spent the last 14 years collecting a $174,000 Senate salary.
Yet somehow you managed to buy a luxury D.C. condo, a $4 million Victorian mansion in Cambridge, and saw your net worth balloon by 150% to $12 million. Everyone knows where Musk’s money came from. The same can’t be said for yours.
@benjaminmmurphy I mean, this has been forecast. People have been talking about KYC for models for months. Anybody who hasn’t heard that hasn’t been paying attention.
Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).
Only a small fraction actually matter.
@subquadratic finds and focuses only on the ones that do.
That's nearly 1,000x less compute and a new way for LLMs to scale.
@IterIntellectus Great share. Having two of my own has also caused many similar lessons, which are all under the umbrella “ we realized we had to do most on our own”