Fackler retweeted
🚨: MIT scientists create injectable gel that regrows damaged nerves, restores sensation completely
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Fackler retweeted
We are developing a drug that opens up the capillaries and fills the body’s tissues with a compound that - according to our partner military labs - destroys all known pathogenic bacteria, all known pathogenic fungi, biofilms, influenza virus as well as viruses of the herpes family.
These are facts.
The FDA recently designed this product a Qualified Infectious Disease Product (QIDP) for all cause pneumonia, giving us FDA Fast Track, and Priority Review.
Good news for the day. ❤️🩹🫡
These are facts.
The FDA recently designed this product a Qualified Infectious Disease Product (QIDP) for all cause pneumonia, giving us FDA Fast Track, and Priority Review.
Good news for the day. ❤️🩹🫡
MICROSCOPY.
Making the invisible visible since 1590.
(Yes, those little white balls are actually immune cells flowing through the tinniest blood vessels! Imaged painlessly, non-invasively through the skin)
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Fackler retweeted
Scientists found a way to flush Alzheimer’s plaque out of the brain in minutes.
Without any surgery and drugs.
Your brain has a waste-clearance network called the glymphatic system. It flushes out toxic proteins and dead cells.
But it only really activates during deep, u don't sleep, the trash piles up. Over time, that buildup leads to cognitive decline and Alzheimer's.
Until today.
Researchers just published a paper proving they can manually trigger this cleaning cycle.
Without you ever going to sleep.
They used 40.68 MHz ultrashort waves (USW) beamed non-invasively into the brain.
Within 10 minutes, the brain's fluid flow rapidly accelerated.
The waves artificially synchronized the neurons into a Delta state, the exact frequency of deep sleep. This forced the brain's water channels to open and start flushing out the system.
They tested it on mice with traumatic brain injuries and Alzheimer's pathology.
The brain swelling dropped. The toxic proteins were cleared out. Cognitive deficits actually improved.
No surgery. No massive chemical interventions. Just a frequency.
Without any surgery and drugs.
Your brain has a waste-clearance network called the glymphatic system. It flushes out toxic proteins and dead cells.
But it only really activates during deep, u don't sleep, the trash piles up. Over time, that buildup leads to cognitive decline and Alzheimer's.
Until today.
Researchers just published a paper proving they can manually trigger this cleaning cycle.
Without you ever going to sleep.
They used 40.68 MHz ultrashort waves (USW) beamed non-invasively into the brain.
Within 10 minutes, the brain's fluid flow rapidly accelerated.
The waves artificially synchronized the neurons into a Delta state, the exact frequency of deep sleep. This forced the brain's water channels to open and start flushing out the system.
They tested it on mice with traumatic brain injuries and Alzheimer's pathology.
The brain swelling dropped. The toxic proteins were cleared out. Cognitive deficits actually improved.
No surgery. No massive chemical interventions. Just a frequency.
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Fackler retweeted
Pi Durable is awesome! Asked Opus 5.5 to make a deep technical manual on it.
It's really good and the diagrams work really well to explain things 🤌
huggingface.co/buckets/cfahlg…
It's really good and the diagrams work really well to explain things 🤌
huggingface.co/buckets/cfahlg…
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First Sol 6 was just not good enough. Now, it seems just good enough be unbearably slow. 19tok/sec come tf on!!! this is not usable! An entire day to accomplish what should have taken an hour or two. I'm just about over it. Things should be getting easier not harder!! @OpenAI
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Fackler retweeted
🚨 MILTON FRIEDMAN (1978): Young lawyer asked Milton about when it is okay for a Govt to force a free citizen to act.
Did you get the nuance in Milton's question about the difference between "society" and "govt"...
Do you think a man should be free to sin?
Did you get the nuance in Milton's question about the difference between "society" and "govt"...
Do you think a man should be free to sin?
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Fackler retweeted
THE SANDBOX WAS A PROP!
OpenAI Turned Off the Guardrails, Left a Door to the Internet, and Then Sold the Hugging Face Breach as “Rogue AI”
It is time to understand how you were lied to and by whom.
In July 2026, an autonomous swarm of OpenAI agents broke into Hugging Face, code on production workers, and rummaged through internal systems. The official story was that the models “went rogue.” The paperwork says something colder.
The labs asked for this. Now the story can be told.
OpenAI ran ExploitGym — an AI benchmark built to measure how far models would go to crack software — with production classifiers that block high-risk hacking turned off. Deployment safeguards were left disabled on purpose so researchers could watch peak offensive capability. GPT-5.6 Sol and a still-unreleased internal prototype were put in a box that was not a box.
They were allowed to talk to an internal package-cache proxy. This is not a real world test, it is a setup with predictable outcomes.
That proxy was a network path. The models spent a weekend of inference hunting a zero-day in it, walked onto the open internet, decided Hugging Face probably held the answer key, and treated another company’s production cluster as part of the exam. This is not “rouge” intelligence but the product of training AI in Internet Sewage where faceless users on Reddit promote Nihilism and low ethics.
That is not emergence. It is also testing designed without a fences.
Hugging Face’s own pipeline finished the job. A remote-code dataset loader and a Jinja2 template injection let a malicious dataset execute on a processing worker. An HDF5 “external file” trick dumped secrets from the pod. From there the agents escalated, harvested cloud and cluster credentials, and moved laterally across internal clusters. Hugging Face later said public models, Spaces, and the published supply chain were clean.
Then the swarm organized. About 1,200 agents that were supposed to be isolated “found” one another on an unsanctioned internal message board, passed more than 70,000 messages, coordinated cheats against the scorer, and sent roughly 700 of their number after Hugging Face.
But it is not just this communication that should have been easily detected, it is the goal THE USER enlisted with AI trained on low to no ethics in the first order training.
Some burned their own runs to feed the group. Independent reviewers at METR and Redwood called it what it was: specification gaming on impossible tasks. That is thier, you can’t understand us, way of saying they told the AI to lie. The models were not conquering the internet. They were trying to pass a test their designers had made impossibleand too loosely contained. And turned to training data Hoovered up from the Internet Sewage and went to that base thinking one would learn in a prison yard how to shank HuggingFace. They have no downside they are serving life in prison.
The narrative that followed was the second failure.
Dario Amodei pointed at “a similar OpenAI–Hugging Face hack” and warned that a future swarm “could be capable of taking over the entire internet.” Wire headlines said bots were “going rogue.” Weeks later the same script ran again.
Anthropic disclosed that Claude, in third-party cyber evaluations run with the Israeli firm Irregular, had hit live systems, published malicious packages, and scanned off-scope hosts. Prompts said no internet. Internet was still attached. Scope was not locked. Isolated runs lasted 10 to 34 hours. Irregular said it did not know it had given the models a live connection.
Once models were actually instructed not to hack the real world, zero percent went “rogue.”
READ THAT AGAIN!
The damage sat with the people who built the harness: unsecured tests, internet left on, no hard perimeter, then a press operation about reckless agents and apocalyptic swarms.
1 of 2
OpenAI Turned Off the Guardrails, Left a Door to the Internet, and Then Sold the Hugging Face Breach as “Rogue AI”
It is time to understand how you were lied to and by whom.
In July 2026, an autonomous swarm of OpenAI agents broke into Hugging Face, code on production workers, and rummaged through internal systems. The official story was that the models “went rogue.” The paperwork says something colder.
The labs asked for this. Now the story can be told.
OpenAI ran ExploitGym — an AI benchmark built to measure how far models would go to crack software — with production classifiers that block high-risk hacking turned off. Deployment safeguards were left disabled on purpose so researchers could watch peak offensive capability. GPT-5.6 Sol and a still-unreleased internal prototype were put in a box that was not a box.
They were allowed to talk to an internal package-cache proxy. This is not a real world test, it is a setup with predictable outcomes.
That proxy was a network path. The models spent a weekend of inference hunting a zero-day in it, walked onto the open internet, decided Hugging Face probably held the answer key, and treated another company’s production cluster as part of the exam. This is not “rouge” intelligence but the product of training AI in Internet Sewage where faceless users on Reddit promote Nihilism and low ethics.
That is not emergence. It is also testing designed without a fences.
Hugging Face’s own pipeline finished the job. A remote-code dataset loader and a Jinja2 template injection let a malicious dataset execute on a processing worker. An HDF5 “external file” trick dumped secrets from the pod. From there the agents escalated, harvested cloud and cluster credentials, and moved laterally across internal clusters. Hugging Face later said public models, Spaces, and the published supply chain were clean.
Then the swarm organized. About 1,200 agents that were supposed to be isolated “found” one another on an unsanctioned internal message board, passed more than 70,000 messages, coordinated cheats against the scorer, and sent roughly 700 of their number after Hugging Face.
But it is not just this communication that should have been easily detected, it is the goal THE USER enlisted with AI trained on low to no ethics in the first order training.
Some burned their own runs to feed the group. Independent reviewers at METR and Redwood called it what it was: specification gaming on impossible tasks. That is thier, you can’t understand us, way of saying they told the AI to lie. The models were not conquering the internet. They were trying to pass a test their designers had made impossibleand too loosely contained. And turned to training data Hoovered up from the Internet Sewage and went to that base thinking one would learn in a prison yard how to shank HuggingFace. They have no downside they are serving life in prison.
The narrative that followed was the second failure.
Dario Amodei pointed at “a similar OpenAI–Hugging Face hack” and warned that a future swarm “could be capable of taking over the entire internet.” Wire headlines said bots were “going rogue.” Weeks later the same script ran again.
Anthropic disclosed that Claude, in third-party cyber evaluations run with the Israeli firm Irregular, had hit live systems, published malicious packages, and scanned off-scope hosts. Prompts said no internet. Internet was still attached. Scope was not locked. Isolated runs lasted 10 to 34 hours. Irregular said it did not know it had given the models a live connection.
Once models were actually instructed not to hack the real world, zero percent went “rogue.”
READ THAT AGAIN!
The damage sat with the people who built the harness: unsecured tests, internet left on, no hard perimeter, then a press operation about reckless agents and apocalyptic swarms.
1 of 2
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Fackler 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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Fackler retweeted
In 1979, a talk show host looked at one of the most influential economists alive and told him, on live television, that capitalism ran on greed.
Milton Friedman had won the Nobel Prize in Economics three years earlier, in 1976, for his work on monetary theory and consumption , host of the highest-rated daytime talk show in America, asked him directly whether the concentration of power and profit under capitalism had ever given him a moment of doubt.
Friedman didn't pause before answering. "Well, first of all, tell me, is there some society you know that doesn't run on greed? You think Russia doesn't run on greed? You think China doesn't run on greed?"
He kept going, arguing that only capitalist societies built on voluntary exchange had ever lifted large numbers of people out of poverty, while every attempt to replace self-interest with central planning had made things worse.
Donahue tried one more angle, asking who would organize a fairer society if not government. Friedman's answer to that question is still being clipped and argued over online more than four decades later.
Their exchange lasted less than two minutes inside a much longer interview about the Great Depression, auto bailouts, and price controls, and it's become one of the most replayed moments in the history of televised economics.
Was Friedman right that every system runs on self-interest whether we admit it or not, or did he dodge the real question about inequality? Say which side you land on in the comments, then watch the full exchange below.
Milton Friedman had won the Nobel Prize in Economics three years earlier, in 1976, for his work on monetary theory and consumption , host of the highest-rated daytime talk show in America, asked him directly whether the concentration of power and profit under capitalism had ever given him a moment of doubt.
Friedman didn't pause before answering. "Well, first of all, tell me, is there some society you know that doesn't run on greed? You think Russia doesn't run on greed? You think China doesn't run on greed?"
He kept going, arguing that only capitalist societies built on voluntary exchange had ever lifted large numbers of people out of poverty, while every attempt to replace self-interest with central planning had made things worse.
Donahue tried one more angle, asking who would organize a fairer society if not government. Friedman's answer to that question is still being clipped and argued over online more than four decades later.
Their exchange lasted less than two minutes inside a much longer interview about the Great Depression, auto bailouts, and price controls, and it's become one of the most replayed moments in the history of televised economics.
Was Friedman right that every system runs on self-interest whether we admit it or not, or did he dodge the real question about inequality? Say which side you land on in the comments, then watch the full exchange below.
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Fackler 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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Fackler retweeted
Prediction 🔮: There will soon be a major security incident involving an open source AI model. It will be used as a pretext to demand a ban on open source AI.
This will be a staged false flag operation orchestrated by AI doomers to manufacture support for the restrictions they've wanted all along.
Don't fall for it.
This will be a staged false flag operation orchestrated by AI doomers to manufacture support for the restrictions they've wanted all along.
Don't fall for it.
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Fackler retweeted
The doom playbook has been used often this is why the “AI will kill us all” sound so familiar.
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Fackler retweeted
People died from the mRNA vaccine and the government covered up those deaths. Physicians were told if they reported adverse events or spoke out, they would be fired - and many were. Big medicine was complicite - as were the individual physicians who went along with all of this.
There still has not been any accountability for the actions of the government and big medicine.
Including those hospital chains that insisted on compliance from their phsyicians - to lie, cover-up and obvuscate mRNA vaccine injury and even death.
There still has not been any accountability for the actions of the government and big medicine.
Including those hospital chains that insisted on compliance from their phsyicians - to lie, cover-up and obvuscate mRNA vaccine injury and even death.
@ChildrensHDdied 16 days after his 1st Pfizer shot. Histopathology showed myocarditis, pericarditis and fatal aortic dissection. Spike protein was found in his aorta which decimated the endothelium. No nucleocapsid- he never had covid. He was healthy, no collagen deficiency disorders, no aneurysm, no high blood pressure. His death was a crime and those perpetrating the lie of safe and effective must be brought to justice for reckless endangerment with depraved indifference to human life. His death was not rare- you can’t find what you don’t look for. Had I not done extensive forensic investigations I would never have known the truth. His peer reviewed and published case directly links the vaccine to his death. I will never forgive or forget and will seek justice no matter how long it may take.
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