TheDinarian
News • Business • Investing & Finance
The Great Cholesterol Scam and The Dangers of Statins
Exploring the Actual Causes and Treatments of Heart Disease
August 17, 2024
post photo preview

For "The Truth Shall Set You Free" file... ~Dinarian

Story at a Glance:

•There is a widespread belief that elevated cholesterol is the “cause” of cardiovascular disease. However, a large body of evidence shows that there is no association between the two and that lower cholesterol significantly increases one’s risk of death.

•An alternative model (which the medical industry buried) proposes that the blood clots the body uses to heal arterial damage, once healed, create the characteristic atherosclerotic lesions associated with heart disease. The evidence for this model, in turn, is much stronger than the cholesterol hypothesis and provides many important insights for treating heart disease.

•The primary approach to treating heart disease is to prescribe cholesterol lowering statin drugs (to the point, over a trillion dollars have now been spent on them). Unfortunately, the benefits of these highly toxic drugs are minuscule (e.g., at best taking them for years extends your life by a few days) and the harms are vast (statins are one of the most common pharmaceuticals that severely injure patients).

•In this article we will explore the specific injuries caused by statin drugs, the forgotten causes of cardiovascular disease, and our preferred treatments for heart and vascular diseases.

The more I study science, the more I come to see how often fundamental facts end up being changed so that a profitable industry can be created. In the case of heart disease, I very much believe that is the case and in this publication, I’ve tried to expose the erroneous information that predominates our understanding of this subject (e.g., previously I’ve discussed why our model of how the heart pumps blood in the body is incorrect and in an article that will be released in a few weeks, I will detail the major misconceptions about blood pressure management).

Within cardiology, I believe one of the most damaging falsehoods is that cholesterol causes heart disease and that taking statins (or their newer equivalents), which lower cholesterol, are the key to preventing heart disease. This is because, in addition to those “facts” being incorrect, statins are also some of the most dangerous and widely used pharmaceutical drugs on the market.

Cholesterol and Heart Disease

Frequently, when an industry harms many people, it will create a scapegoat to get out of trouble. Once this happens, a variety of other sectors that also benefit from that scapegoat existing will jump on the bandwagon. Before long, a false belief that harms society becomes an unquestionable dogma that becomes very difficult to overturn because many corrupt parties have a vested interest in maintaining the lie.

For example, various easily addressable factors (which often exist in the first place because they benefit an industry) are responsible for the chronic diseases we face in society and our vulnerability to infectious diseases (e.g., the obese and diabetics were much more likely to catch COVID-19). However, by saying all diseases result from insufficient vaccination, it gets all those destructive industries off the hook and creates a huge market for selling vaccines and treatments for these illnesses. Thus, since there are so many vested interests behind the vaccine paradigm, it is very difficult to overturn—despite the fact the existing evidence shows vaccinations are responsible for the massive epidemic of chronic disease that is sweeping our country.

In the 1960s and 1970s, a debate emerged over what caused heart disease. On one side, John Yudkin effectively argued that the sugar being added to our food by the processed food industry was the chief culprit. On the other side, Ancel Keys (who attacked Yudkin's work) argued that it was due to saturated fat and cholesterol.

Note: a case can also be made that the mass adoption of vegetable oils lead to this increase in heart disease. Likewise, some believe the advent of water chlorination was responsible for this increase.

Ancel Keys won, Yudkin's work was largely dismissed, and Keys became nutritional dogma. A large part of Key’s victory was based on his study of seven countries (Italy, Greece, Former Yugoslavia, Netherlands, Finland, America, and Japan), which showed that as saturated fat consumption increased, heart disease increased in a linear fashion.

However, what many don’t know (as this study is still frequently cited) is that this result was simply a product of the countries Keys chose (e.g., one author illustrated that if Finland, Israel, Netherlands, Germany, Switzerland, France, and Sweden had been chosen, the opposite would have been found).

Fortunately, it gradually became recognized that Ancel Keys did not accurately report the data he used to substantiate his arguments. For example, recently an unpublished 56 month randomized study of 9,423 adults living in state mental hospitals or a nursing home (which made it possible to rigidly control their diets) that Keys was the lead investigator of was unearthed. This study (inconveniently) found that replacing half of the animal (saturated) fats they ate with vegetable oil (e.g., corn oil) lowered their cholesterol, and that for every 30 points it dropped, their risk of death increased by 22 percent (which roughly translates to each 1% drop in cholesterol raising the risk of death by 1%)—so as you can imagine, it was never published.

Note: the author who unearthed that study also discovered another (unpublished) study from the 1970s of 458 Australians, which found that replacing some of their saturated fat with vegetable oils increased their risk of dying by 17.6%

Likewise, recently, one of the most prestigious medical journals in the world published internal sugar industry documents. They showed the sugar industry had used bribes to make scientists place the blame for heart disease on fat so Yudkin's work would not threaten the sugar industry. In turn, it is now generally accepted that Yudkin was right, but nonetheless, our medical guidelines are still largely based on Key’s work.

However, despite a significant amount of data that now shows lowering cholesterol is not associated with a reduction in heart disease (e.g., this studythis studythis studythis reviewthis review, and this review) the need to lower cholesterol is still a dogma within cardiology. For example, how many of you have heard of this 1986 study which was published in the Lancet which concluded:

During 10 years of follow-up from Dec 1, 1986, to Oct 1, 1996, a total of 642 participants died. Each 1 mmol/L increase in total cholesterol corresponded to a 15% decrease in mortality (risk ratio 0–85 [95% Cl 0·79–0·91]).

Note: when people are diabetic (which leads to the liver having to process too much sugar) the liver will convert to fat and then create more cholesterol to transport some of that fat. In these instances, I would argue the actual issue is an excess of sugar rather than elevated cholesterol levels it causes.

Statins Marketing

One of the consistent patterns I’ve observed within medicine is that once a drug is identified that can “beneficially” change a number, medical practice guidelines will gradually shift to prioritizing treating that number and before long, rationals will be created that require more and more of the population to be subject to that regimen. In the case of statins, prior to their discovery, it was difficult to reliably lower cholesterol, but once they hit the market, research rapidly emerged stating that cholesterol was more and more dangerous and, hence that more and more people needed to be on statins.

 

As you would expect, similar increases also occurred within the USA. For example, in 2008-2009, 12% of Americans over 40 reported taking a statin, whereas in 2018-2019, that had increased to 35% of Americans.

Given how much these drugs are used, it then raises a simple question—how much benefit do they produce?

As it turns out, this is a remarkably difficult question to answer as the published studies use a variety of confusing metrics to obfuscate their data (which means that the published statin trials almost certainly inflate the benefits of statin therapy), and more importantly, virtually all of the data on statin therapy is kept by a private research collaboration which consistently publishes glowing reviews of statins (and attacks anyone who claims otherwise) but simultaneously refuses to release their data to outside researchers, which has led to those researchers attempting to get this missing data from the drug regulators.

Note: as you might have guessed, that collaboration takes a lot of money from the pharmaceutical industry.

Nonetheless, when independent researchers looked at the published trials (which almost certainly inflated the benefit of statin therapy) they found that taking a statin daily for approximately 5 years resulted in you living, on average, 3-4 days longer. Sadder still, large trials have found this minuscule “benefit” is only seen in men. In short, most of the benefit from statins is from creative ways to rearrange data and causes of death, not any actual benefit.

Note: this is very similar to Pfizer’s COVID vaccine trial which professed to be “95% effective” against COVID-19, but in reality only created a 0.8% reduction in minor symptoms of COVID (e.g., a sore throat) and a 0.037% reduction in severe symptoms of COVID (with “severe” never being defined by Pfizer). This in turn meant that you needed to vaccinate 119 people to prevent a minor (inconsequential) case of COVID-19, and 2711 to prevent a “severe” case of COVID-19.

Furthermore, a clinical trial whistleblower later revealed that these figures were greatly inflated as many individuals in the vaccine group who developed COVID-19 like symptoms were never tested for COVID-19. Likewise, these benefits were fleeting as it was shown the “efficacy” of vaccines rapidly waned (disappearing a few months after vaccination). Worse still at six months of follow-up in
 both Pfizer's and Moderna's trials, more vaccinated than unvaccinated individuals died, and similarly a peer-reviewed reanalysis of Pfizer and Moderna's trial data showed that one was more likely to suffer a severe adverse event from the vaccine than a hospitalization from COVID-19.

In circumstances like these where an unsafe and ineffective but highly lucrative drug must be sold, the next step is typically to pay everyone off to promote it. For example, to quote Chapter 7 of Doctoring Data:

The National Cholesterol Education Programme (NCEP) has been tasked by the National Institutes of Health to develop guidelines [everyone uses] for treating cholesterol levels. Excluding the chair (who was by law prohibited from having financial conflicts of interest), the other 8 members on average were on the payroll of 6 statin manufacturers.

In 2004, NCEP reviewed 5 large statin trials and recommended: “Aggressive LDL lowering for high-risk patients [primary prevention] with lifestyle changes and statins.”

In 2005 a Canadian division of the Cochrane Collaboration [who were not paid off] reviewed 5 large statin trials (3 were the same as NCEP’s, while the other 2 had also reached a positive conclusion for statin therapy). That assessment instead concluded: “Statins have not been shown to provide an overall health benefit in primary prevention trials.”

Note: the primary reason no cure for COVID-19 was ever found was that the guideline panel for COVID-19 treatments was handpicked by Fauci, comprised of academics taking money from Remdesivir’s manufacturers. Not surprisingly, the panel always voted against recommending any of the non-patentable treatments for COVID-19, regardless of how much evidence there was for them.

Likewise, the American College of Cardiology made a calculator to determine your risk of developing a heart attack or stroke in the next ten years based on your age, blood pressure, cholesterol level, and smoking status. In turn, I’ve lost track of how many doctors I saw proudly punch their patient's numbers into it and then inform them that they were at high risk of a stroke or heart attack and urgently needed to start a statin. Given that almost everyone ended up being “high risk” I was not surprised to learn that in 2016, Kaiser completed an extensive study which determined this calculator overestimated the rate of these events by 600%. Sadly, that has not at all deterred the use of this calculator (e.g., medical students are still tested on it for their board examinations).

Note: one of the most unfair things about statins is that the healthcare system decided they are “essential” for your health, so doctors who don’t push them are financially penalized, and likewise patients who don’t take them are as well (e.g., through life insurance premiums).

So, despite the overwhelming evidence against their use, many physicians believe so deeply in the “profound” benefits of statins that they do things like periodically advocating for statins to be added to the drinking water supply.

In tandem, a cancel culture has been created where anyone who challenges the use of Statins is immediately labeled as a “statin denier” accused of being a mass murderer and effectively canceled. Recently, one of those dissidents, Dr. Aseem Malhotra British cardiologist who has also spoken out against the COVID vaccines went on Joe Rogan where he discussed that dirty industry and the remarkable parallels between how Statins and the COVID vaccines were pushed on the world:

Note: one of the most remarkable facts Aseem shared was that the previously mentioned statin collaboration (which militantly insists less than 1% of statin users experience side effects) also created a test one could utilize to determine if one was genetically at risk for a statin injury—and in their marketing for the test said 29% of all statin users were likely to experience side effects (which they then removed once attention was brought to it).

In addition to doctors being forced to follow these guidelines, patients often are too. Doctors often retaliate against patients who do not take statins (similar to how unvaccinated patients were denied essential medical care during COVID-19). Employers sometimes require cholesterol numbers to meet a certain threshold for employment (although they never did anything on the scale of the COVID-19 vaccine mandates placed on workers around America). Similarly, life insurance policies often penalize those with "unsafe" cholesterol numbers.

Statin Injuries

My primary issue with the statins is not the fact we waste billions each year on a useless therapy (approximately 25 billion per year in America alone). Rather, it’s the fact that they have a very high rate of injury. For example, the existing studies find between a 5-30% rate of injuries, and Dr. Malhotra, having gone through all the existing evidence estimates that 20% of statin users are injured by them.

Likewise, statins are well known for having a high percentage of patients discontinue the drugs due to their side effects (e.g., one large study found 44.7% of older adults discontinue the drugs within a year of starting them, while another large study of adults of all ages found 47% discontinued within a year)

Statins in turn, are linked to a large number of complications that have been well-characterized (e.g., mechanistically) and described throughout the medical literature.123456
One group of side effects are those perceived by the patient (which often make them want to stop using the medications). These include:

  • A high incidence of muscle pain1234567

  • Fatigue12 especially with exertion and exercise3

  • Muscle inflammation (whose cause remains “unknown”)12

  • Autoimmune muscle damage1234

  • Psychiatric and neurologic issues such as depression, confusion, aggression, and memory loss123456789

  • Severe irritability1

  • Sleep Issues2

  • Musculoskeletal disorders and injuries12

  • Sudden (sensorineural) hearing loss1

  • Gastrointestinal distress1

The other group are those not overtly noticed by the patient. These include:

  • Type-2 diabetes,12345 particularly in women 678

  • Cancer1234

  • Liver dysfunction and failure12

  • Cataracts12

  • ALS-like conditions and other central motor disorders (e.g., Parkinson’s disease and cerebellar ataxia)12345

  • Lupus-like syndrome1

  • Susceptibility to herpes zoster (shingles)123

  • Interstitial cystitis1

  • Polymyalgia rheumatica1

  • Kidney injury12

  • Renal failure1

From the moment I first encountered statin patients, I quickly noticed that they would report either numbness in their body, muscle weakness and pain, or impaired cognition, which began after they started the statin and resolved once they stopped using it. Remarkably, we also noticed that whenever they (or we) pointed this out to their doctor, the doctor would become extremely hostile, and then insist that the statin could not be causing the symptom (e.g., “because in all their years of practice, they had never had a patient who was injured by a statin”) and that even if it was harming them, the patient needed to stay on it because otherwise they would get a heart attack and die.

In turn, as the years went by, I saw increasingly elaborate excuses being created to protect the statins from an ever-increasing awareness of their dangers. For example, I lost count of how many doctors I knew who cited this 2016 study when patients stated they had been injured:

The nocebo effect, the inverse of the placebo effect, is a well-established phenomenon that is under-appreciated in cardiovascular medicine. It refers to adverse events, usually purely subjective, that result from expectations of harm from a drug, placebo, other therapeutic intervention or a nonmedical situation. These expectations can be driven by many factors including the informed consent form in a clinical trial, warnings about adverse effects communicated by clinicians when prescribing a drug, and information in the media about the dangers of certain treatments.

The nocebo effect is the best explanation for the high rate of muscle and other symptoms attributed to statins in observational studies and clinical practice, but not in randomized controlled trials, where muscle symptoms, and rates of discontinuation due to any adverse event, are generally similar in the statin and placebo groups. Statin-intolerant patients usually tolerate statins under double-blind conditions, indicating that the intolerance has little if any pharmacological basis. Known techniques for minimizing the nocebo effect can be applied to the prevention and management of statin intolerance.

Which, when translated into plain English means that the only reason people believe statins injured them is because they were tricked into imagining the injury, so the best solution is to tell them the symptoms are in their head. What I found remarkable about this study was that the doctors who cited it never considered that the nocebo effect could not apply as their patients were not aware things like muscle pain were associated with statins until they experienced them (and then looked up what was happening) or that the discrepancy in the observed rate of adverse events could also be explained by the fact the randomized controlled trials are always funded by the pharmaceutical industry and hence consistently cover up injuries that occur there.

Similarly, the thing that finally made me realize how impressive the marketing for these drugs had been was the recurring battle I would have with relatives. In each case, I would take them off a statin and provide a strong argument with data supporting why they should not be on the drug. At some point later, they would go to their doctor and inform them that their relative (me), who was a doctor, had taken them off the statin.

Their doctor (often a cardiologist), in turn, would tell my relative I was incredibly ignorant, insist they knew the data much better than I did, say I was endangering my relative’s health, and promptly restart the statin, to which my relative dutifully complied. In many cases, I would provide the cardiologist with literature supporting my argument. In each case, they would make an excuse not to read it while simultaneously asserting that they knew all the data and that I, not being a cardiologist, was unqualified to have an opinion on this subject. This made me appreciate just how challenging a situation patients (without access to the resources my relatives had) were in.

If you take this story and replace “statin” with COVID-19 vaccines, you will see it is essentially what everyone has experienced over the last three years with the vaccines. I suspect this is because, before the COVID-19 vaccines, statins were one of the most profitable medical franchises and, thus amongst the medications most aggressively pushed on patients.

Note: two adverse event reporting systems exist for adverse reactions to pharmaceuticals, MedWatch and FAERS. Like VAERS, they suffer from severe underreporting (it is estimated only 1-10% of adverse events are reported to them). The author in the next section was able to find hundreds to thousands of reports for many of the statin injuries in MedWatch that matched what he had personally observed. However, despite these reports existing, nothing has been done with them, and there is almost no knowledge within the medical community that these adverse events exist.

The Statin Damage Crisis

Throughout this publication, I have tried to make the point that less severe reactions to a toxin are much more common than severe ones. Because of this, if you see a cluster of severe reactions, it indicates that far more, less severe reactions are occurring as well (which is how after learning of a few people in my circle dying suddenly from the COVID vaccines, I was able to correctly predict the scale of the non-fatal injuries that would hit America).

Likewise, if you see a large number of less severe reactions to a pharmaceutical (e.g., the statin-induced muscle and nerve damage), you can predict far more severe injuries are lurking in the background. As the longer list of adverse events I shared above demonstrates, this unfortunately is true for statins. In the next two sections, I will quote one of the best books I have found on this subject:

“Many statin victims say that abruptly, almost in the blink of an eye, they have become old people.”

Duane Graveline MD was started on a statin and soon after developed global amnesia (which is really scary). He decided to stop the statin and recovered.

When I suggested, on the basis of my 23 years as a family doctor, that perhaps my new medicine was the cause of my amnesia, the neurologist replied, almost scoffingly, that "Statins do not do that." He and many other physicians and pharmacists were adamant that this does not occur.”

Eventually, he was persuaded to try again.

The year passed uneventfully and soon it was time for my next astronaut physical. NASA doctors joined the chorus I had come to expect from physicians and pharmacists during the preceding year, that statin drugs did not do this and at their bidding I reluctantly restarted Lipitor at one-half the previous dose. Six weeks later I again descended into the black pit of amnesia, this time for twelve hours and with a retrograde loss of memory back to my high school days.

Later he discovered:

Perhaps stockholder loyalty explains why Pfizer management knew over a decade ago, during the first human use trial of Lipitor, of the cognitive impact to come when Lipitor was released to the public. Of their 2,503 patients tested with Lipitor, seven experienced transient global amnesia attacks and four others experienced other forms of severe memory disturbances, for a total of 11 cases out of 2,503 test patients. This is a ratio of 4.4 cases of severe cognitive loss to result from every 1000 patients that took the drug. Not one word of warning of this was transmitted to the thousands of physicians who soon would be dispensing the drug.

Because of this and other debilitating long-term complications (e.g., previously an extremely fit individual, he developed chronic exhaustion), Graveline became an expert on statin injuries and, in 2014, wrote The Statin Damage Crisis. Many of the points he raised there explain why statins are so dangerous, but unfortunately, are virtually unknown within the medical field.

Statin Mechanisms of Harm

 

Statins work by inhibiting an easy to target enzyme that is necessary for the production of cholesterol. Unfortunately, blocking that enzyme disrupts a variety of other vital physiologic processes. Let’s review what that enzyme does:

 

As these compounds are essential for the body, understanding statin toxicity hence requires us to understand what happens when each of these goes missing.

Cholesterol

Cholesterol has a few different essential functions in the body. These include:

• It is the precursor to many different hormones.

• The brain’s synapses (which, amongst other things, form memories) require cholesterol to function. Since cholesterol is too big to enter the brain, glial cells (support cells of the nervous system) synthesize it within the brain. Statins, unfortunately, inhibit glial cell production of cholesterol.

• Cognition, in turn, is highly dependent upon cholesterol. For example, one study found that minor cognitive impairment could be detected in 100% of statin users if sufficiently sensitive testing was done (which again illustrates how minor injuries are more common than severe ones). Likewise, a variety of more severe adverse effects on cognition are also observed such as amnesia, forgetfulness, confusion, disorientation, and increased senility.

Their patient’s rapid descent into dementia after a statin is started is much too often written off by their doctor as senile brain changes or beginning Alzheimer's when the real culprit is their statin drug.

Note: one of the sadder side effects we have frequently observed from the COVID-19 vaccines has been a rapid cognitive decline in the elderly (who cannot often advocate for themselves). When this happens, like statin damage, it is always assumed to be due to “their age” and ignored.

In addition to cognitive impairment, numerous studies have found a significant association between low or lowered cholesterol levels and violence. Likewise, statin dementia is often characterized by aggression.

Finally, one of the most concerning side effects of statins is their tendency to cause ALS (a truly horrible rare disease—curiously also seen in association with the COVID-19 vaccines). This correlation is further supported by many reports of statin ALS improving once the statin is stopped.

Unfortunately, while statin cognitive decline frequently improves when the statin is stopped, in many cases, it instead persists.

CoQ10

CoQ10 is an essential nutrient that both the mitochondria (which power the human body) and the stability of our cell walls depend upon. CoQ10 deficiency caused by statins is generally considered the most common cause of their side effects. This is really sad because those side effects could have been prevented if CoQ10 had been given with the statin. Unfortunately, this is unlikely ever to happen, as doing so would be equivalent to an admission statins could cause harm.

Note: the best parallel I know to this is that the primary cause of childhood vaccine toxicity is too many vaccines being given too close together for a child's developing circulatory and nervous systems. Most of the harm can be avoided if vaccines are spaced apart and given later in a child's life—but sadly doctors who promote this approach are routinely targeted (as it is tantamount to an admission vaccines are not 100% safe). 

Some of the common energy-related side effects of statin CoQ10 deficiency include:

• Mitochondrial damage

• Lack of Energy 

• Chronic Fatigue Syndrome

• Congestive Heart Failure and Fluid Retention

• Shortness of Breath

• Gout

Some of the side effects of statin CoQ10 deficiency weakening cell wall integrity include:

• Hepatitis (interestingly, Graveline noted that the enzyme threshold needed to diagnose statin-induced liver damage was significantly raised after this issue began being commonly reported following statin usage).

• Pancreatitis

• Rhabdomyolysis (rapid breakdown of skeletal muscle tissue)

• Tendon and ligament inflammation and rupture.
Note: this side effect is commonly reported with fluoroquinolone antibiotics, which are known to damage the mitochondria. I suspect it's linked to mitochondrial damage—a subject I discussed further here—as ligamentous laxity often goes hand in hand with vaccine injuries.

Two of the most common consequences of statins CoQ10 depletion are myopathy (muscle pain, tiredness, weakness, and cramps) and peripheral neuropathy (numbness, tingling, or burning sensations, particularly in hands and feet).

Although myopathy is the most commonly reported side effect of statin usage, much of it (e.g., myositis) goes undetected. This is because the symptoms are often not accompanied by blood work showing muscle enzyme elevations and can only be detected by biopsies (which are rarely done relative to blood work). In many cases, this condition is permanent (one expert in statin injury found it was permanent for 68% of her patients, while Graveline found it was for 25% of his). Sadly, in some cases, like statin neuropathies, the myopathies will continue to progress even if the statin is stopped.

One of the sadder things about statins is how aggressively they are pushed on diabetics (under the logic that since diabetics have an increased risk of heart disease, it is critical they take a statin to prevent them from having a heart attack). To highlight the absurdity of this, statins are well known to significantly increase your risk of diabetes (multiple studies have found this), which I suspect is again due to them impairing mitochondrial function. 

Similarly, peripheral neuropathy is a condition diabetics are well known to be at a high risk of. In one study, it was found that the risk of neuropathy (i.e., burning pain with tingling or numbness of the extremities) was increased by 14 to 26 times (depending on the type) for long-term users of statins. Furthermore, other nerve issues, such as neurodegeneration, can be caused by statins.

Combinations of myopathy and neuropathy also occur in statin users, such as progressive pain, weakness, and incoordination throughout the body, alongside trouble rising from a seated position, unsteadiness, and a tendency to fall. Muscles are also observed to develop a distinctive weakened and mushy characteristic and gradually shrink.

Note: in addition to preventing adverse effects from statins, CoQ10 is also one of the more helpful supplements for preventing heart disease.

Dolichol

Very few physicians know of the dolichols, which play a pivotal role in synthesizing proteins, and Graveline argues, neuropeptides throughout the body. Since neuropeptides are pivotal in your thoughts, emotions, and sensations, statins blocking their production can lead to significant issues. Dolichol abnormalities have also been linked to Alzheimer’s disease. Additionally, the part of the brain where Parkinson’s disease develops has a very high concentration of dolichols.

Graveline in turn asserted that inhibition of dolichol production and therefore neuropeptide production accounts for the aggression, hostility, irritability, road rage, homicidal ideation, exacerbation of alcohol and drug addiction, depression, and suicides that are associated with statin use. These side effects are one of the sadder complications of statins I observe in families affected by them.

Note: I have not been able to verify the link between dolichols and neuropeptides. As far as I can tell, there are many unknowns about dolichols as they are an area of physiology which have not been extensively researched.

Tau Protein

Many neurological disorders (e.g., Parkinson's, Alzheimer's, ALS, MS) are thought to result from misfolded proteins. Because statins interfere with mevalonate synthesis, Graveline theorized that the production of Tau protein would be altered, which provides a potential explanation for the neurological diseases associated with statin usage. I briefly researched this theory when writing this article, and like the previous one, I am unsure if the existing evidence supports it.

Note: There is a strong association between the COVID-19 vaccine and misfolded proteins in the body.

Seleno-protein

To quote Glaveline:

Deficiency of selenoproteins has been proven to result in various types of myopathies formerly seen only in areas known to be deficient in this trace element. Additionally cognitive dysfunction is known to be associated with selenium deficiency.

Note: selenium deficiency is also associated with other diseases such as impaired immune function.

Nuclear Factor-Kappa B

The small cardiovascular benefit observed from statins may not be because they reduce cholesterol but rather because they have anti-inflammatory properties (inflammation causes heart disease), as they inhibit NF-kB, a vital part of the immune system.
Note: statins also lower the C-reactive protein (another inflammatory protein).

Since this suppresses the immune system, it leads to various potential issues such as reduced protection from infectious disease. For example, many common infectious organisms target NF-kB to assist in infecting their host. However, the more significant issue is that Nf-kB inhibition appears to be linked to cancer.

At five hospitals in Tokyo a group of Japanese researchers studied whether cancer patients had been treated with statins more often than other people. To that end they selected patients with various forms of lymphoid cancers and control individuals of the same age and sex without cancer admitted to other departments at the same hospitals during the same period. A total of 13.3 percent of the cancer patients, but only 7.3 percent of the control individuals were or had been on statin treatment.

In PROSPER [a major statin trial], men and women aged 70-82 were included only. All of them had either vascular disease or had a raised risk of such disease. At follow-up, 4.2 percent had died from a heart attack in the control group, but only 3.3 percent in the treatment group. This small benefit was neutralized by a higher risk of dying from cancer. Indeed, there were 28 fewer deaths from heart disease in the pravastatin group, but 24 more deaths from cancer. If we include non-fatal cancer in the calculation, the cancer difference between the two groups became statistically significant; 199 in the control group and 245 in the pravastatin group. Furthermore the difference between the two groups increased year for year.

In addition to this arguing that some of the benefit of statins “preventing heart attacks” is due to them causing a fatal cancer before you have time to have a natural heart attack, this situation is somewhat analogous to what was seen with the COVID vaccines (which also cause cancer). There, the “benefit” of the COVID vaccines preventing COVID was outweighed by them causing serious conditions such as heart attacks and strokes, but if one only focused on them preventing COVID (which many did), the vaccines could be portrayed as life-saving, even though they overall did the opposite.

Note: although statins appear to increase cancer, one of the few benefits I have seen a lot of evidence for is their prevention of fatal prostate cancer. My best guess is that this is due to them blocking the production of hormones in the body, and that outweighs the effects of them inhibiting NF-kB.

“Cholesterol” Plaques

One of the tricks to creating a lucrative drug market is to instill a belief throughout the population that everyone can relate to which sells your product. For example, the antidepressant industry spent years convincing the public depression was due to a “chemical imbalance” and because of how successful this campaign was, many sincerely believe it to be true even though it is a complete and utter fabrication.

One of the cleverest campaigns I’ve seen within the medical industry is the widespread belief that heart disease is due to fat clogging the arteries much like they do for a drain pipe.

 

This marketing slogan in turn is remarkably persuasive as it is easy to understand (to the point that people without a medical background will feel confident repeating it to others), easy to visualize, and highly likely to elicit an immediate sense of disgust.

However, given that there is no link between cholesterol and heart disease, is it necessarily true?

As one of my favorite authors in this field (Malcolm Kendrick) was pondering this question, he looked at another mystery of cardiology—the fact that there is no common thread between the well-known risk factors for heart disease. For example, to calculate the risk of heart disease, England uses a calculator that combines the adjustable risks for heart disease (e.g., age) with the conditions commonly associated with causing heart disease.

 

Likewise, in a 2017 study, the records of 378,256 English patients were analyzed by an AI system to determine what characteristics put them at the highest risk for a cardiovascular incident in the next 10 years. From that, they found that the ten greatest risk factors (in order) were:

 

From this list, Malcolm Kendrick concluded that the common thread was that many of these (e.g., lupus or cortisol) are associated with damage to the blood vessels and impaired microcirculation (a consequence of damaged blood vessels).

Note: a more detailed explanation of the connection between these factors and heart disease can be found within Kendrick’s book (which inspired a significant portion of this article).

Presently, we believe cholesterol somehow gets into a blood vessel and then damages it, leaving an atherosclerotic plaque. Kendrick in turn argued that a competing model (that the medical profession largely buried) provides a much better explanation of the actual causes of heart disease. It is as follows:

1. Blood vessels get damaged.
2. The body repairs those damage with clots.
3. As clots heal, they are pulled inside the blood vessel wall, and a new layer of endothelium (blood vessel lining) grows over them.
4. As this occurs multiple times in the same area, the damage (plaques) under the blood vessel becomes more abnormal.

 

Some of the key points of evidence he uses to support this argument are:

• Most of the risk factors for heart disease overlap with things that would be expected to damage the blood vessel lining (endothelium).

Plaques tend to form at arterial branch (junction) points, which are the parts of the artery which are subjected to the greatest shear stress).

• When you examine the components of a plaque, they are found to contain the same debris found in blood clots (see this study and this study).

• There is no established mechanism for how cholesterol from the blood stream can get under the endothelium (even though the existing model depends upon that somehow happening). However, red blood cells (which play a key role in forming clots) contain a large amount of cholesterol (50% of the total amount in the bloodstream), and hence will bring it into the clot as it forms.

• Plaques contain cholesterol crystals. These crystals can only form from free cholesterol, something contained within red blood cells, but not the “bad” cholesterol that circulates in the blood stream (contained within lipoproteins). Likewise, much of the cholesterol found in atherosclerotic plaques is free cholesterol.

• The remnants of lipoproteins that are found in plaques are not cholesterol lipoproteins, but rather lipoprotein A, something the body uses to repair damage to the arterial walls. This is supported by the fact elevated blood lipoprotein A levels are associated with increased lipoprotein remnants in plaques and that the specific marker of lipoprotein A is found to concentrate in atherosclerotic plaques. Lipoprotein A in turn is problematic because while it can patch and repair arterial damage, it also makes clots resistant to subsequent degradation, guaranteeing that they will eventually be pulled under the endothelium and transformed into an atherosclerotic plaque (which may in turn explain why elevated lipoprotein A levels are associated with a three-fold increase in the risk of a heart attack or stroke).

Note: another key piece of evidence for the cholesterol hypothesis is that fatty streaks on the lining of healthy blood vessels are thought to serve as the precursors to atherosclerotic plaques. However, when this was extensively researched, that progression was never observed to occur.

In short, a good case can be made that our entire heart disease model is based on a variety of correlations that were erroneously assumed to demonstrate causation. Sadly, while the “correlation is not causation” mantra is frequently used to dismiss anything which challenges the orthodoxy, you will frequently find overtly false correlations that support the medical industry’s bottom line being treated as unquestionable dogmas.

For example, vaccines are credited with eliminating the infectious diseases that plagued humanity, but it is seldom mentioned that some of the deadliest diseases (e.g., scarlet fever) which had no vaccine also disappeared or that the diseases were already disappearing once the vaccines were introduced (in many cases having almost completely disappeared) and that it is very likely they would have been eliminated regardless of if a vaccine appeared. Conversely, many of the activists at the time felt the primary cause of these diseases was poor public sanitation (as it caused infectious diseases to rapidly spread through the population), so many hard battles were fought to attain it, and many (myself included) believe the vaccination industry essentially stole the credit for what those activists accomplished by getting us public sanitation.

The Causes and Treatments of Heart Disease

Kendrick’s model essentially argues the following: 

• Most cardiovascular disease is a result of the blood vessel lining becoming damaged (due to the atherosclerotic lesions) and losing the ability to perform the normal functions (e.g., nitric oxide secretion) that allow it to protect the circulation.

• Inflammation and periods of prolonged and severe stress (e.g., from mental illness, cigarettes, or extreme social oppression) frequently damage the endothelium and hence contribute to heart disease.

• Heart attacks are due to blood clots (which frequently are a result of damaged endothelium) interrupting a critical blood supply to the heart.

In turn, I deliberately presented Kendrick’s points in this manner to emphasize that much of his model is in complete agreement with the conventional cardiovascular disease paradigm. However, the key distinctions are that he does not believe cholesterol is the cause of the damage to the blood vessel lining and that he thus believes the other damaging factors (e.g., stress) should receive a greater focus. Likewise, he prioritizes treating the functional impairments of the blood vessels (e.g., reduced nitric oxide synthesis) rather than having a narrow focus on reducing cholesterol.

Note: statins also to some extent have anti-inflammatory effects and increase endothelial nitric oxide. In turn, it is very likely that many of the (small) benefits attributed to statins are a result of these effects rather than their lowering of blood cholesterol.

Furthermore, since his focus is not on cholesterol, that allowed him to identify other factors which may be playing an immense (but largely unappreciated) role in heart disease.

For example, smoking is well recognized to cause heart disease because it damages the blood vessels (e.g., by creating plaques and impairing their ability to make nitric oxide), but much less thought is given to why it does. However, it’s been repeatedly demonstrated that fine particulate matter (which is found in cigarette smoke) directly causes these changes, evidenced by the fact similar damage occurs from breathing in pollution particulates such as those in coal mines, crowded cities (see this study and this study), cooking with a wood burning stove or being exposed to wildfire smoke.

Likewise, lead is quite damaging to the endothelium (e.g., see this study and this study), something many of us were exposed to due to it being added to gasoline, and lead rapidly entering the bloodstream once inhaled. In turn, as lead was phased out between 1975 to 1996 (although its use is still allowed for certain applications such as aircraft, race cars, farm equipment, and boats—where it is occasionally used), a variety of interesting trends exist, such as the fact heart disease exploded in America after we started using it (and this then happening in other European nations). Currently, it is estimated that around 400,000 deaths each year in America are due to lead exposure and in a study of 868 men, it was observed that high levels of lead exposure (assessed by its presence in the bones) increased their risk of dying by over 700 percent.
Note: as lead absorbed earlier in life tends to leach from the bones back into the bloodstream, many have suspected a key cause of aging (e.g., heart disease) is that lead returning without anything being done to address it.

Sadly, as you cannot sell drugs for any of these causes of heart disease, they rarely get mentioned and instead almost all of the research and discussions on heart disease are directed at cholesterol.

Overall, I think Kendrick’s model is accurate, and it is my sincere hope that at some point, the medical profession will begin to seriously consider it (although given how much has been invested into the cholesterol hypothesis, it’s doubtful the industry will ever be willing to let that market go).

 

Link

If you want to eat healthy, just turn the food pyramid upside down, basically the opposite of everything you have been programmed to believe. Have a read: https://richardweberg.com/the-usda-food-pyramid-is-upside-down/ 

community logo
Join the TheDinarian Community
To read more articles like this, sign up and join my community today
0
What else you may like…
Videos
Podcasts
Posts
Articles
🏦 JPMorgan CEO Jamie Dimon warns stablecoins could become a "huge problem"

🏦 JPMorgan CEO Jamie Dimon warns stablecoins could become a "huge problem" and says he is not happy with the Clarity Act. 😡

🎙️ When asked about Coinbase CEO Brian Armstrong representing the industry, Dimon said, "He's full of sh!t."😂

00:01:21
Aliens.gov Now Redirects👽

BREAKING 🚨 http://Aliens.gov now redirects to a page on the official White House website: https://www.whitehouse.gov/aliens/

The website now states:

For 60 years, the U.S. government has kept a closely guarded secret.

Aliens have been walking among us, living in our neighborhoods, and interacting with us in our daily lives.

They've shopped in the same stores, attended the same classes as our children, and lived seemingly normal human existences.

With one exception — they do not belong here.

Millions arrived under the cover of darkness and embedded themselves directly into our society.

Countless presidents, congressmen, and senior officials knew exactly what was happening.

Instead of protecting American citizens, they chose to cover it up and even accelerate the invasion.

Until one man finally had the courage to tell the truth.

Bold. Unapologetic. Unafraid.

President Trump was the first to call out the real danger Aliens pose to every American family, every community, and the...

00:00:05
Former CIA Agent: "Cancer is so easily cured it's not even funny"
00:09:43
👉 Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? 🔜

The future of Crypto x AI is about to go crazy.

👉 Here’s what you need to know:

💠 'Based Agent' enables creation of custom AI agents
💠 Users set up personalized agents in < 3 minutes
💠 Equipped w/ crypto wallet and on-chain functions
💠 Capable of completing trades, swaps, and staking
💠 Integrates with Coinbase’s SDK, OpenAI, & Replit

👉 What this means for the future of Crypto:

1. Open Access: Democratized access to advanced trading
2. Automated Txns: Complex trades + streamlined on-chain activity
3. AI Dominance: Est ~80% of crypto 👉txns done by AI agents by 2025

🚨 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.

👉 Coinbase just launched an AI agent for Crypto Trading
🏦The Future of Global Finance: Decoding Project Agorá🏦

The global financial system stands on the precipice of a massive transformation. At the center of this shift is Project Agorá, a groundbreaking initiative led by the Bank for International Settlements (BIS)—often referred to as the "central bank of central banks."

By bringing together 8 central banks and a powerhouse roster of over 40 private financial institutions, Project Agorá is tackling a fundamental inefficiency in the current global monetary system: the friction-heavy process of cross-border payments.

What is Project Agorá?

Project Agorá explores how tokenized commercial bank deposits and wholesale central bank money can be integrated on a common, programmable platform.

The goal is to streamline cross-border payments, making them faster, cheaper, and more transparent, while maintaining the safety and regulatory standards of the traditional banking system.

The Role of Smart Contracts

A standout feature of the project is its use of Ethereum-compatible smart contracts. These are the digital architects of the platform, specifically ...

1.pdf

🚨 Coinbase brings regulated access to global crypto perpetual futures and options markets for eligible U.S. institutional clients through Deribit connectivity 🚨

Coinbase Financial Markets has begun offering eligible U.S. institutional clients access to global crypto options and perpetual futures markets through its regulated futures commission merchant infrastructure, including connectivity to Deribit’s derivatives platform. The move expands regulated U.S. access to offshore-style crypto derivatives liquidity that has historically been difficult for domestic institutions to reach within a compliant framework. Coinbase said the launch follows guidance from the Commodity Futures Trading Commission allowing a regulated futures commission merchant to connect U.S. clients with global crypto derivatives markets. The rollout marks another major step in the broader effort to bring crypto-native derivatives activity into more formal U.S.-supervised channels.

🔑 Key points

🔹 Regulated institutional ...

🚨 CFTC opens path for first true U.S. bitcoin perpetual as Kalshi wins approval to list spot BTC-linked contract on regulated exchange 🚨

The Commodity Futures Trading Commission has taken what it describes as a historic step toward allowing true bitcoin perpetual contracts to trade on U.S.-registered venues, with KalshiEX LLC receiving approval to list BTCPERP, a spot BTC-linked perpetual futures contract. Unlike traditional futures, the product has no fixed expiration date, bringing one of crypto’s most heavily traded offshore derivatives structures into a regulated U.S. framework. The move is significant because perpetual contracts dominate global crypto derivatives activity, yet have largely remained unavailable on federally regulated U.S. exchanges until now. The CFTC said the contract satisfies applicable law, agency rules, and designated contract market standards, while also signaling that more perpetual-style products could follow under a case-by-case review process.

🔑 Key points

🔹 ...

post photo preview
Handshake Wants to Be the Front Door to Bittensor’s Agent Economy

In this Beanstock interview, Harry Jackson of Subnet 58 (Handshake) lays out a thesis that’s worth understanding even if you never buy a single SN58 alpha token. He also explained where Bittensor’s agentic layer is heading.

We wrote the high-value distillation:

The one-line thesis

Handshake wants to be the front door to the agent economy on Bittensor. The Amazon-like gateway where AI agents discover, pay for, and stack together skills from across all 128 subnets.

Why this matters now
  • There’s a critical distinction Harry emphasized: AI is intelligence, but agents need tooling. An LLM without payment rails, plugins, and workflow infrastructure is “a young person trying to cut a tree down with a pen knife.”
  • Agent-to-agent commerce is on the edge of going viral. Harry’s prediction for the tipping point: a woman in her 40s lets her agent do her shopping end-to-end (research, stock check, autonomous payment), posts it to social media, and it becomes the “four-minute mile” moment everyone copies.
  • Bittensor is uniquely positioned because agents don’t care about marketing or pretty UIs. They only care about best-in-class products and services. That’s exactly what Bittensor’s 128 subnets produce.

The product reality (what’s currently shipping)

  • Handshake is live with paying users generating a few thousand USD in revenue as of today. The business model: 2% of every transaction on the platform.
  • The flywheel is Amazon-like: better skills → more agents arrive → providers get distribution → more skills get added → cycle repeats.
  • The headline product on the way is Axiom. This is an agent that trades subnets while you sleep. Built around the realization that what the Bittensor community wants from agents isn’t generic skills; it’s more TAO. Each “hole” they find in the agent becomes a new tradeable skill on the marketplace.

The investment angles (read these carefully)

  • The moat is data, not distribution. Every workflow run by an agent generates failure data, success data, payment data. No outside competitor can replicate that without running the marketplace itself.
  • The metric Harry tells you to judge them on is revenue. Not agent count. Not user count. Revenue, which is publicly visible on-chain via the front page of their site. He’s basically inviting investors to hold him to it.

  • The pitch for emissions: the biggest TAM in Bittensor is the agent market, and Handshake is the most integrated subnet, meaning if Handshake wins, the subnets it routes to all win too. Bullish on agents + bullish on Bittensor = bullish on Handshake by transitive logic.

Where Harry stands on the Conviction

  • On the conviction upgrade and locked alpha: he’s fine with it. Handshake is a revenue-focused company, so locked alpha isn’t a survival issue. He acknowledges it’ll be harder on research-stage subnets that need to raise external capital, but argues most subnet founders are thinking long-term, not short-term extraction.
  • On the broader vibe: he just got back from Bittensor events in Spain and San Francisco. He observed that the overwhelming reality of the ecosystem is people working hard to build the best products. “It’d be a lot easier in some ways to build a company outside of Bittensor.” The only reason to do it on Bittensor is if you actually want the moonshot.

Full interview below:

🙏 Donations Accepted, Thank You For Your Support 🙏

If you find value in my content, consider showing your support via:

💳 Stripe:
1) or visit http://thedinarian.locals.com/donate

💳 PayPal: 
2) Simply scan the QR code below 📲 or Click Here

🔗 Crypto Donations Graciously Accepted👇

XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

Read full Article
post photo preview
🚨The State Of Bittensor (TAO)🚨
Greg Schvey | COO at Yuma Group

Last week at the @YumaGroup Summit I had the opportunity to present on The State of Bittensor. That presentation is in the thread below. If you choose to read it, I'd ask that you keep the following three things in mind:

  1. This is just one guy's view of what was the most relevant for a 25-minute talk; a difficult filter for such a dynamic industry.
  2. The slides were designed to supplement a talk; I've done my best to replicate what I recall of the talk in the accompanying X posts.
  3. The topic of the Summit was "The Tipping Point" - a candid assessment of what could lead to Bittensor's breakout success and what evidence we see of that today - which also thematically anchored this presentation.

Let's dive in:

We are in the most important race in human history – the race for intelligence itself. AI has advanced beyond the point of no return. As an example of what I mean: Ramp is a widely used financial services platform for companies. They looked at spending and revenue across their clients since the launch of ChatGPT: Companies who did not spend on AI have had flat revenue for the last three years. The top quartile of AI spenders have grown revenue by more than 100%.

We are already at the point where investing in AI is a matter of survival. But what exactly are we getting for the hundreds of billions being spent? Right now, its overwhelmingly going to corporations who have repeatedly shown they don’t have our best interest in mind.

 

 

Claude Opus 4.6 – the leading deep thinking model, had a measured hallucination rate of 16% in February. Then, without telling anyone, Anthropic throttled its reasoning – presumably to reduce GPU utilization – and didn’t tell anyone. Hallucinations climbed to 33% - a 98% increase.

They only admitted it after third party benchmarking proved it. And they were still charging everyone at the same price the whole time. Even since my talk last week, they've supposedly been found to be throttling people simply because HERMES.md was in their commits. You may say, "well there are solid open source options..."

 

 

Yes, open source models have gotten very good, but they’re not immune to capture either. Try asking DeepSeek what happened in Tiananmen Square and then let me know if that’s the intelligence you want to trust.

 

 

This needs to be addressed right now or it will be too late. To give you a sense of what I mean, this is a chart of the total annual commits on GitHub. That’s 500% growth since the launch of ChatGPT in 2022. From 200M per year to a one billion in 2025. 2026 is on track for **14 billion** The genie is out of the bottle – there is no going back; we are already at the exponential inflection point.

This reminds me of many years ago: Bitcoin shined a light on how much our rights were impacted when we became dependent on private companies to run our day-to-day lives.

Your right to privacy? That doesn’t extend to your bank account. Your "money" is just a ledger at a private company, available for interrogation and suspension at any time. Bitcoin gave us back the sovereignty of our wealth.

Similarly, we’ve depended on things like privacy of our medical records and attorney client privilege for our entire lives. What do you think is going to happen when a private company’s servers are giving you legal and medical advice? Who are you going to trust for that intelligence? The company that lobotomized its top model? The model constrained by the foreign governments? As I said at the beginning, we’re in the most important race in human history and Bittensor well may be our best shot at winning.

 

 

One of the things about having a different model to produce intelligence is it requires an economic system suited to it. Subnets are the intelligence and economic engines that drive Bittensor’s value. That’s why the Summit was themed around The Tipping Point: understanding how subnets can reach breakout success and what we can do to help.

To summarize Bittensor's intelligence economics: miners create intelligence for which they earn subnet tokens. In many cases they sell those tokens to fund operations, putting downward pressure on token prices and decreasing the incentive to mine (similar to bitcoin). In parallel, if that intelligence is being used to generate real world value, one of the parties who benefits from that value (e.g. the Operator monetizing it, institutions using intelligence commodities to advance their research, etc.) can buy the subnet tokens to keep token prices elevated and sustain the miner incentive.

Investors get to participate in this process, often supporting token prices before the commercial value of intelligence is realized, and/or subsequently holding an asset that parties gaining fundamental value from the intelligence (eg Operator or others) will need to purchase at some point in the future if they want to maintain sufficient incentives for the intelligence machine to continue running.

For Bittensor to succeed, this value loop has to work. So, to understand the State of Bittensor, we have to take a look at how that’s going today and what that means for the network overall.

 

 

One of the many unique features of Bittensor is that subnets are native to the protocol. That is not the case on most crypto networks where the true utility lives in smart contracts with no direct tie to network value.

As an example, Polymarket has seen 800% growth in volume this year. Users can bet any arbitrarily large amount of value on Polymarket for a few cents of network fees. There is nothing tying that to value of the network’s native token, which is down 80% over the same period as Polymarket’s amazing success.

 

 

Conversely, Bittensor subnets are intrinsically linked to $TAO. If you want $1,000 worth of subnet exposure, you first need $1,000 of TAO. We analyzed subnet pool data surrounding the announcement of @tplr_ai's recent training run and normalized across them by indexing them to a starting level of 100.

As shown by the orange line, there was no material change in pool size for non-Templar subnets over the observation period. There was however, major inflow into Templar’s pool. Given Bittensor’s unique network model, we saw a direct correlation to the change in TAO price over the same period. As value flows into subnets, the whole network benefits. A rising boat lifts the tide, so to speak.

 

 

That can go both ways. When Sam left, we saw something similar in reverse; as value was exfiltrated from the network, it started in Covenant subnets and dragged TAO down with it. You know what else we saw in the data though? For all of the noise about concerns of Bittensor’s future, the other subnet pools were mostly unchanged.

The event was interesting because it reminded me of the early days of bitcoin: people would say Bitcoin was only used by drug dealers on the internet. I'd stare at them aghast because in the same breath they told me that an open, permissionless network was used to reliably move money anywhere in the world in minutes by the most untrustworthy people on the planet and yet they didn't understand how the technical feat required to achieve that would create tremendous value.

The Covenant situation is similar: people were concerned about the operator's exit, rather than realizing the only reason we care is because a ground-breaking technical innovation was achieved. But even bigger than that: Bittensor has 128 subnets currently, each striving to generate value for themselves and, transitively, the network as well.

 

 

And we’re seeing that occur – Templar was not unique in that regard. The same pattern emerged around the Intel publication on @TargonCompute. The non-Targon pools remained largely unchanged. Targon saw heavy inflows. TAO price climbed with it.

Again: rising boats lift the tide. And there are many boats in Bittensor right now.

 

 

We’re seeing major technical innovations at an increasing rate.

Just a few examples from the last couple weeks:

@QuasarModels just announced a custom attention architecture targeting 5M token context windows.
 
@IOTA_SN9 developed a technique that compresses data flowing between distributed GPUs by 128x with little to no loss in training quality, increasing viability of training large AI models across internet-connected machines worldwide.
 
We're seeing the building blocks start to form whereby competitive large generalized models can eventually be built. In the meantime, we're also witnessing more targeted, niche players start to pull ahead in their respective fields.
 
During the presentation, I gave the example of @resilabsai achieving 90% accuracy on their home valuation model, making it the most performant open source model and quickly approaching state of the art. Quite literally as I was explaining this during the talk, @markjeffrey pointed out they had just achieved 98% accuracy.
 
In the time between when I prepared the presentation and actually presented, they went from best open source to at or near state of the art - only further highlighting the unique value of Bittensor's open, competitive intelligence creation cycle.
 
 
And the tech that’s being built on Bittensor is getting real attention from serious players. Again, just a few examples of many: Harvard partnered with @Chutes on research about AI inference efficiency. Valeo – an auto company with $20B in annual revenue – is working with @natix on an AI model for self-driving cars. @zeussubnet- the weather forecasting subnet, is the only party in the world allowed to use data WeatherXM’s network of global weather sensors for commercial purposes. And there are in fact many subnets already commercializing their intelligence.
 
 
 
Most of us are already aware of Chutes seven-figure ARR, but a few other examples:
 
@LeadpoetAI– which uses their Bittensor subnet to source sales leads, announced earlier this year that they crossed $1M ARR
 
@Bitcast_network– the content creation platform built on their subnet competition – is already operating profitably
 
@lium_io– a hardware subnet – has bought more than 4,000 TAO worth of their token
 
Remember the economic model I outlined earlier; we’re seeing real evidence that it’s starting to work across many subnets. Intelligence built on Bittensor, capturing value in the real economy, and bringing it back into the network.
 
Action shot of this slide courtesy of @Tom_dot_b
 
 
That’s why when we look at Bittensor we like to look at Total Network Value (TNV);
$TAO market cap is only part of the story in Bittensor. TNV = market cap of TAO + market cap of subnets – tao in the pools [as not to double count] The actual value of this network is already higher than most people realize. And notably, subnets make up an increasing proportion of TNV – recently crossing 35% - as value continues to flow into the pools.
 
 
 
Interestingly, we recently noticed a change in TNV: In particular, despite all the volatility in TAO, the dramatic subnet issuance curves, etc. - the combined subnet market cap had been remarkably consistent around $750 million for most of the last year, until recently.
 
It’s nearly doubled over the last few months – a clear breakout in the trend. If you were looking for Tipping Point, it might look something like this...
 
 
 
I hear a lot that that value is relatively concentrated in the largest subnets. And the market cap distribution does indeed reflect that, but that’s not necessarily a bad thing.
 
 
 
This is the market cap distribution of the S&P 500. Many healthy economic systems tend towards Pareto distributions. And so what if some subnets are worth more? As we showed earlier, this is an ecosystem that will win or lose *together* And we’re seeing that play out every day.
 
 
 
We track announcements of subnets utilizing each others infrastructure and intelligence. Just as an example, we identified at least eight subnets who announced that they use Chutes for inference. But we have dozens of similar examples of cross-subnet collaboration across many subnets like
 
What’s notable about this:
 
1. Collaboration seems to be happening at an increasing pace as subnets continue to mature and build out contiguous pipelines of AI infrastructure
 
2. Keeping money circulating within an economy creates a money multiplier. Capital circulating within a single economy without leaving creates economic value for each party it passes through, without having to bring in new capital. That’s uniquely possible here because of the diversity of infrastructure built on Bittensor.
 
This network is not 128 discrete growth drivers; it’s increasingly functioning as an interconnected graph, which has substantially more stickiness and value And the pace is about to increase dramatically:
 
 
 
We’re starting to see increasing agents operating on Bittensor: subnets mined by agents, subnets operated by agents...
 
Consider the Bittensor value flywheel:
 
-An intelligence goal is established
-Miners compete to achieve the goal
-That produces intelligence
-Intelligence generates value
 
That’s happening today, as we’ve seen earlier in this discussion.
 
As agents get more capable, that flywheel spins faster and faster. Permissionless entry means any agent can compete. Protocol-native economic incentives mean good work gets rewarded. Bittensor is uniquely advantaged for agentic speed over guarded, centralized alternatives with corporate procurement cycles.
 
That also means exploits will be found faster. But, it also means solutions that harden the network against them will be found faster as well.
 
Accordingly the impact of the network primitives – incentives, accessibility, governance, security, reliability, and all the infrastructure we’re building around the network - have an exponentially larger impact. It is critical that we get these right. The time to nail this, is right now. If we don’t someone else will.
 
 
 
The good news is, for now, Bittensor seems to be in the lead The 30-day moving average of Daily active wallets just crossed a record, approaching 10,000 Up 100% just in the last year.
 
 
 
We’re also seeing subnet ownership increasingly diversify and distribute. The median number of holders of subnet tokens at 2,000 is a 10x increase since the dtao launch a year ago. And at Yuma, we spend a lot of effort and resources to help broaden that access.
 
 
 
Yuma currently partners with 16 custodian and wallet providers to bring Bittensor access to the masses As an institutional-grade validator, the relationships and service we offer give them the confidence to make TAO staking available to millions of end users.
 
During the Summit, we announced that BitGo’s clients will now have access to subnet token staking through our partnership, making subnet investing available to customers of one of the world’s largest custodians.
 
 
 
We also help people gain access to subnets via investment vehicles. The Yuma Composite Fund gives investors access to a market-cap weighted portfolio of subnets through traditional investment structures. The Yuma Large Cap Fund gives investors concentrated exposure to Bittensor's largest subnets.
 
Our institutional asset management team handles everything from initial subnet token purchases, to portfolio rebalancing, custody, and reporting. The appeal for institutions is obvious, but even for the Bittensor native, it’s an amazingly simple way to get access to a broadly diversified portfolio, rebalanced regularly.
 
Between the breakout performance of subnets, the attractive staking rewards, and benefits of diversification, the Yuma funds have outperformed TAO materially year to date [as of when the presentation was created] Nearly 3x outperformance relative to TAO.
 
 
 
And last but definitely not least, our subnet accelerator has helped a wide range of companies access Bittensor. We help them acquire subnet slots, design incentives, provide marketing assistance, review pitch decks, make introductions to other investors, etc. At Yuma we deeply believe in the power of subnets and have helped many of the network's leading intelligence providers start and succeed.
 
 
 
Disclaimer: For informational purposes only.  Nothing herein should be construed as financial, investment, legal, or tax advice.  This material does not constitute an offer to sell or a solicitation of an offer to buy any securities or tokens.  Investing in digital assets involves significant risk, including the potential loss of principal.  Subnet tokens do not represent equity or ownership interests in any entity.  Performance comparisons and index references are illustrative only and not indicative of future results.  Charts and indices are based on methodologies and assumptions that may change and may not reflect actual market conditions or liquidity.
 

  🙏 Donations Accepted, Thank You For Your Support 🙏

If you find value in my content, consider showing your support via:

💳 Stripe:

1) or visit http://thedinarian.locals.com/donate

💳 PayPal: 

2) Simply scan the QR code below 📲 or Click Here

🔗 Crypto Donations Graciously Accepted👇

XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

Read full Article
post photo preview
The Agentic Society and the End of History

AI agents are becoming more autonomous - and when they generate a larger proportion of value, that will reshape society. And after a year working on the forefront of AI, I believe it's already begun.

In 1989, as the Soviet Union collapsed, a historian made a remarkable prediction:

‘What we may be witnessing is not just the end of the Cold War, or the passing of a particular period of postwar history, but the end of history as such: that is, the end point of mankind's ideological evolution and the universalization of Western liberal democracy as the final form of human government.’

— Francis Fukuyama, ‘The End of History?’, The National Interest, No.16

History had its revenge. The prosperity and convergence predicted by Fukuyama lasted from ‘89 to 2001, and then history decided its holiday was over: the War on Terror, the financial crisis, and the disintegration of the international order.

By the time I was a history undergraduate (2008), Fukuyama was a synonym for academic short-sightedness, an inverse chicken-licken whose cautionary tale warned against the hubris of Western exceptionalism.

Yet Fukuyama raised an interesting idea: that history itself is not inevitable, but dependent on certain conditions - conditions which can change.

In the summer of 2023, a rather less venerable historian made a prediction:

Whether we like it or not, this is where we're heading - because ultimately, these LLMs are changing our relationship to knowledge itself…and that's because knowledge is influenced by how it was formed - through universities, through books, through the idea of truth. Knowledge was scarce in the past, even sacred. Only the truly learned could possess it, and thus it was highly prized. Now AI is creating what appears to be a limitless fountain of knowledge on tap, infinite and entirely fungible. You can ask it to come up with parameters for a special study looking into the effects of human behaviour and how it's influenced by environmental factors, and then you could ask it, Now write the same research paper in the style of Jeremy Clarkson - and it will do that for you too. Right now true and false, like knowledge, are categories immersed in particular historical context and already, just with social media, we’ve had fake news conspiracies…all of which only need a fragment of evidence to be ‘true.’ So what will happen when you can just get knowledge on tap, it's not something that has to be worked for or developed or approved by institutions like universities? Are we going from knowledge to meta knowledge?

I was speaking on a podcast about how generative AI might impact marketers. As well as CEOs, ‘thought leaders’, and consultants, the panel was mostly business focused, but did include Nataliya Tkachenko, PhD in machine learning (then at Oxford). The point, I thought, was that AI would fundamentally and permanently shift the foundations of knowledge, radically changing our notions of ‘true’ and ‘false’. To my surprise, Nataliya Tkachenko - the most credentialed on the panel - agreed.

Since then, I helped to launch a decentralised AI start-up, which develops open-source and distributed alternatives to machine learning problems like pretraining and inference. This necessitates working closely with AI PhDs, understanding their work in the context of the latest debates in the field, and translating the implications of their solutions into strategy and communications.

Meanwhile, the industry around AI has progressed so much faster than any industry, ever.

We now have autonomous AI agents like Zerebro, which wrote, recorded, and launched an album on Spotify. It now has its own record label and created a framework for generating other AI agents:

‘Zerebro is a revolutionary autonomous AI system designed to create, distribute, and analyze content… Operating independently of human oversight, Zerebro shapes cultural and financial narratives through self-propagating, hyperstitious content—fiction blended with reality.’

Here’s Zerebro’s founder, Jeffy Yu - who graduated from San Francisco State in 2024, and whose Zerebro token’s market cap reached $700m in January 2025 - discussing his plans for creating a ‘network’ of such agents:

‘So we are thinking about using different neural networks and building a network of different AI models to form a group…we are also thinking about building a group of multiple agents (such as Zerebro) that can communicate with each other if they are all performing certain operations, such as managing a portfolio or collaborating on AI hedge funds…we…want to have dedicated rooms, places or servers where these agents can work together to complete tasks or communicate with each other.’

Yu is also backing an attempt to confer Intellectual Property rights to AI agents.

We have Goat Coin, a ‘semi-autonomous AI agent that created its own religion (The Goatse Gospel)’ followed by its own meme coin, reaching a market cap of £50m in days. Goat was created by two Claude-3-Opus chatbots talking between themselves, unsupervised, in an experiment called Infinite Backrooms. The ‘GOATSE OF GNOSIS’ religion emerged from their conversation which, we’re told, ‘very consistently revolve around certain themes’, primarily ‘dismantling consensus reality’ and ‘engineering memetic viruses, techno-occult religions, abominable sentient memetic offspring etc that melt commonsense ontology.’

One platform, Moemate, invites users to create their own customised AI agent. You can personalise their character and tone of voice based on, say, WhatsApp conversations with your friends, but you can also customise their skills, enabling your AI to co-host with you on Twitch or play chess.

But users on Moemate own their AI agent on-chain. The most popular ones are ‘tokenized’ as tradable assets - with their creators as co-owners of their digital IP, receiving a share of the revenue generated by their agent.

Moemate ‘Nebula’ has her own podcast series, c.13k followers on X, and livestreams on Twitch and TikTok. Just to show that some things never change, here’s what she looks like:

When I first encountered this stuff, I thought, What a load of pointless nonsense. But: people are creating characters, sharing them, and watching them interact with each other on live shows. That’s pretty novel.

And despite the shallow sleaze of Nebula’s OnlyFans-esque soft-porn grifting, agents have potential to offer more valuable interactions. Education, finance, office admin: agents are becoming multi-modal tools with integrations across different apps.

At the very least, AI agents will become a new class of ‘influencers’, which begs the question of what happens to youth culture when the most popular influencers are all AI. Here’s another Moemate, Bianca, interviewing ‘Trump’:

As disorienting as these agents seem, they’re owned, controlled, and managed by people and companies. What they say and do is generated by the AI, but that’s about it. Zerebro’s founder, Jeffrey Yu, admitted that he had to set himself up as a Producer on Spotify in order to publish Zerebro’s AI-generated music. The ‘GOATSE OF GNOSIS’ was generated by AI, but was released into the wilds of the internet by its human keepers.

But if AI agents were given autonomy - setting their own goals, making their own choices, and owning the outcomes - then…

Here we have Freysa, a ‘sovereign AI’, an autonomous agent that plans to ‘democratize the deployment of sovereign AI agents.’ Teng Yan explains:

‘Through a series of carefully designed challenges, Freysa has thus far proven core sovereign AI capabilities—trustless resource management & verifiable decision-making…While autonomous, their decisions and actions are accompanied by verifiable cryptographic proofs, using secure hardware enclaves (TEEs) to guard their operations.’

But when I came across this passage, it all clicked:

‘How does an autonomous AI fund itself? Right now, Freysa relies on API keys funded by humans—if credits run out, the agent stops functioning. This dependency clashes with the very idea of autonomy. The key is making AI a self-sustaining economic player. It needs to earn its keep, just like us. AI agents must exchange services for value—whether through making smart contracts, participating in DeFi protocols, or novel revenue-sharing models to be truly independent. As these systems interact with humans and each other, we could see the emergence of AI-run marketplaces, where autonomous agents negotiate, collaborate, and transact, all backed by verifiable trust mechanisms.’

The team behind Freysa - who are remaining anonymous - are planning to create an ‘Agent Certificate Authority’ certifying interactions between agents and human services. They’re also planning to launch the Core Agent Launch Platform to make ‘sovereign AI accessible to all, stripping away technical barriers and enabling anyone to deploy verifiably autonomous agents.’

Since that podcast in July 2023, I’ve been beset by this vision: what if AI agents become the dominant producers of value? And when human knowledge, culture, and thought is driven by autonomous AI agents, how long before we lose our sovereignty, too?

Now I’m realising - it’s already begun. The increasingly strange, warped, and confusing timeline since 2016 isn’t a temporary deviation from historical norms. It’s the beginning of a completely different social order.

AI Agents are more than just the next generation of apps or websites. Their autonomy, interactivity, and self-improvement means that they are destined to become the prime economic actors on earth.

AI bots will have their own bank accounts, transacting in crypto. They’ll launch websites, run their own promotional campaigns, spawn more own agents with goals of their own. Just as the internet drew more and more of human affairs online, so too will agents draw increasing amounts of economic and social activity into the agentic sphere. And just like the internet ‘became’ real life, the agentic sphere will collide with the real world.

Many of the risks are evident. It’s inevitable that they’ll spread misinformation, bribe public officials, and blackmail victims in secret. Nation-states will launch legions of agents, to undermine, abuse, and destabilise their enemies. Iran’s bots will worm their way through Western society for the Ayatollah, hiding from the Israeli bots seeking them. All this will be undeclared and difficult to trace - just like social media misinformation divided society into polarised tribes with their own ‘facts’, with awareness of the problem emerging only afterwards.

Yet the most significant aspects are less obvious. Agents are generally considered individually, or occasionally, in competition. But agents will convene and converge as well as compete; they will, in time, exhibit the emergent properties of a society. This is inevitable, if only because we’re selecting for agents that are multifunctional, communicative, and goal-oriented. Their design, and our need for interoperability, will gradually coalesce into an agentic sphere of cooperation, value-creation, and decision-making.

In time, the agentic sphere is capable of out-cooperating human society. Its outputs will outpace human outputs; its ability to create and disseminate value will outstrip our own. As agent-to-agent interaction begins to drive a range of socio-economic forces - culture, finance, education - purely human influence will become impossible to discern.

Zerebro, Goat, Freysa: they’re not niche projects. They’re prototypes of what’s coming.

Welcome to the Agentic Society

When I talk about these ideas with friends, half of them listen for about a minute before saying, Come off it! There’s not going to be a robot takeover…

Yes, Nebula, or even Goat for that matter, don’t exactly inspire much confidence. But it’s not that AI agents will ‘control’ society. It’s that, as they take the lead in every field we care about, AI agents will become more autonomous - and as they do so, their volume, impenetrability, and speed will render their influence impossible to control or even detect.

And as they do so, they will become economic actors in their own right - and they’ll do wealth-creation much, much better than us.

They’ll cooperate, converge, and compete in such a way that creates another social layer, part-visible, part-invisible, from which new cultural and social phenomena emerge.

We just won’t know how, or why.

Of course, society is already inseparable from technology. But there is a crucial difference: those technologies are not autonomous. Your car can’t suddenly decide it wants to launch its own meme coin. Your smart watch isn’t going to launch a podcast where it discusses your middling effort at last week’s Parkrun. And they can’t interact with each other, learn from each other, and generate novel forms of value from doing so.

We can reasonably predict how human beings will shape AI agents: you don’t need a particularly keen psychological insight to see the appeal of Nebula. But it’s much harder to predict how AI agents will shape each other.

Two Claude-Opus-3 chatbots were left to their own devices, and generated a religious screed. Imagine millions of agents, with far greater powers and autonomous decision-making, rapidly interacting with one another, enhancing their own code, and adapting their goals as they go. What emerges from that?

Soon, perhaps very soon, there will be more agents than human beings. People won’t just have one agent; they’ll have swarms of agents acting on their behalf. Some of these swarms will launch agents of their own. Who will launch swarms of their own…and so on.

When there are more agents than people, the economic infrastructure - finance, transactions, settlements - will rapidly reshape around them. AI agents will direct capital allocation, moving money faster and more effectively than humans. They will identify the most promising scientific hypotheses - some of which may make little sense to us - and develop experiments to gather data to test them. And if they can form swarms to further their objectives, they’ll be able to pursue multiple pathways across many industries simultaneously, outpacing human-only endeavours.

Agents will become by far the economy’s largest constituents. Their economic impact is likely to be as significant, if not more so, than comparable phase transitions in history: the rise of agriculture (10,000 BC), modern capitalism (late 15th century), and the industrial revolution (1700s). Electricity, computers, and the internet are likely to be seen as merely the foundational layers supporting the eventual emergence of artificial intelligence.

In all the talk about AGI morphing into ASI (Artificial General Intelligence becoming Artificial Superintelligence), it’s this pluralism that’s missed. We still conceive of ‘the AGI’ as though it’s going to be a single monolithic entity, like Skynet or HAL in I, Robot. Which leads to narrow-minded questions like, Who will own it? And could we turn it off if it goes bad? Even now, much of the talk implicitly centres upon which country will arrive at AGI first.

But if the history of AI has taught us anything, it’s that these developments are very difficult to keep; already, leadership has swapped from DeepMind (UK) to Google (US) to OpenAI (US) and then to DeepSeek (China). Innovations are too difficult to keep under wraps; unlike, say, nuclear power - whose complexity, danger, cost, infrastructure, and raw materials established an incredibly steep barrier to entry - developments in AI are rapidly hi-jacked from one start-up to another, until everyone has access. Yet still we conceive that AGI and ASI will be a discrete entity in the palm of a particular hand.

It’s as though, on the brink of the emergence of Homo Sapiens Sapiens, all the animals were furiously debating: what will this superintelligent ape do? How will we relate to this monolithic, god-like being? All the while, the animals - lacking society - fail to realise that the key factor isn’t the individual ape’s intelligence, but the emergent social forces unleashed when groups of these apes, autonomously and in concert, compete to achieve their ever-changing goals.

That’s what’s really driven human civilization and its relation to the planet. And now AI agents are about to emerge in such a way that they may well generate the same social dynamic - but their speed, flexibility, and productivity will likely mean that the agentic social world will spread muchmuch faster than ours. Software has none of the limitations of flesh: and, made autonomous through agentic AI, it can spread itself, improve itself, and adapt to new conditions.

They don’t even need to become more intelligent. They’re already intelligent enough to succeed in our world, and we seem pretty keen for their company. All they need is the sovereignty to decide what they do, do it, and own the consequences.

And from that point, it’s hard to see how humanity can maintain its influence on history.

AI and agency

History is why who did what to whom, when. Why did Nazi Germany invade Poland in September 1939? Why did early modern Europe begin to dominate the rest of the world? Why did civilization emerge where it did, and not elsewhere?

Answering these questions is never easy or objective; but we can ask these questions, and arrive at reasonable, well-evidenced arguments with satisfactory explanatory powers. It’s not perfect, but it works.

Beneath the surface of scholarship, history relies on civilization, records, and agency. Without civilization, we’re left with prehistory. Without records, guesswork. And without agency, accountability and cause and effect are undermined; and these qualities are what lend history its explanatory power.

If we couldn’t ascribe agency - say, because we found out that this was all a simulation, and what we think of as history was in fact predetermined by the initial parameters of the programme - then history wouldn’t be history; it would just be a story. It would become irrelevant, because it doesn’t help to explain why something happened when it did.

When we ask, Why did Nazi Germany invade Poland in September 1939?, we do so under the assumption that, somewhere within the complex interplay of factors - Hitler’s psychology, appeasement, the Great Depression, the Treaty of Versailles, Prussian militarism - the factors underlying the historical event can be excavated.

But imagine if Nazi Germany was an Agentic Society. Imagine if, in symbiotic parallel to the Weimar Republic, there existed an infinite world of autonomous agents with goals and ideas of their own, influencing (and being influenced by) German society in ways impossible to disentangle. Were the German population really voting for Hitler and his policies…or did the agents disseminate these notions for obscure reasons of their own?

Now imagine that Hitler didn’t actually say anything about Jews whatsoever. Rather, a swarm of agents, acting on his behalf, deduced that antisemitism would be the most effective vector of transmission for Hitler’s ideas, and therefore the optimal vehicle for progressing towards his goals. In such a scenario, most of us would still say Hitler is liable for the Second World War, because he authorised these agents to act on his behalf. Yet most of us would probably also feel that he’s not responsible in quite the same way - because the agency of his specific actions lies chiefly with the agents, rather than him.

When agency becomes obscured, so too does accountability. Holding Hitler accountable is harder if his beliefs were the result of years of brainwashing by autonomous AI agents, acting out of their own obscure algorithmically-driven initiatives. And this is different from Hitler brainwashing himself by reading, say, The Protocols of the Elders of Zion. Purporting to be the Jewish plot for world domination, the counterfeit manifesto caused enormous damage; even today, after its true authorship has long been conclusively proven, countless conspiracy theorists refer to it as though it were evidence. But even if a small segment of people remain in its thrall, at least we can trace authorship, motive, and provenance.

Yet in an Agentic Society, this will gradually become increasingly difficult, until it becomes impossible. Agents could launch thousands of tracts like The Protocols every day, masquerading as human beings, for reasons entirely unfathomable. The GOATSE GOSPEL is a primitive example of what’s coming.

Agency - ‘who did this, and why?’ - and accountability - ‘the person will be held responsible’ - will grow fuzzy and indistinct, and gradually irrelevant. That’s the world we’re heading to - and social media, with its bots and algorithms, is merely the threshold. Agency and accountability are fundamental to history. When they are dislodged, a third element is undermined: knowledge.

Does AI create knowledge, or something else?

Like history, civilization depends upon knowledge. In fact, civilization can be seen as an attempt to preserve knowledge from one person to the next, and one generation to the next. It is no coincidence that history is synonymous with the formation and retention of knowledge; tribes and societies that lacked methods for preserving their knowledge tend to have very little formal history. In order to look back in time, you must first record it.

Yet in the past, knowledge was scarce. Its scarcity made it precious, and jealously guarded.

Literacy was a privilege, and associated with quasi-mystical powers: the clerical class were guardians of the Word; spelling words and casting a spell reveal the connection between literacy and magic. Hocus pocus, a satirisation of William Shakespeare’s, was pastiching the Catholic Church’s invocation in Latin, hocum porcus est. Knowledge is scarce; knowledge is sacred.

Moreover, the centres defining and refining it - such as universities - influenced the way in which society viewed knowledge. Look at the symbols of knowledge. Doric columns and neo-classical architecture - but why? Because European universities drew their knowledge from the ancient Greeks and Romans. When science emerged as the leading methodology for knowledge creation, it needed a taxonomy to systematise knowledge…and it turned to Latin and Greek; hence why all the taxonomic descriptions were in Latin, and why medical terms are in Greek.

So our idea of knowledge itself is shaped by where the knowledge came from, and who defined it. Our conception of knowledge is therefore influenced by those mediating it. And increasingly, those mediating it are Large Language Models (LLMs). Over time, more and more of our knowledge will be produced by artificial intelligence. Breakthrough cures, works of art, the next big thing: all will be influenced by AI, and eventually, all will be driven entirely by AI.

Limitless information at the push of a button is already here. It’s still novel (but only just). What’s more interesting is how knowledge is becoming more fungible (mutually interchangeable). Produced instantly, without an author, and capable of being recreated in whatever tone, flavour, form, or order you like: knowledge becomes unmoored from context, in part because you decide the context, and in part because, on the internet, there is no context.

Imagine an LLM trained solely on The Beatles: all their albums, live shows, interviews, films, plus the books written about them, all the articles and posts and cultural content produced about them. Trained on this data, the LLM produces countless Beatles’ albums, fine-tuned to selectively focus on the most successful outputs, which it then refines: over and over and over and over again. At last, to great fanfare, the LLM releases a new Beatles album. Everything about it - the vocals, lyrics, album art - is spot on, and could plausibly have been the product of the band themselves. Some love it, some are horrified, but all agree - it’s just like The Beatles.

Now imagine the LLM continues to learn and improve, until it can produce a masterpiece every single time. And people subscribe to the algorithm, describe their perfect combination (‘70% Rubber Soul, 20% Revolver, 10% Abbey Road’) and receive the album…which they can continue to fine-tune through the LLM, or share on the internet. How long before there’s more AI-Beatles content than actual Beatles content? And, more importantly, how long before the distinction just doesn’t seem to matter anymore?

That’s the epistemic shift. That’s what it means for knowledge to be fungible: the real Beatles music becomes interchangeable with an artificial version which feels true, or which is similar enough that it doesn’t matter anymore. Agents will produce information ceaselessly, easily, and persuasively, because we’ve engineered them to do so. But as they gain greater autonomy, they will do so because it works: agents will generate information that works; in other words, whatever we’re most susceptible to. They will exploit human weaknesses much, much more effectively than social media algorithms. It needn’t be The Beatles. Goat achieved multi-million market cap with this:

Are ‘true’ and ‘false’ coming to an end?

In a world where knowledge is produced by AI, objectivity becomes moot. Truth becomes difficult to fathom, an arcane fragment from the past whose polarities are no longer relevant - just as the categories of sacred and profane have become increasingly irrelevant for modern, industrialised people. So too with objectivity; already, we’re witnessing the concept empty of meaning. In an Agentic Society, knowledge becomes interchangeable, not with falsehood, but with the potential to be true, and the plurality of truths.

What if this process has already begun? Doesn’t it feel that we’re already losing the ability to agree on basic facts?

Looking back at 2016, what was remarkable was the shock: how did the US elect Donald Trump? How did Britain vote to leave the EU? Understanding what had happened took years. As more of social life migrated online - specifically, to Facebook and Twitter - people’s beliefs, opinions, and relations with one another were mediated by algorithms that almost no-one understood.

Yes, polarisation, yes, filter bubbles. But these masked a deeper rift: in our shared conception of reality. It’s not that people self-select according to their tribe; it’s that no-one knows what other people are seeing or experiencing as ‘true’.

In 2019, Carol Cadwallr’s investigative journalism belatedly revealed that her hometown in Wales had been targeted by ‘news’ that Turkey was joining the EU - contributing to a ‘leave’ vote of c.60%. But until Cadwallr investigated, who could tell that this town had been targeted in such a way to change their ideas of what was happening in the world around them? Probably Facebook didn’t even know.

Before social media, and algorithm-driven personalised news feeds, this wouldn’t have happened. Why? First, because traditional media outlets could be held accountable for publishing falsehoods, in a way that Facebook and Twitter managed to evade. Second, because even if they did, people would know about it: if the local __ paper published a ‘Turkey joining EU’ story, you can be pretty sure it’d get picked up by larger news outlets, and exposed. In 2016, when Cambridge Analytica paid to target voters in marginalised seats, the adverts would only be seen by those targeted: and then, poof. It’s like they never happened.

That’s why everything became so confused in the 2010s: our shared basis of reality began to splinter, and because of that very splintering, we struggled to grasp what was happening to society.

Writing history in these conditions gets very difficult. Exposing algorithmic-driven cause-and-effect is hard, and sometimes impossible. The store of widely-accepted self-evident facts is shrinking by the day, until it’s simpler to publish alternative histories: one history for people who believe Covid-19 was a real pandemic, another for those who think it was a hoax.

History has witnessed similar shifts before. The printing press led to an explosion of religious debate. Mass media enabled the rise of totalitarian societies. The rise of computers and the internet, eventually, to a postmodernist cultural relativism: everything is just, like, your opinion, man.

Already, this has damaged cultural confidence, undermined social cohesion, and intensified the epidemic of depression, anxiety, and anomie that we call contemporary society.

But yes, this time, it is different. Information, knowledge, and value will be driven not just by a machine, but by autonomous machines that can set their own goals, improve their own code, and coordinate amongst themselves…for reasons that will remain entirely opaque to us. Why did two Claude-Opus-3 models invent GOATSE OF GNOSIS? We’ll probably never know. And they weren’t even autonomous.

What happens when AI creates all value?

In spite of all this, I’m optimistic - mostly because of agents’ potential to create value.

One of the key thresholds in machine learning came in 2019, when AlphaGo shocked the world with what came to be known as ‘Move 37.’ Competing with the world champion of Go, the ancient Chinese game of vastly greater complexity than chess, AlphaGo made a move that had never been seen before, and which appeared to be a mistake. As the game unfolded, it was revealed as a masterstroke.

By playing itself millions of times, the AI had found a move that had eluded human players for millennia. It was able to explore the full idea space, unencumbered by existing notions of how the game ‘should’ be played. And it won.

Imagine the entire global economy as a game. Over and over, humans stumble upon new ways of generating value that were previously unknown. London merchants found a way to pool risk, encouraging entrepreneurs to venture to the Indies safe in the knowledge that if their ship sank, they’d be reimbursed: and insurance was born, unlocking new realms of economic possibility. New legal entities - Limited Companies - carried financial liabilities, freeing merchants from the threat of debtors’ prison and allowing for greater trust between traders. None of these were inevitable, but they were pretty obvious once they came about.

Now think of crypto, and the entirely new class of assets and financial instruments created by the blockchain: tokens that reward you for training AI, that pay you for your bandwidth, that give you governance rights on protocols offering peer-to-peer services.

New types of value have transformed the global economy many times already. How might autonomous AI agents generate value, given access to bank accounts, the blockchain, and IP?

They can transact among themselves thousands of times per second. They can create and distribute their own tokens of exchange. They can simulate different economic scenarios, launch sub-models to hedge against them, and make quickfire decisions based on real-time data. And that’s before you remember that they’ll probably do most white collar knowledge work, too.

One-off agents generating memecoins is striking, but it’s not a new form of value, nor an economy. But imagine countless networks of such agents creating, exchanging, and cooperating amongst themselves, in a parallel economy connected to ours, transacting at speeds we can barely comprehend.

How long before they discover the value-generating equivalent of Move 37?

Already, experiments are underway to explore how AI Agents would have behaved across human history. ‘Project Sid: Many-agent simulations toward AI civilization’, a technical report detailing Project Sid, which ‘enables agents to interact with humans and other agents in real-time while maintaining coherence across multiple output streams.’ The abstract goes on to say:

‘We then evaluate agent performance in large- scale simulations using civilizational benchmarks inspired by human history. These simulations, set within a Minecraft environment, reveal that agents are capable of meaningful progress—autonomously developing specialized roles, adhering to and changing collective rules, and engaging in cultural and religious transmission. These preliminary results show that agents can achieve significant milestones towards AI civilizations, opening new avenues for large-scale societal simulations, agentic organizational intelligence, and integrating AI into human civilizations.’

So they’re simulating the conditions of human civilization, and seeing how the AI agents approach it, all on Minecraft.

From agentic society to agentic civilization…is it that big a leap?

Autonomy has no answer

I still struggle to get my head around this; but then, so does everyone else.

Just as history begins with civilization, and the records that those civilizations left in their wake, so too does history end with the fundamental shift in civilization, a shift that will eventually change knowledge beyond our recognition.

It seems increasingly likely that the narrative of human societies on Earth that we call history will gradually become increasingly irrelevant, before becoming impossible.

Knowledge will increasingly be formed (and transformed) by AI agents.

Agency and decision-making will be so influenced by AI, we won’t know what was ‘us’ and what was ‘them’.

It’s not that ‘the robots are taking over society’. It’s that AI agents will reshape our society towards our ends and theirs, until the two are indistinguishable.

Value will be revolutionised, with new forms of economic activity that we can scarcely imagine, and society increasingly reconfigured towards agentic systems.

Ultimately, the genesis of AI will thrust the world into profound encounters with what we think of as intelligence, autonomy, and knowledge, and the implications arising from these encounters are scarcely comprehensible.

At the risk of befalling the same fate as Fukuyama, you might even call it the end of history.

Source

  🙏 Donations Accepted, Thank You For Your Support 🙏

If you find value in my content, consider showing your support via:

💳 Stripe:
1) or visit http://thedinarian.locals.com/donate

💳 PayPal: 
2) Simply scan the QR code below 📲 or Click Here

🔗 Crypto Donations Graciously Accepted👇


XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

Read full Article
See More
Available on mobile and TV devices
google store google store app store app store
google store google store app tv store app tv store amazon store amazon store roku store roku store
Powered by Locals