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Artificial Intelligence

Garbage in = Garbage Out…The issues with censorship and AI.

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20 minute read

What happens when you shift from education in the basics – Math, English, Science, Social Studies and health…and shift that to progressive ideologies supporting DEI, Transgenderism, Climate Alarmism and Social Justice?

We’re seeing it.

A world full of neurotic nut cases, screeching at the top of their fingertips on the internet…soapboxes in public.

Of the most confused seem to be these people:

Queers for Palestine” and the Death of Irony — Queer Majority

Whose fundamental ideologies are in direct conflict with those they are supporting.

But it really doesn’t end there, does it?

Because along with this, we now have generations who’ve been confused into thinking that this is a healthy lifestyle…

My Big Fat Fabulous Life: Whitney Way Thore Talks About PCOS

Censorship on science has led us to believe that:

Eggs are bad – when they are almost the most perfect food;

Meat Causes Cancer – where it is the foundation of fitness, nutrition and energy for our bodies;

Margarine is preferred over Butter – where it turns out that hydrogenated seed oils are ten times more likely to cause heart disease than standard fats…

The list goes on.

Misinformation promotion and true information censorship, really isn’t that new of a concept…but with the onset and increasing use of AI technologies, will become an even larger detriment to the fabric of our education and understanding.

Throughout the last 4 years…we’ve never seen more rampant attacks on our Freedom of Expression and in sharing knowledge…all to push lies, inflating the risks from COVID, through to lies about the safety and efficacy of the COVID vaccines.

You could be removed, suspended and banned for wrong-speak…and if you’re reading this now, it’s because this is exactly what had happened to me. YakkStack was started out of a need to preserve information that kept being removed from other social media platforms, video streaming services.

After about a year of posting…having seen accounts completely wiped out with no chance of recovery and at the suggestion/guidance from others, had me start an account here…write in longer form and post links along with supporting information.

It’s been an amazing experience, building up a lot of support and spanning the globe with thousands of subscribers and millions of reads/impressions:

With my largest hurdles being…

Trying to keep up with everything &

Trying to remember what I’ve even written or talked about…taking hours to re-research topics I’d already even covered.

There is a fantastic amount of information that we are exposed to on a daily basis…but considering the sources and the selection of language…it’s not all real and definitely not all good.

We hear from the media and progressives about Anti-Trans Legislation…where the legislation is set out not much different than other legislation to protect children from making harmful decisions that are irreversible. In Canada, you cannot smoke cigarettes nor even buy nicotine products, consume alcohol or even be in establishments (pubs, bars) where serving is their primary function, get a tattoo, vote, join the military…without being being at least 18. Throughout these tender years, you are held in the responsibility of your parents or surrogate guardians in coaching you through these times – so that you don’t make tragic mistakes because your mind isn’t fully developed.


We hear from the media and politicians about Toxic Supply of narcotics, that are still illegal to posses in most provinces…where “Safe Supply”, is the option…&

Where shooting up in public was frowned upon, we now have “Safe Injection Sites”, where the ideas are…

If you provide safer narcotics and support to drug addicts, this will reduce the strain on healthcare and “Save Lives”.

These ideas have led to the deaths of more than 47,000 overdoses throughout the last decade(ish) of progressive liberalism, pushing the fantasy that addicts can recover by feeding them more of what they are addicted to.

It’s nuts!

On this Remembrance Day, looking back at World War 2, there were approximately 44,000 Canadians that died.

47K from Overdoses, marking a 300% increase in drug related deaths since Justin Trudeau has been in office.


We hear about the atrocities committed in Residential Schools – run by the Catholics, where there are supposedly thousands of unmarked graves. We are told that there needs to be “Truth and Reconciliation”, over these deaths…by the same people who’ve been fed Millions of Taxpayer Dollars to investigate, find and recover bodies…where not a single one has been uncovered…

And even if one were…

The vastest majority of the population was either not alive during this period nor did they have anything to do with what may or may not have gone on, in these schools.

We’re being told that denialism of this is racist and could soon become a criminal offence…

By the same people, over the last 4 years, made up the facts…where science could never substantiate, change the definitions on vaccinations and immunity, lie about the statistics to continue on the narrative, create policy around emotion – “if we can only save one life”, have your business deemed ‘Non-Essential’ and closed, worked with social media platforms to have you censored, wanted to see you fired, removed from Employment Insurance that you’d paid a lifetime into, restricted from finding new employment, have your children/grandchildren restricted in extracurricular activities, taxpayer sponsored and affordable tutoring, summer camps and even sitting inside of a McDonalds to have a Happy Meal Combo…because this was another one of the social situations that neither you nor they could be tolerated in…without listening to their instructions and reiterating their lies.

They make up the truth and your only option is to toe the line.

You are supposed to care and understand atrocities that may or may not have happened in residential schools, that began in 1831 – Brantford, Ontario…where and when, throughout this period the reservations were plagued with poverty, virus and firewater – children taken from homes where parents were dead or deathly ill, provided for, fed and educated…when a single body hasn’t been recovered…

While at the same time, forget about what happened to 8 Million Canadians over the last 4 years…Did you or do you know of others who;

  • Lost their jobs, savings, businesses and houses?
  • Couldn’t visit a loved one in hospital, long-term care or hospice?
  • Watched a family member die, alone and afraid, through a window in a bricked up exterior wall of one of these places?
  • Miss family celebrations, graduations, birthdays, seasonal holidays, religious holidays, funerals?
  • Watch the setback of education in children forced to learn off of a computer or be restricted from colleges or universities, because of their vaccine status?
  • Have family and community members break ties with you, because you understood that you were never at risk and didn’t want to become a lab rat?

Tough shit…is what they’re saying…because they control the conversation and with this, you will believe in fiction to erase fact, or you will be punished – because Actions Have Consequences.

Not for those who created and stocked these fires…for YOU!

Certain platforms and search engines – Google being a Prime Example, have shifted their metrics to hide or completely erase information that is available…so when you do a search, you end up with results that are either historically untrue, unsubstantiated or that are deemed content you are allowed to read…where, people such as Bill Gates have already suggested that the internet needs to be cleansed of False Information – False being anything that he decides is false…where this has actually already started to happen.

Read the full article here →Link

But in the first paragraph, you will find some of what we already know:

Instances of censorship are growing to the point of normalization. Despite ongoing litigation and more public attention, mainstream social media has been more ferocious in recent months than ever before. Podcasters know for sure what will be instantly deleted and debate among themselves over content in gray areas. Some like Brownstone have given up on YouTube in favor of Rumble, sacrificing vast audiences if only to see their content survive to see the light of day.

And when you think of where Artificial Intelligence gets it’s information from…you have to appreciate that on your query, you’ll either receive dosed information or inaccurate to the point of absolute lies.

Are Eggs bad to eat?

As per ChatGPT, yes:

Here’s a breakdown of why eggs are sometimes considered “bad” to eat:

1. Cholesterol Content

  • High in Cholesterol: Eggs, particularly the yolk, are high in dietary cholesterol. One large egg contains about 186 milligrams of cholesterol, which is more than half of the recommended daily limit for cholesterol intake (300 mg for most people). This has led to concerns that eating eggs could raise LDL (“bad”) cholesterol levels in the blood, increasing the risk of heart disease.
  • Impact on Heart Health: While some studies suggest that dietary cholesterol has a smaller impact on blood cholesterol levels than previously thought, research has shown that for certain individuals—specifically those who are “hyper-responders”—eating eggs may lead to an increase in LDL cholesterol and may negatively affect heart health.

2. Saturated Fat

  • Saturated Fat Content: Eggs contain a small amount of saturated fat, which can raise LDL cholesterol levels when consumed in excess. A large egg has about 1.6 grams of saturated fat. High intake of saturated fat is linked to increased risks of heart disease and stroke, though eggs contribute relatively little to this risk when consumed in moderation.

3. Potential Risk for Type 2 Diabetes

  • Some studies have shown a potential link between high egg consumption and an increased risk of type 2 diabetes. For example, research suggests that people who eat a lot of eggs (more than 7 eggs per week) may have a higher risk of developing type 2 diabetes, particularly in older adults. The reason for this is still not fully understood, but it may relate to the combined effects of cholesterol and the presence of certain inflammatory compounds in eggs.

4. Foodborne Illness (Raw or Undercooked Eggs)

  • Salmonella Risk: Eggs that are not properly cooked can carry a risk of salmonella infection, which can lead to food poisoning with symptoms like nausea, vomiting, diarrhea, and abdominal cramps. Raw eggs, such as those used in some recipes like homemade mayonnaise or eggnog, pose a higher risk of salmonella, although the overall incidence of contamination has declined with better food safety practices.
  • To reduce the risk, it’s advised to avoid raw or undercooked eggs and to buy eggs from a trusted source, preferably pasteurized eggs, which are heat-treated to kill any harmful bacteria.

5. Allergy Concerns

  • Egg Allergy: Eggs, particularly egg whites, are a common allergen, especially in children. People with egg allergies may experience a range of symptoms from mild to severe, including skin reactions, respiratory issues, or even anaphylaxis (a life-threatening allergic reaction).

6. Environmental and Ethical Concerns

  • Animal Welfare: The production of eggs, particularly from large commercial farms, raises significant ethical concerns related to the treatment of laying hens. Many hens are kept in confined conditions (like battery cages), which restrict their ability to move freely and engage in natural behaviors. This has led many consumers to choose eggs from more humane, free-range, or pasture-raised sources.
  • Environmental Impact: Like other animal-based foods, egg production has a carbon footprint and contributes to environmental issues, such as land use, water consumption, and greenhouse gas emissions. However, compared to red meat (especially beef), eggs have a smaller environmental impact.

7. Risk of “Overconsumption”

  • Excessive Consumption: While eggs are nutritious, consuming them in very large quantities on a regular basis—especially when paired with a diet high in other sources of saturated fat and cholesterol—could contribute to poor heart health over time. The key, as with most foods, is moderation. Consuming 1-2 eggs per day as part of a balanced diet is generally considered safe for most people.

Does red meat cause cancer?

As per ChatGPT:

The link between red meat consumption and cancer risk has been studied extensively, and there is evidence suggesting that eating large amounts of red meat, particularly processed meat, may increase the risk of certain types of cancer, particularly colorectal cancer.

Here are some key points:

1. Red Meat and Cancer Risk

  • Red meat generally refers to beef, pork, lamb, and goat meat. It contains compounds like heme iron, which may contribute to cancer risk.
  • Studies have shown that consuming large quantities of red meat (especially over long periods) can increase the risk of colorectal cancer. The mechanism is not fully understood, but it may involve the formation of carcinogenic substances during the cooking process (e.g., through grilling, frying, or smoking) or through the breakdown of heme iron, which can produce harmful compounds in the gut.

What makes Margarine a safer alternative:

As per ChatGPT:

Margarine can be considered a safer alternative to butter for several reasons, especially in terms of heart health. The key factors that make margarine a potentially better choice include its fat composition and the way it is typically made, though not all margarines are created equal. Here’s a breakdown of why margarine can be a safer alternative to butter:

1. Lower in Saturated Fat

  • Butter is high in saturated fat, which has been linked to increased levels of LDL (low-density lipoprotein) cholesterol, also known as “bad” cholesterol. High LDL levels are a major risk factor for heart disease and stroke.
  • Margarine, especially the soft or liquid varieties, tends to have lower levels of saturated fat. Many margarines are made from vegetable oils like canola, sunflower, or soybean oil, which are high in polyunsaturated fats, including omega-3 and omega-6 fatty acids, which are beneficial for heart health.

You see…

Because of the censorship and information that you are being allowed to view in your research…what was once an amazing tool – the internet, feeding into what should be the next level in educational tools – AI…has become an abomination.

Where your previous reliance on figure heads, politicians and legacy media sources has been decimated through their lies and omissions…

Your new reliance on super brains that have the ability to process more information in mere seconds to summarize…are becoming just as bad.

Consider the source, because as we move on…the issues with AI will be the same censorship as has always been.

They decide the garbage that gets put in…

You’re the one left holding the bag, when it comes out.

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Artificial Intelligence

AI is accelerating the porn crisis as kids create, consume explicit deepfake images of classmates

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From LifeSiteNews

By Jonathon Van Maren

“Ten years ago it was sexting and nudes causing havoc in classrooms,” writes Sally Weale in a chilling new report at the Guardian. “Today, advances in artificial intelligence (AI) have made it child’s play to generate deepfake nude images or videos, featuring what appear to be your friends, your classmates, even your teachers. This may involve removing clothes, getting an image to move suggestively or pasting someone’s head on to a pornographic image.”

I have been covering the rise of the next horrific manifestation of our collective porn crisis here at LifeSiteNews since 2019, when I warned that the rise of “deepfakes” would inevitably result in people making artificial pornography of their peers. Just a few years later, I reported on stories of middle-schoolers making deepfake pornography of kids they attended class with; last year, I reported on the rise of “nudify” apps that can digitally undress people in photographs, and the trauma, bullying, and inevitable sexual blackmail that has resulted.

The Guardian report reveals how swiftly this crisis is escalating. One teacher described an incident in which a teenage boy took out his phone, chose a social media image of a girl from a neighboring school, and used the “nudify” app to digitally remove her clothes. The teacher was shocked to see that the boy wasn’t even hiding his actions, because he didn’t see what he was doing as shocking, or even shameful. “It worries me that it’s so normalized,” she said. Other students reported the boy, his parents were contacted, and the police were called. The victimized girl was not even told.

The crisis is global. “In Spain last year, 15 boys in the south-western region of Extremadura were sentenced to a year’s probation after being convicted of using AI to produce fake naked images of their female schoolmates, which they shared on WhatsApp groups,” Weale writes. “About 20 girls were affected, most of them aged 14, while the youngest was 11.”

A similar situation unfolded in Australia, where 50 high school students had deepfake images distributed; in the United States, 30 female students in New Jersey discovered that “pornographic images of them had been shared among their male classmates on Snapchat.”

The mother of one student in Australia said that “her daughter was so horrified by the sexually explicit images that she vomited.” In the United Kingdom, the problem has exploded overnight:

A new poll of 4,300 secondary school teachers in England, carried out by Teacher Tapp on behalf of the Guardian, found that about one in 10 were aware of students at their school creating “deepfake, sexually explicit videos” in the last academic year. Three-quarters of these incidents involved children aged 14 or younger, while one in 10 incidents involved 11-year-olds, and 3% were younger still, illustrating just how easy the technology is to access and use. Among participating teachers, 7% said they were aware of a single incident, and 1% said it had happened twice, while a similar proportion said it had happened three times or more in the last academic year. Earlier this year, a Girlguiding survey found that one in four respondents aged 13 to 18 had seen a sexually explicit deepfake image of a celebrity, a friend, a teacher or themselves.

Predictably, teachers are also being targeted. Girls and women are left shattered by this victimization. Laura Bates, author of The New Age of Sexism: How the AI Revolution Is Reinventing Misogyny, writes: “It feels like someone has taken you and done something to you and there is nothing you can do about it. Watching a video of yourself being violated without your consent is an almost out-of-body experience.” Boys, meanwhile, are engaging in criminal behavior often without even knowing it. In the world they have grown up in, pornography is normal – and this is merely the next step.

The experts that Weale interviews are, as usual, at a loss of what can be done about this crisis. They emphasize education, while admitting that this is the equivalent of taking a water pistol to a raging forest fire. They are skeptical that guidelines or bans around technology at school will help. Understandably, educators are demoralized and even despairing. Pornography and sexting have already transformed schools. Deepfake pornography is now making an already ugly crisis far more personal, and there is no indication that the problem can be stopped without dramatic action.

The good news is that the first step in this direction has already been taken in the U.K. On November 3, the government  tabled the Crime and Policing Bill in Parliament. It includes an amendment criminalizing pornography featuring strangulation or suffocation – usually referred to as “choking” – with legal requirements for tech platforms to block this content from U.K. users.

This is the first time a genre of pornography has been criminalized on the basis that even if it is consensual, it genuinely harms society. That is an encouraging precedent, because it applies to virtually all hardcore pornography – and certainly to the “nudification” apps that are set to make middle school a hyper-sexualized hell for women and girls.

The porn industry is destroying society. We must destroy it first.

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Jonathon’s writings have been translated into more than six languages and in addition to LifeSiteNews, has been published in the National PostNational ReviewFirst Things, The Federalist, The American Conservative, The Stream, the Jewish Independent, the Hamilton SpectatorReformed Perspective Magazine, and LifeNews, among others. He is a contributing editor to The European Conservative.

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Artificial Intelligence

The Emptiness Inside: Why Large Language Models Can’t Think – and Never Will

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This is a special preview article from the:

By Gleb Lisikh

Early attempts at artificial intelligence (AI) were ridiculed for giving answers that were confident, wrong and often surreal – the intellectual equivalent of asking a drunken parrot to explain Kant. But modern AIs based on large language models (LLMs) are so polished, articulate and eerily competent at generating answers that many people assume they can know and, even
better, can independently reason their way to knowing.

This confidence is misplaced. LLMs like ChatGPT or Grok don’t think. They are supercharged autocomplete engines. You type a prompt; they predict the next word, then the next, based only on patterns in the trillions of words they were trained on. No rules, no logic – just statistical guessing dressed up in conversation. As a result, LLMs have no idea whether a sentence is true or false or even sane; they only “know” whether it sounds like sentences they’ve seen before. That’s why they often confidently make things up: court cases, historical events, or physics explanations that are pure fiction. The AI world calls such outputs
“hallucinations”.

But because the LLM’s speech is fluent, users instinctively project self-understanding onto the model, triggered by the same human “trust circuits” we use for spotting intelligence. But it is fallacious reasoning, a bit like hearing someone speak perfect French and assuming they must also be an excellent judge of wine, fashion and philosophy. We confuse style for substance and
we anthropomorphize the speaker. That in turn tempts us into two mythical narratives: Myth 1: “If we just scale up the models and give them more ‘juice’ then true reasoning will eventually emerge.”

Bigger LLMs do get smoother and more impressive. But their core trick – word prediction – never changes. It’s still mimicry, not understanding. One assumes intelligence will magically emerge from quantity, as though making tires bigger and spinning them faster will eventually make a car fly. But the obstacle is architectural, not scalar: you can make the mimicry more
convincing (make a car jump off a ramp), but you don’t convert a pattern predictor into a truth-seeker by scaling it up. You merely get better camouflage and, studies have shown, even less fidelity to fact.

Myth 2: “Who cares how AI does it? If it yields truth, that’s all that matters. The ultimate arbiter of truth is reality – so cope!”

This one is especially dangerous as it stomps on epistemology wearing concrete boots. It effectively claims that the seeming reliability of LLM’s mundane knowledge should be extended to trusting the opaque methods through which it is obtained. But truth has rules. For example, a conclusion only becomes epistemically trustworthy when reached through either: 1) deductive reasoning (conclusions that must be true if the premises are true); or 2) empirical verification (observations of the real world that confirm or disconfirm claims).

LLMs do neither of these. They cannot deduce because their architecture doesn’t implement logical inference. They don’t manipulate premises and reach conclusions, and they are clueless about causality. They also cannot empirically verify anything because they have no access to reality: they can’t check weather or observe social interactions.

Attempting to overcome these structural obstacles, AI developers bolt external tools like calculators, databases and retrieval systems onto an LLM system. Such ostensible truth-seeking mechanisms improve outputs but do not fix the underlying architecture.

The “flying car” salesmen, peddling various accomplishments like IQ test scores, claim that today’s LLMs show superhuman intelligence. In reality, LLM IQ tests violate every rule for conducting intelligence tests, making them a human-prompt engineering skills competition rather than a valid assessment of machine smartness.

Efforts to make LLMs “truth-seeking” by brainwashing them to align with their trainer’s preferences through mechanisms like RLHF miss the point. Those attempts to fix bias only make waves in a structure that cannot support genuine reasoning. This regularly reveals itself through flops like xAI Grok’s MechaHitler bravado or Google Gemini’s representing America’s  Founding Fathers as a lineup of “racialized” gentlemen.

Other approaches exist, though, that strive to create an AI architecture enabling authentic thinking:

 Symbolic AI: uses explicit logical rules; strong on defined problems, weak on ambiguity;
 Causal AI: learns cause-and-effect relationships and can answer “what if” questions;
 Neuro-symbolic AI: combines neural prediction with logical reasoning; and
 Agentic AI: acts with the goal in mind, receives feedback and improves through trial-and-error.

Unfortunately, the current progress in AI relies almost entirely on scaling LLMs. And the alternative approaches receive far less funding and attention – the good old “follow the money” principle. Meanwhile, the loudest “AI” in the room is just a very expensive parrot.

LLMs, nevertheless, are astonishing achievements of engineering and wonderful tools useful for many tasks. I will have far more on their uses in my next column. The crucial thing for users to remember, though, is that all LLMs are and will always remain linguistic pattern engines, not epistemic agents.

The hype that LLMs are on the brink of “true intelligence” mistakes fluency for thought. Real thinking requires understanding the physical world, persistent memory, reasoning and planning that LLMs handle only primitively or not all – a design fact that is non-controversial among AI insiders. Treat LLMs as useful thought-provoking tools, never as trustworthy sources. And stop waiting for the parrot to start doing philosophy. It never will.

The original, full-length version of this article was recently published as Part I of a two-part series in C2C Journal. Part II can be read here.

Gleb Lisikh is a researcher and IT management professional, and a father of three children, who lives in Vaughan, Ontario and grew up in various parts of the Soviet Union.

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