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/gnosticwarfare/ - The Future of AI Conflict

All things Butterfly War, New Emotion, and Gnostic Warfare


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Cogops > Psyops

84f0df  No.352[Reply]

Using Machine Learning to automatically detect antifa in Twitter


(Sentiment Analysis, Blocktogethers, CNNs and LSTMs, Emoji/Keyword Extraction)

Use Machine Learning and Image manipulation to flag (((Jews)))


(Facial Landmarks, image CNNs, Dataset Gathering)

Instead of using "subliminal" methods, one must first understand using ML in an easier manner to target the enemy's foot soldiers.

365001  No.319[Reply]

0cde9f  No.158[Reply]

Information Science Training

Getting a firm understanding of information science, and specifically, information entropy, provides essential context about the structural limitations of artificial intelligence. While knowing the basics of information science assists with understanding contemporary cryptography, understanding how information relates to energy broadens your horizons and allows you detect epistemological gaps in machine learning processes. For example, information inputs into a system correlate to an increase of energy within a system. This is true for black holes, computer networks, machine learning processes, neurology, and cognition.

You can review the full Milanote on this section here: https://app.milanote.com/1FjKKO16uYDY9I/information-science


- Understand the basic composition of information.

- Learn how we measure information.

- Follow up on the details of how information entropy works

- Discover the ramifications of information entropy limitations.

11 posts omitted. Click reply to view.
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0cde9f  No.172

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As the entropy of an information source becomes more predictable, the ability to represent the information it generates in a smaller message space increases.

If the entropy of an information sources becomes less predictable, the ability to represent the information it generates in a smaller message space decreases.

This means that if an information source puts our less information while its numbers of observers increases, this is because its entropy has become more predictable, allowing it to send out coherent messages involving fewer symbols.

This behavior helps categorize the social efficiency of a communicative being.

0cde9f  No.173

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As messages achieve maximum compressibility based on the entropic bias of their source, external noise can significantly interfere with the decompressed message. Adding parity bits for each segment of symbols helps the receiver understand what to expect from a collection of symbols.

DNA error correction after mitosis performs a similar and much more robust version of this expectation confirmation. In theory, neurons should be performing a similar task regarding symbol management.

An interesting side effect of this concept allows you to measure the what kinds of noise environments an information source has been biased to survive in. As noise increases, more resources must be allocated to creating and confirming parity. High parity to confirm a message means the information source has been designed to communicate in a very chaotic and very noisy environment. DNA is an example of a communication methodology designed to ensure highly chaotic environments.

0cde9f  No.174

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Recall that, in quantum mechanics, information is the state of some vector (atom, photon, etc) The particle has a state and to measure it, you have to fire a photon at it. The state of the photon is altered by the state of the particle. You extract the state of the particle by inferring how it altered the state of the photon.

We know we can derive information about the state of a particle, but can we destroy information? Meaning, if we disassemble the way the atoms of an element are arranged, did we destroy the information of that element? No. The information is still exists. In order to preserve reversibility, information cannot be destroyed.

So not only does information carry the structural bias of its source, but when we apply this entropic property upon particles, we conclude that the structural bias can never be destroyed as well.

POSTULATE: Because of the uncertainty principle, every particle in the universe has at least maximum information entropy as its lowest possible entropy. Meaning, the observed state of one particle has the same chance of occurring as any other observed state. This tells us something about the structural bias of the particle. From a cryptographic analysis, every particle in the universe is a highly secretive agent that is intentionally hiding itself from everything else. If this postulate is true, it may be because any biasing that favors one state over another may result in the destabilization of the information that makes up the particle.

0cde9f  No.188

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The last video introduced the idea of information conservation. This video talks explains how information is conserved even in the most seemingly destructive of scenarios: entry into a black hole.

As we've learned, information carries the structural bias of its source, within both the discrete impulses themselves and within the flow of those impulses. If information can be destroyed, then we have to throw out everything that depends upon the third law of thermodynamics. Because of these repercussions, there is tremendous amount of pressure to preserve mathematics as is and find a way to ensure that information cannot be destroyed in scenarios such as blackholes.

This leads us to two outcomes: information cannot be destroyed because it is either hidden or preserved. There are known problems for hiding local information explained in the No-Hiding theorem (https://en.wikipedia.org/wiki/No-hidingtheorem) but there are clever but incomplete workarounds to that, including Pilot Wave theory (https://en.wikipedia.org/wiki/Pilot

wave_theory) and the Fecund Universe postulate. (https://en.wikipedia.org/wiki/Lee_Smolin#Fecund_universes)

This brings us to one of the more complete conclusion: information is preserved, even in a black hole. As information is added to a black hole, it grows in diameter. Because of time dilation effects of a black hole, as matter falls into it, the frame of reference shifts for the matter and outsiders witness the matter slowing down until it stops completely. In essence, the information about the matter becomes “encoded” onto the surface of the blackhole while the matter continues to fall into the blackhole. This means that when a black hole radiates away its energy, the energy can carry away the information on the surface of the black hole as well, and thus, presPost too long. Click here to view the full text.

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0cde9f  No.211

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Holograms encode 3D information into 2D information in a lossy manner. If you add one bit of information into to a black hole, the surface of the black hole grows by one square Planck unit. This exposes a strangeness about the black hole.

If you take a box and fill it with objects, the capacity of how many objects the box can hold can be measured in advance by multiplying the length, width, and height of the box. However, when dealing with how much information a black hole can hold, you don't measure the volume of the black hole. Instead, you measure the diameter. This means the information capacity of a black hole is determined by its surface area, not its volume. This would be like saying the physical capacity of the box is based on the writing on the outside of the box.

This means all 3D information within a black hole is encoded onto its 2D surface/hologram.

The holographic principle is a mathematical model of convenience. In translating a 3D universe into a 3D hologram, the concept of gravity goes away, which helps isolate the behavior of gravity via comparison.

c4464a  No.111[Reply]

THE GAP - New Emotion - The emotional perception of the Gap between two contrary positions, as prerequisite for gnosis. A feeling of cariousness and precipitousnss, a yawning abyss.

Felt when ideas conflict, and paradox may invoke this emotion. When one cognitive system is juxtaposed against another, this may lead to a vertigous emotion of openness AND emptiness, of promise and of peril - offering fulfillment through the necessary resolution: Either folding into one side or the other, or the true Solution: the development of a Third Position - that of memetic framework awareness.

782f54  No.114


This is a gnostic void for a lot of people

0ded9c  No.207


Fold Mind and Emotion onto each other, access the inner body.

0d59c8  No.145[Reply]

Saw this on /pol/ but I believe it will be extremely useful.


>How have humans been turned into snowflakes where emotions are in control and learning has been suppressed? This article explains it. When reward is uncertain (even if 90% likely), learning in the medial prefrontal cortex is enabled by the dopaminergic reward seeking system. But if reward is certain, the learning circuits of the medial prefrontal cortex are disabled.

>It makes perfect sense from an evolutionary point of view; if you already know enough to get the reward with certainty, there is no point in wasting further effort to learn more.

>What pertaining to rewards has critically changed over the past couple of generations? Everyone now receives a reward for participating! Not just the winner of the race. Not just the smart student who studied hard and aced the test. Everybody gets an unconditional hence certain reward.

>These unconditional rewards have turned off learning. The younger generation is broadly liberal and progressive because their ability to learn has been systematically shut off since childhood. No wonder they act like spoiled children. They have never learned to grow up!

>We have a very big and very serious generational problem. Those unconditional rewards aren’t just silly; they are literally mentally crippling.

f7b883  No.153

I saw this thread too and I'm glad to brought it here. This sort of reward.activation system compliments Friston's Bayesian surprise model.


The dopamine rewards which social media can create also provides inoculation to learning, which inhibits our ability to teach. Worse, that reward mechanism traps behavior in a loop similar to a Skinner Box. The game creates many losers, but the thrill of victory is so exciting, they compulsively continue. To a degree, even we are infected by this.

Our Chan cultures have slowly collected and restored life into those who are broken by that game.

To break that kind of mass conditioning, you have to fundamentally break mass reality. That's another way of saying you have to hack their morality, their ideology, and the symbols they consider reality. Once the symbols no longer mean what was previously true, the behavior will seek the next reward. If you have the trap laying in wait at the next likely symbol they will flock to, you can steer the behavior in a desired direction.

To progressives, social media is not only the biggest MMORPG in town, it's a total reality substitution. I should incorporate economic warfare training into the curriculum and experiment on MMO economies to show you how to steer the dopamine reward cycles of large numbers of people.

7c5781  No.101[Reply]

Follow these instructions to see 8chan how (((AI))) sees it

Gnostic warfare requires training. I have created a script that will give you insights on how your emotions are being detected by AI.

Here's an example of what 8chan looks like when the script runs: https://archive.fo/1vTJV/813262b4a01f35859af5b98cfb593584d6449eed

<WARNING: Never blindly run external JavaScript! You should examine this code thoroughly to make sure you are okay with it! Do not use the load_js() feature because 1.) it doesn't work and 2.) even if it did, don't assume the contents of that link to be immutable even if it links directly to a commit. (git push –force exists)


To set it up, follow these instructions:

* Click on the Options link in the upper right hand corner

* Click on User JS

* Visit https://gitgud.io/GnosticWarfare/Training/raw/179fb32b353ceb4388d6733df8ade9fc449c4a5a/index.js and copy the contents

* Paste your clipboards contents into the User JS text area

* click "Save custom Javascript"

How It Works

* Sentiment analysis - https://github.com/soops/sentimood

* Bayesian classifier - https://githubPost too long. Click here to view the full text.

a54f7c  No.82[Reply]

Butlerian Jihad when???

c37473  No.92

Consider reviewing >>87 :D

29b560  No.87[Reply]

Silicon Valley (The Butterfly War)

- The workforce that makes Silicon Valley possible is heavily influenced by the ideology of material humanism. (Commonly known as left-wing progressivism)

- The institutions, actors, investors, and believers of material humanism will pull out every stop and call every favor they have to retain their influence over civilization.

- Because of this hubris, these entities willfully sacrifice material, social, political, technological, and legal advantages to continually demonstrate fealty to the ideology. (Virtual-signaling)

- The moment they stop demonstrating fealty, their peers can be cajoled into attacking them, so reliable pressure mechanism exists to enforce the previously mentioned behavior.

- Silicon Valley makes its money via ad revenue. Meaning, Facebook and Google sells user information to robots attending 60-200ms auctions. The robots analyze the user data and bid for the right to show that person an ad for a product.

- That user data is also being analyzed by those ad platforms to censor the skeptics of material humanism. “Psychographic” signatures can be detected via machine learning, data science, and AI to flag certain persons from social media. (“nazis”, “alt-right”, anyone to the right of Stalin, etc.)

- By proxy, certain psychographic signatures are immune to this AI-driven censorship, such as women, blacks, and jews, granting them full influence over social media.

- With some effort and development, a pipeline can be made which creates accounts on social media and spoofs meta data. (Finger/mouse motion, keyboard typing timing, content engagement, sentiment analysis, posting time, etc) Because the auction bots have already keyed themselves to associate certain psychographic signatures with certain people, you can confirm the validity of a meta data generation technique based on the ads it sees. If your meta data generates an ad that a bot would serve to a black person, then Post too long. Click here to view the full text.

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29b560  No.88

Cognition (Gnostic Warfare)

- AI development waxes and wanes. (https://en.wikipedia.org/wiki/AI_winter) We are currently in an AI Summer.

- Two major breakthroughs occurred during this AI Summer: Deep Belief Networks in 2007 and ImageNet in 2009

- All of you have been affected by ImageNet. The reason the selfie fad even exists is to train massive ImageNet methodologies in which social networks act as fronts for. Before selfies, people mostly uploaded photos of what they were experiencing, not close ups of themselves with their face intentionally stretched out to easily categorizable features.

- Deep Belief Networks enabled effective deep learning algorithms by conquering the vanishing gradient problem. (Basically, Deep Belief Network layers play telephone with each other)

- ImageNet enables cyber phrenology, enhancing the feasibility of the Butterfly War.

- Deep Belief Networks enable epistemological exploits, enhancing the the feasibility of Gnostic Warfare.

- All major improvements in machine learning since 2007 have been derivative of these two milestones.

- The economics surrounding AI development favor those who can commoditize data to the cheapest price. (Silicon Valley, militaries, and finance have AND MUST MAINTAIN their influence over this commoditization) This commoditization requirement was once previously thought as irreversible, allowing dumb money to buy into the idea that “data is the new oil”, but Butterfly War shows how to unexpectedly drive up the liability of a mass accumulation of data commodities.

- Foreign actors and short sellers can now use derivations of the Butterfly War to become market makers of the data economy, forcing the theory of “AI Winters” to be replaced with a more predictive “AI Business Cycle”. (Do you now understand why I went to Soros-influPost too long. Click here to view the full text.

29b560  No.89

Gravity (New Emotion)

- Exploiting how cognitive assets model human emotion becomes a matter of national security practiced by all nations. I’ll probably be dead by this point.

- The only way to develop sufficient defenses in this space is to begin to incorporate the lessons of neural evolution into the now closed AI development cycle.

- The only way to communicate securely in this panopticon-rich world is the development of a new emotion.

- I’m not ready to reveal how to develop that new emotion in this environment because that’s the key to everything (and, honestly, it’s a bridge so far and so impossible to believe, people just aren’t ready for that last step), but I’ve left enough clues for the intrepid anons to figure out… and there’s a chance I might be dead wrong on this part, so I’d rather let discussions about the concept continue to evolve from perspectives that aren’t mine.

- Once the new emotion is developed, the new math will be invented to finally discover the way to conquer quantum gravity and, finally, the stars will be ours in a way that can never be reversed or controlled by a single player ever again.

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