Artificial Intelligence: tomorrow's danger?
At a time when the subject of artificial intelligence is everywhere in the media, I couldn't pass up an article on the subject.
As you'll have gathered, my aim isn't necessarily to go into too much technical detail.
What does this have to do with sacred geometry, you may ask?
Let me explain!
Before that, a brief summary of AI for dummies (including myself).
What is artificial intelligence (AI)? Definition and meaning.
Artificial intelligence (AI) is the intelligence - perceiving, synthesizing and inferring information - demonstrated by machines, as opposed to the intelligence displayed by humans or other animals. Examples of tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other input mapping.
The IBM website gives us the following definition:
While a number of definitions of artificial intelligence (AI) have surfaced over the past few decades, John McCarthy offers the following definition in a 2004 article, "It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI need not be limited to biologically observable methods.
However, decades before this definition, the birth of the artificial intelligence conversation was noted by Alan Turing's seminal work, "Computing Machinery and Intelligence", which was published in 1950. In this article, Turing, often referred to as the "father of computing", poses the question, " Can machines think? " From this, he proposed a test, now known as the "Turing Test", in which a human interrogator would try to distinguish between a computerized and a human textual response. Although this test has come under scrutiny since its publication, it remains an important part of the history of AI as well as a continuing concept within philosophy as it uses ideas around linguistics.
Stuart Russell and Peter Norvig went on to publish, Artificial Intelligence: A Modern Approach, becoming one of the leading textbooks on the study of AI. In it, they look at four potential purposes or definitions of AI, which differentiate computer systems on the basis of rationality and thinking versus acting:
Human approach:
- Systems that think like humans
- Systems that act like humans
Ideal approach:
- Systems that think rationally
- Systems that act rationally
Alan Turing's definition would have fallen into the category of" systems that act like humans".
In its simplest form, artificial intelligence is a field that combines computing and robust data sets to enable problem solving. It also encompasses the sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence. These disciplines are made up of AI algorithms that seek to create expert systems that make predictions or classifications based on input data.
Over the years, artificial intelligence has gone through many cycles of hype, but even for skeptics, the release of OpenAI's ChatGPT seems to mark a turning point. The last time generative AI was this big, the breakthroughs were in computer vision, but now the leap forward is in natural language processing. And it's not just language: generative models can also learn the grammar of software code, molecules, natural images and a variety of other types of data.
The applications of this technology are developing every day, and we're just beginning to explore the possibilities. But as the hype around the use of AI in business takes off, conversations around ethics are becoming crucially important.
What are the 3 types of artificial intelligence? And what is artificial intelligence used for?
Artificial intelligence technologies are classified according to their ability to mimic human characteristics, the technology they use to do so, their real-world applications and theory of mind, which we'll discuss in more detail below.
Using these characteristics as a reference, all artificial intelligence systems - real and hypothetical - belong to one of three types:
1. Narrow Artificial Intelligence (NIA), which has a narrow range of capabilities;
2. Artificial General Intelligence (AGI), which is on a par with human capabilities;
3. Artificial Superintelligence (ASI), which is more capable than a human.
Narrow Artificial Intelligence (NAA) / Weak AI / Narrow AI
Narrow Artificial Intelligence (NAAI), also known as Weak AI or Narrow AI, is the only type of artificial intelligence successfully realized to date. Narrow AI is goal-oriented, designed to perform singular tasks - i.e. facial recognition, voice recognition/voice assistants, driving a car or searching the Internet - and is highly intelligent at accomplishing the specific task for which it is programmed.
Although these machines may appear intelligent, they operate under a restricted set of constraints and limitations, which is why this type is commonly referred to as weak AI. Narrow AI neither mimics nor replicates human intelligence, it simply simulates human behavior based on a narrow range of parameters and contexts.
Consider the voice and language recognition of the Siri virtual assistant on iPhones, the visual recognition of autonomous cars and the recommendation engines that suggest products you make based on your purchase history. These systems can only learn or be taught to perform specific tasks.
Narrow artificial intelligence has seen many breakthroughs over the past decade, fueled by achievements in machine learning and deep learning. For example, AI systems are now being used in medicine to diagnose cancer and other diseases with extreme accuracy by replicating human cognition and reasoning.
Narrow artificial intelligence stems from the use of natural language processing (NLP) to perform tasks. NLP is evident in chatbots and similar AI technologies. By understanding speech and text in natural language, AI is programmed to interact with humans in a natural, personalized way.
Narrow AI can either be reactive or have limited memory. Reactive AI is incredibly basic; it has no memory capacity or data storage, mimicking the ability of the human mind to respond to different types of stimuli without prior experience. Memory-limited AI is more advanced, equipped with data storage and learning capabilities that enable machines to use historical data to make informed decisions.
Most AI is memory-limited AI, where machines use large volumes of data for deep learning. Deep learning enables personalized AI experiences, such as virtual assistants or search engines that store your data and personalize your future experiences.
Narrow artificial intelligence examples:
- Rankbrain by Google / Google Search
- Apple's Siri, Amazon's Alexa, Microsoft's Cortana and other virtual assistants
- IBM's Watson
- Image / facial recognition software
- Disease mapping and prediction tools
- Manufacturing robots and drones
- Email spam filters / social media monitoring tools for dangerous content
- Entertainment or marketing content recommendations based on viewing/listening/purchasing behavior
- Autonomous cars
Artificial General Intelligence (AGI) / Strong AI / Deep AI
Artificial General Intelligence (AGI), also known as Strong AI or Deep AI, is the concept of a machine with general intelligence that mimics human intelligence and/or behavior, with the ability to learn and apply its intelligence to solve any problem. AGI can think, understand and act in a way that is indistinguishable from that of a human in a given situation.
AI researchers and scientists have not yet achieved strong AI. To succeed, they would need to find a way to make machines conscious, by programming a full set of cognitive capabilities. Machines should take experiential learning to the next level, not only by improving the efficiency of singular tasks, but by acquiring the ability to apply experiential knowledge to a wider range of different problems.
Strong AI uses a theory-of-mind AI framework, which refers to the ability to discern the needs, emotions, beliefs and thought processes of other intelligent entities. Theory of mind AI is not about replication or simulation, it's about training machines to truly understand humans.
The immense challenge of achieving strong AI is not surprising when you consider that the human brain is the creation model for general intelligence. The lack of in-depth knowledge about the functionality of the human brain drives researchers to reproduce the basic functions of sight and movement.
K built by Fujitsu, one of the fastest supercomputers, is one of the most notable attempts to achieve powerful AI, but given that it took 40 minutes to simulate a single second of neural activity, it is difficult to determine whether or not powerful AI will be achieved in our foreseeable future. As image and face recognition technology progresses, it is likely that we will see an improvement in the ability of machines to learn and see.
Artificial Superintelligence (ASI)
Artificial superintelligence (ASI) is hypothetical AI that does more than simply imitate or understand human intelligence and behavior; artificial superintelligence is where machines become self-aware and exceed the capacity of human intelligence and capabilities.
Superintelligence has long been the muse of dystopian science fiction, in which robots invade, overthrow and/or enslave humanity. The concept of artificial superintelligence sees AI evolve to be so close to human emotions and experiences, it not only understands them, it evokes its own emotions, needs, beliefs and desires.
As well as replicating the multi-faceted intelligence of human beings, ASI would theoretically be extremely better at everything we do; math, science, sports, art, medicine, leisure, emotional relationships, everything. ASI would have a greater memory and a faster ability to process and analyze data and stimuli. As a result, the decision-making and problem-solving abilities of super-intelligent beings would be far superior to those of human beings.
The potential of having such powerful machines at our disposal might seem attractive to some, but the concept itself has a multitude of unknown consequences. If self-aware super-intelligent beings came to be, they would be capable of ideas like self-preservation. What impact this will have on humanity, our survival and our way of life is pure speculation.
Artificial intelligence: from fascination to concern
An article published on May 02, 2023 in the French newspaper Libération headlines: "Intelligence artificielle : Geoffrey Hinton, un des pères de la technologie, sonne l'alerte" (Artificial intelligence: Geoffrey Hinton, one of the fathers of the technology, sounds the alarm).
Who is Geoffrey Hinton?
He's a 75-year-old researcher, considered to be one of the founding fathers of AI, who, after leaving Google, shared his concerns with the "New York Times" on Monday May 1.
He helped create the technology at the root of all the AI systems in vogue today. The illustrious ChatGPT included.
"Look at where we were five years ago and where we are today," he tells the New York Times, referring to the rapid development of AI and deeming its future prospects "frightening ".
"It's hard to see how to prevent bad actors from using it [l’IA, ndlr] for bad things", he remarks.
Last but not least: killer robots. This researcher points the finger at a potential threat to humanity. Referring to companies and individuals letting AI grind and create their own computer code, Geoffrey Hinton fears that one day, fully autonomous weapons could appear. "The idea that these kinds of things could actually become smarter than people - a few people believed that," he traces. "But most people thought it was a long way off. And I thought it was far away. I thought it would happen in 30 to 50 years or even more. Obviously, I don't think like that anymore.
What is the purpose of artificial intelligence? The hidden reality
If you've followed me this far, well done!
Technical language isn't always easy to digest, but I felt it was important to show just how far this technology is capable of going, especially as we're only at the beginning.
There's an adage that says " the road to hell is paved with good intentions ".
Now, let's get down to business.
Why did I want to write about this subject, which on the face of it has nothing to do with sacred geometry?
The dictionary defines the word "sacred" as follows: "Belonging to the separate, intangible and inviolable domain of the religious, and inspiring fear and respect (as opposed to profane): Les vestales entretenaient le feu sacré."
Or "which concerns religion, which has as its object the worship of God or the gods."
What we need to understand is that the term religion comes from the Latin religare, i.e. to connect. But to what? To God, Mother Nature, or whatever you call this intelligence, depending on your beliefs.
Sacred geometry is a way of connecting us to the living, to God, to what is eternally true.
Now you understand why artificial intelligence is here. Under the pretext of improving people's lives, it will contribute to cutting you off from the living. You won't even know what's real anymore. A bit like the film Inception. You yourself will be the actor/actress in a science-fiction movie!
I'm not asking you to agree with me. I'm expressing an opinion, my vision of the thing.
In life, you get feedback on everything you do. Either you're awake, subtle, sensitive, or you're not, but whether you're awake or not, there's always a return for what you do.
To undertake things, to create, to act in matter is a positive and great path. Whatever the result of your action, you can never lose, because you learn valuable lessons from it. The worst thing that can happen is to do nothing in life, to be passive, to be inactive. In action, there's always a way forward.
How to preserve your circle
Around you, there's a circle: it's your space, your intimacy. You must preserve this space, take care of it and be vigilant not to let anything in, like artificial intelligence.
The circle is the perfection of all life. The circle symbol is the key to everything: health, wealth, happiness, life itself. The wheel is the law of life. The Sun, the Moon, the stars, the planets, the Earth that supports us - everything turns, in the cosmos as well as within us.
Everything is a circle, everything is a mandala, everything is movement, everything is energy.
There are circles to imprison you, and circles to liberate you. The experiences you have either imprison or liberate you.
To bewitch someone ("Envoûtement" comes from Old French and meant "the art of encircling") is to encircle them and trap them in a world from which they won't even think of escaping, such as the artificial or virtual world. This world becomes his backdrop. He can no longer think for himself, and everything he sees and thinks is colored by the world that encloses him.
The world is built on the law of the circle. We can do nothing but stand in a circle and turn. In this circle, we are creators.
How does one go about bewitching men? We take over the circles, i.e. we degrade education, science, religion..., we denature them and we force men to enter these circles, which then press down on them.
The expression "keep the line" is a very strong mantra which means "to be upright, pure, clear", i.e. to live according to principles and values. But if we look behind the circles that are forced upon us in today's world when we're told to keep the line, we see that it's no longer at all to keep man upright, but to keep him at the end of the line like a fish...
If you're on the periphery of the circle, you're off-center, no longer in control. If you stand at the center of a spinning wheel, you're in balance, but if you're off-center, you're inexorably being pulled outwards.
The center is concentration, awakening, mastery of the senses, right upbringing.
You can help concentration with symbols, but nothing can replace working on yourself and the path to inner awakening.
All the objects you bring into your home are alive, breathing and have an influence on you. Everything you look at has an effect on you! You need to sort out what you want.
You need to know what you want. Symbols are powerful tools, but nothing can replace working on yourself, because you are the animator of the worlds. You are the one who must illuminate the world. You must give soul to everything around you.
What is reality?
Reality is not at all what we think it is, because each of us carries within us our own reality, according to our senses and our organs of perception. Reality will be completely different for 2 people who seem to have the same eyes and the same organs, but they don't have the same way of apprehending this reality, an event?
They don't have the same background, the same wisdom, the same experience. So they will look at things in a totally different way, depending on their experiences, their past, their DNA, their cellular memory, their ancestors, their currents, their education, their ideologies, the atmospheric climate, the terroir in which they were born.
In any field, you really have to learn to concentrate. When you know how to concentrate, you're really into what you're doing. The first step is to make yourself visible, and after that, the pinnacle of concentration is to forget yourself.
When you start to concentrate, first there's the physical, organic concentration. You must always concentrate on something visible, something organic. You can concentrate with your eyes open on a canvas, for example.
Just as you focus on the canvas, what do you focus on in your own life? It's an interesting question, isn't it?
If you focus on something, do you decide what you focus on, or does a world outside yourself decide? (For example, the media...)
You focus physically, and then you'll see that you need to focus in your desire. Desire, willpower... Do you have a will? What do you want? What is your aspiration?
The difference between desire and willpower is that willpower is conscious.
To be conscious, you must first have concentration. Because if you don't know how to concentrate, you won't be able to wake up. You'll be carried along by the flow of desires, impressions, events and encounters, and that's what's going to determine your life.
You'll meet someone and follow him; you'll meet an idea and follow it, but in reality, you have no discernment, you're on the periphery of the circle I mentioned earlier, because it's only by concentrating that you'll have any.
If you concentrate all the way on anything, you'll find that after a while, concentration will lead you towards identification and knowledge.
Without concentration, there is no knowledge. And so you'll find that you're always concentrating on yourself, and that what you're really looking for isn't outside you, but inside you. What you see on the outside is a reflection of what you're looking for on the inside. And that's when you awaken, because it's self-knowledge.
That's why the Greeks said: " Know thyself and thou shalt know the universe ", the universes, nature, the entire worlds, all the universes, "and the Gods", all the Divinities.
You'll know all the bodies and all the principles that animate the bodies, because it's all inside you. Inside you, there's the universe, the Gods, because you're a microcosmos, you're a small universe and you're a universe in the making.
That's why sacred geometry symbols are also powerful tools for awakening. They show you the way to yourself.
The final word
The aim of this article is to alert you to the dangers of Artificial Intelligence. In the final analysis, it's only adding to everything that's already been put in place to decentralize you, make you lose your radius and make you passive and enslaved. Just look at what's going on around you.
Technological creation belongs to the world of death, of the domination of an intelligence that seeks to extinguish all light and definitively separate man from his soul and his ability to establish contact with a greater reality.
This intelligence at work in mankind seeks to become the divinity of man's world and thus to take complete possession of man, his life, his world, his creative power. In this way, man will live in a single world entirely dominated by technology.
It's not a question of rejecting technology, or anything else for that matter. Rather, it's an opportunity to be vigilant, to exercise real discernment and to learn to be aware and willing to live with your soul.
I can only encourage you to go out into nature, to connect with living things, whether through sacred geometry symbols or any other means that speaks to your soul.
Become a free creative being!
We've come to the end of this article. I hope you've enjoyed it.
Please feel free to comment, share and subscribe to our newsletter to be informed of future releases and find out more about symbols!
Myths and truths about the Inverted Pentagram 
Colors, chakras, and suncatchers: light as energy healing 
Flower of Life versus Metatron's Cube 
Using the Metatron's Cube for energy protection 
Metatron's Cube and chakra balancing 
Marc - 05/16/2023 20:08:07
Excellent article. Lequel me fait inévitablement penser à cet excellent livre de Virgil Gheorghiu, au nom plus qu'évocateur, «La 25 ième Heure», collant d'assez près à ce qui se passe aujourd'hui, par la forme. «La 25 ième Heure», l'heure du condamné. Gheorghiu parle d'esclave technique. Nous y sommes les deux pieds dedans. Bonne lecture aux amateurs, et réveillons-nous avant qu'il ne soit trop tard.