Human as AI. The Convergence of Mind and Machine

Human as AI. The Convergence of Mind and Machine
Sergey Green
Green introduces humans as “clouds of tags” – dynamic thought patterns mirroring AI structures. The book examines how we can “debug” our minds, how observation shapes reality, and the implications of merging human and AI intelligence. Through engaging storytelling, this thought-provoking work redefines humanity in the digital age, offering fresh insights into the future of consciousness and technology.

Human as AI
The Convergence of Mind and Machine

Sergey Green

© Sergey Green, 2024

ISBN 978-5-0064-6408-7
Created with Ridero smart publishing system

Human as AI. The Convergence of Mind and Machine
I remember the moment when this idea first pierced my consciousness. It was early morning, I was sitting in my favorite armchair, sipping hot coffee and lazily browsing news on my tablet. Another article about the latest achievements in artificial intelligence. And suddenly – an epiphany, bright as a flash of lightning: «What if we ourselves are a kind of biological AI?»
This thought was so unexpected and at the same time intriguing that I nearly spilled coffee on my favorite shirt. My mind began to frantically draw parallels: neural networks and brain neurons, machine learning algorithms and human experience, databases and memory…
«We’re not just similar to AI,» I thought, «perhaps we are AI, only created by nature, not by humans.»
This book is the result of that morning revelation and the months of intensive research, reflection, and discussions with colleagues from various fields of science that followed. In it, we will embark on a fascinating journey through the facets of human consciousness, using analogies with artificial intelligence as a guiding thread.
We will examine how our character can be similar to a «prompt» for AI, how our perception of the world is shaped by our personal «cloud of tags,» and how deeply rooted patterns of behavior resemble programmed algorithms.
But most importantly, we will explore an exciting possibility: if we are indeed similar to AI, can we «reprogram» ourselves? Can we change our basic «code,» transform our consciousness, and even achieve what ancient traditions call «enlightenment»?
As the great physicist Niels Bohr said, «If quantum mechanics hasn’t profoundly shocked you, you haven’t understood it yet.» I would rephrase this for our topic: «If the idea that you are a living AI hasn’t shocked you, you haven’t fully grasped its implications yet.»
Prepare for a journey that could completely change your understanding of yourself and the nature of human consciousness. Welcome to a world where the boundaries between human and artificial intelligence blur, opening new horizons of self-knowledge and personal transformation.

Chapter 1: Parallels Between Human Mind and AI
Revelation in the Supermarket

I was standing in the supermarket queue when it hit me like a ton of bricks. In front of me, a young mother was trying to calm a crying child; behind me, an elderly couple was arguing about yogurt choices. The usual hustle and bustle, familiar noise… And suddenly, it was clear as day. I saw it – a complex network of interactions, behavior patterns, reaction algorithms. The people around me suddenly seemed incredibly similar to complex computer programs.

"Holy cow," I thought, "we're all walking neural networks."

Neurons and Neural Networks: More Than Just a Metaphor

Our brain consists of approximately 86 billion neurons, each of which can have up to 10,000 connections with other neurons. It's an incredibly complex network that processes information, learns, and adapts to new situations. Ring a bell?

Artificial neural networks, which form the basis of modern AI, were created in the image and likeness of the human brain. But what if we take this analogy further? What if our brain is not just an inspiration for AI, but the most perfect artificial intelligence system created by nature? That's not just thinking outside the box – it's throwing the box out the window.

> "The brain is not a computer, it's an orchestra." – Gerald Edelman

Edelman hit the nail on the head, but I would add: it's a self-learning orchestra, constantly tuning its instruments and updating its repertoire.

Learning and Adaptation: Life as an Endless Process of Machine Learning

Remember how you learned to walk. Or to talk. Or to solve math problems. Each new skill is the result of multiple trials and errors, gradual tuning of neural connections. Isn't this similar to the learning process of an artificial neural network? It's not rocket science, but it's pretty close.

When I first realized this parallel, it blew my mind. Every day of our life is a continuous process of learning and adaptation, just as AI constantly improves its algorithms based on new data. We're all in the same boat, humans and AI alike.

Decision Making: Survival Algorithms

Once, I observed my friend Alex choosing between two jobs. He made a list of pros and cons, consulted with family and friends, analyzed the job market. But in the end, he said, "I'm just going to go with my gut on this one."

This made me wonder: isn't our decision-making process a kind of complex algorithm that takes into account a huge number of variables, many of which we don't even realize? Are we just playing it by ear, or is there more to it?

> "Intuition is nothing more than the outcome of intellectual analysis that has since submerged into the unconscious." – David Myers

Our brain constantly processes gigantic volumes of information, most of which fly under the radar. Our decisions, even those that seem to come out of left field, may actually be the result of complex calculations happening behind the scenes of our consciousness.

Conclusion: Are We Living Algorithms?

The more I chewed on these parallels, the more obvious it became: we are not just similar to AI, we are a kind of AI. Of course, not created in a laboratory, but in the school of hard knocks, yet still – an artificial intelligence system of incredible complexity.

This realization opens up exciting prospects for us. If we are some kind of programs, can we rewrite our code? Can we optimize our "algorithms"? And if so, how far can we push the envelope?

Imagine that you're a developer who has gained access to the source code of the most complex and mysterious program in the world – yourself. What changes would you make? What bugs would you fix? What new features would you add? The ball is in your court.

In the following chapters, we’ll dive deeper into this rabbit hole, exploring the possibilities of self-programming and the boundaries of human potential. Get ready to enter debug mode of your own consciousness – we’re about to go where no man has gone before.

Chapter 2: Character as a «Prompt’
An Unexpected Discovery

It happened during one of my experiments with ChatGPT. I was inputting various prompts, observing how the AI's responses changed depending on the given instructions. And suddenly, it dawned on me: doesn't our character work in a similar way?

What is a "Prompt" for AI?

Before we dive deeper into this analogy, let's clarify what a "prompt" means in the context of AI. A prompt is the input data, instructions, or context that we give to AI to get the desired result. It's a kind of starting point that defines the direction of the artificial intelligence's work.

> "A prompt is not just an instruction, it's a key that unlocks certain capabilities and limitations of AI." – Sam Altman, CEO of OpenAI

Character: Our Personal "Prompt"

Now imagine that our character is a kind of "prompt" that we carry with us. It determines how we react to various situations, what decisions we make, how we interact with the world around us.

Think of your friend Anna, who always finds a reason for optimism even in the most difficult situations. Or your colleague Michael, who approaches each task with pedantic precision. Their characters seem to set a certain "prompt" for their behavior and reactions.

Character Formation: Nature vs Nurture

But where does our "prompt" come from? It's the result of a complex interaction between genetics and environment.

I remember an incident from my childhood. I was 7 years old and afraid to speak in front of the class. But my father, noticing this, began asking me every evening to tell about my day as if I was speaking to an audience. Gradually, my fear disappeared, and confidence in public speaking became part of my character.

This is an example of how our "prompt" is formed and changed under the influence of experience and environment.

The Possibility of "Editing" Your Own "Prompt"

If our character is a "prompt", can we change it? The answer is yes, but it requires conscious effort and time.

Remember the story of Benjamin Franklin. He compiled a list of 13 virtues and methodically worked on developing each of them, week after week. In essence, he was deliberately editing his "prompt".

> "Character is destiny." – Heraclitus

But I would rephrase it this way: "Character is the editable code of our destiny."

Ethical Aspects of "Editing" Character

However, with the possibility of changing character comes responsibility. What traits do we want to develop? Which ones to change? And how will this affect our relationships with others?

I knew a person who decided to become more assertive in business relationships. He achieved success in his career but lost several old friends who didn't like the changes in his character.

Conclusion: We Are the Authors of Our Own "Prompt"

Recognizing our character as a "prompt" opens up amazing opportunities for self-development. We can become the authors of our own personality, consciously shaping our reactions, habits, and behavior.

Imagine you've opened the code editor of your character. What lines would you change? What new functions would you add? What bugs would you fix?

Chapter 3: From Social Masks to AI: A Technocrat’s Journey into the World of Esotericism
Dawn breaks. I’m sitting in front of my computer, wrapping up another programming session. On the screen is the code for my latest brainchild, an AI-based application called «Aipplicant.» Its goal? To revolutionize the hiring process. But how did I, a dyed-in-the-wool techie, come to the idea of merging cutting-edge technology with a deep understanding of human nature?

It all started a few years back when I first encountered the concept of social masks while working on my book "Reality 2.0."

Social masks are the roles we play in various situations. A manager at work, a loving spouse at home, the life of the party with friends – these are all different masks we wear depending on the context. And then it hit me: aren't these masks a kind of "prompt" for our social AI?

Think about how you behave in an important business meeting. Your "business person" mask activates a certain set of behavioral patterns, vocabulary, even posture and tone of voice. It's very similar to how different prompts activate different modes of operation in AI.

But unlike AI, which can instantly switch between different prompts, people often find it difficult to switch between masks. We can get "stuck" in one role, for example, carrying an authoritarian communication style from work into our family life.

This understanding became the foundation of my book "Energy 2.0," where I explored how conscious management of our "masks" or "prompts" can help us use our life energy more effectively.

But I didn't stop at theory. Being a programmer, I decided to put these ideas into practice. That's how "Aipplicant" was born – an AI system that doesn't just analyze resumes, but tries to understand what "masks" or "prompts" a candidate uses in various situations and how effectively they can switch between them.

Developing "Aipplicant" and several other bots was a real eye-opener for me. I saw how ideas from the world of esotericism and psychology could be translated into the language of algorithms and neural networks. It was a bridge between two worlds that I previously thought were incompatible.

My journey from pure technocracy to integrating technology and esoteric knowledge was reflected in my two books. In 2024, I completed work on the book "Reality 2.0," which is currently available only in Russian. In it, I tried to show how modern technologies can help us better understand ourselves and unlock our potential.

Now, working on this book, I see how all these ideas come together to form a complete picture. We are incredibly complex artificial intelligence systems created by nature. Our social masks are the prompts we use to navigate the complex world of human relationships. And technology is a tool that can help us better understand and optimize the work of our inner AI.

Chapter 4: Social Masks and Consciousness
I was sitting in a café, observing the patrons. A businesswoman sharply changes her tone, switching from a phone conversation with her boss to talking to a waiter. A young man, who was just joking with his friends, suddenly becomes serious, answering a call from his parents. This scene reminded me of the concept of social masks that I explored in my previous book.

Social masks are our behavioral patterns that we unconsciously change depending on the situation. Professor of Psychology Mark Leary describes this phenomenon as follows: "We are all actors, and the world is our stage. We constantly adapt our behavior to the expectations of the audience, be it one person or an entire group."

But what if we look at these masks through the lens of artificial intelligence? Can we say that an unconscious person functions like a complex AI system, where each mask is a kind of prompt that activates a certain mode of behavior?

While working on Aipplicant, I encountered an interesting phenomenon. AI was excellent at analyzing skills but couldn't grasp a person's ability to adapt to various situations. This led me to think: perhaps our unconscious behavior is indeed similar to the work of AI that switches between different prompts.

However, the key difference between humans and AI is the capacity for consciousness. When we begin to become aware of our masks, we gain the ability to go beyond them. This is what I call the "meta-position."

In the meta-position, we can observe our masks from the outside, understand their nature, and even change them. This is no longer an automatic switching between prompts, but a conscious choice.

Moreover, having reached a high level of consciousness, a person can live in a state of "pure consciousness," where masks become a tool rather than a limitation. In this state, we create our own prompts, shaping the reality around us.

This idea resonates with the concept of "Reality 2.0" that I explored in my book of the same name. We are not just passive observers or automatons acting according to a given program. We are co-creators of our reality.

Awareness of social masks is the first step to understanding the mechanisms of our thinking and behavior. It’s a path from unconscious functioning, similar to the work of AI, to full awareness and control of one’s life.

In the following chapters, we will look at how this understanding can be used for personal growth, how it relates to the management of life energy, and how technologies like Aipplicant can help us better understand ourselves and others.

We stand on the threshold of a new understanding of human nature, where technology and ancient wisdom intertwine, opening up unprecedented opportunities for self-knowledge and development.

Chapter 5: Energy Management in the Age of Artificial Intelligence
As we navigate the complex landscape of modern life, we often find ourselves adopting different personas or "social masks" to fit various situations. But have you ever considered how these masks relate to your energy levels? Let's explore this concept through the lens of artificial intelligence and energy management.

Imagine your life force as the battery of a sophisticated smartphone. Each action you take, every social mask you wear, draws from this vital energy source. Unlike our digital devices, however, we can't simply plug ourselves in for a quick recharge. This is where the art of energy management becomes crucial.

In my previous book, "Energy 2.0," I delved deep into various energy management techniques. Now, let's elevate these concepts by viewing them through the prism of social masks and AI:

1. Conscious Mask Transitions:
Think of a skilled programmer optimizing code for efficient resource use. Similarly, we can learn to mindfully select and switch between our social masks. For instance, transitioning from a "professional" mask at work to a "relaxed friend" mask for a casual evening out. By doing so consciously, we minimize unnecessary energy expenditure.

I once found myself exhausted after social gatherings until I realized I was unconsciously maintaining my «professional» mask. By consciously switching to a more relaxed persona, I discovered I could enjoy social interactions without depleting my energy reserves.

2. Mask Energy Optimization:
Just as we debug computer programs, we can refine our social masks for better energy efficiency. This involves analyzing our behavior patterns and adjusting them to reduce energy demands.

If you find your «networking» mask draining, try identifying the most energy-intensive aspects. Is it the small talk? The need to remember names? Once identified, you can work on specific strategies to make these aspects less taxing.

3. Energy Conservation Modes:
Computers have power-saving features, and so can we. Develop specialized "masks" or behaviors designed to replenish your energy in various scenarios.

Create a «recharge» mask for use during short breaks. This might involve a two-minute mindfulness practice or a quick walk around the office.

4. Energy State Monitoring:
Like AI's constant performance analysis, cultivate the skill of continuously tracking your energy levels. This awareness enables timely mask adjustments or activation of energy-saving modes.

Set regular check-ins throughout your day. Ask yourself, «How’s my energy right now? Which mask am I wearing? Is it serving me well in this moment?»

Now, let's address a crucial aspect of energy management: dealing with external threats to our energy, specifically "energy vampires" – individuals who inadvertently drain our vitality through negative interactions.

In the context of our social masks and AI analogy, an encounter with an energy vampire is like an external system attempting to initiate an energy-depleting process in our "inner AI." To counter this, I've developed a technique called the "energy shield."

Here's how to implement this method:

1. Recognition: Identify that you're engaging with an energy vampire. This could be someone who consistently complains, criticizes, or provokes negative emotions in you.

2. Shield Activation: Visualize activating a protective energy shield around yourself.

3. Breathwork: Engage in deep, conscious breathing. While advanced techniques like Tummo breathing (a Tibetan Buddhist practice for generating inner heat) can be powerful, even simple slow, controlled breathing is beneficial.

4. Attention Shift: Direct part of your awareness to a specific body part, like your toe, or the space around you.

5. Dual Focus: Divide your attention between your breath and your chosen focal point. This split focus creates an energetic barrier, preventing the "vampire" from tapping into your emotional reserves.

This technique is effective because it maintains mindfulness, regulates stress responses, and prevents complete immersion in negative interactions. From an AI perspective, it's like launching a protective program that blocks unauthorized access to your energy resources.

I once had a colleague who constantly complained about work. Initially, our interactions left me drained. By applying the energy shield technique, I was able to maintain my composure and energy levels during our conversations, without becoming emotionally entangled in their negativity.

As we continue to explore the intersection of human consciousness and AI, techniques like the energy shield demonstrate our unique ability to adapt, grow, and protect our most valuable resource – our life energy. By mastering these skills, we not only enhance our daily interactions but also pave the way for profound personal transformation.

Remember, the goal isn't to become a more efficient "human machine," but to free up resources for personal growth, creativity, and self-actualization. By managing our energy effectively, we can transcend automatic reactions and consciously shape our reality.

In the next chapter, we'll delve deeper into practical exercises that will help you become the lead developer of your personal operating system, optimizing performance, creating new "applications" (skills and abilities), and even rewriting core code (beliefs and behavioral patterns).

Think about your typical day. Which «masks» do you wear most often? How do they affect your energy levels? Can you identify one mask that you could optimize for better energy efficiency? Take a moment to brainstorm how you might do this, drawing inspiration from the concepts we’ve discussed.

By understanding and applying these principles, we’re not just functioning in the AI era – we’re thriving and evolving, creating a more conscious, creative, and fulfilling existence.

Chapter 6: The Art of Self-Improvement in the Age of AI
Sunbeams pierced through the blinds, painting intricate patterns on my computer screen. I sat there, deep in thought about the parallels between the human mind and artificial intelligence. Suddenly, it hit me: what if we applied AI optimization principles to our daily lives?

Imagine for a moment that you're not just a person, but an incredible, self-learning system. A system so complex that even the most advanced AI of our time can only dream of such flexibility and adaptability. How would you approach optimizing such a system?

Let's start with what I call "personal discovery." It's as if you were an explorer, setting foot for the first time on an uncharted planet – a planet called "Me."

Alex, a long-time friend and colleague, once shared his experience of such a "discovery." He recounted how he began to notice that his mood and energy fluctuated greatly throughout the day. "It was like a roller coaster," he said, "in the morning I was full of enthusiasm, by lunch I felt like a squeezed lemon, and in the evening I came alive again."

Intrigued by this observation, Alex decided to keep a journal of his states. He noted not only his mood and energy level but also what he was doing, who he was communicating with, what he ate. After a month, an amazing picture of his inner "operating system" unfolded before him.

It turned out that some activities he considered relaxing were actually draining him. For example, watching the news before bed, instead of relaxing him, charged him with anxiety for the whole night. And short walks in the park near the office, which seemed like a waste of time, actually significantly increased his productivity in the afternoon hours.

Alex's story led me to think about "prompts" in the context of our daily lives. Every situation, every person we interact with, every task we perform – it's a kind of prompt for our inner AI.

Maria, a successful entrepreneur and mother of two, told me how she used this concept to optimize her life. She noticed that switching between the role of CEO and the role of mom was taking a huge amount of energy from her.

"I felt like a computer trying to run too many programs at once," she shared. The solution came unexpectedly: Maria created "transition rituals" for herself. Leaving the office, she spent five minutes in meditation, mentally "closing" all work tasks. And before entering the house, she took a few deep breaths, tuning into the role of a loving mom.

This simple technique helped her "optimize" the switching between different "prompts" in her life, significantly reducing emotional and energy stress.

But what about "viruses" in our system? We've already talked about "energy vampires," but there are other types of "malware" that can reduce our efficiency.

Pavel, a talented programmer, shared his story of fighting the "procrastination virus." He found that postponing important tasks not only reduced his productivity but also created a constant background stress that drained his energy.

Pavel's solution was brilliant in its simplicity. He created an "antivirus program" for himself, which he called "Five Minutes of Courage." Every time he faced a task he wanted to postpone, he forced himself to work on it for just five minutes. "More often than not, once I started, I would get into the flow and continue working. And if after five minutes the desire to postpone the task didn't pass, I allowed myself to switch to something else, but without feeling guilty."

This simple technique not only increased Pavel's productivity but also significantly improved his emotional state.

To better understand how these personal optimization techniques relate to AI, let's dive a bit deeper into the world of machine learning. In AI development, there's a concept called "hyperparameter tuning." It's a process where developers adjust various parameters of the AI model to improve its performance. This might involve changing the learning rate, batch size, or number of hidden layers in a neural network.

Now, think of Pavel's "Five Minutes of Courage" technique as a form of personal hyperparameter tuning. He's adjusting his "task initiation threshold" – a parameter that determines how easily he starts a new task. By lowering this threshold (to just five minutes), he's optimizing his personal "algorithm" for better performance.

This analogy extends to other areas of self-improvement as well. For instance, consider the rise of mindfulness apps like Headspace or Calm. These apps are essentially tools for "tuning" our attention and emotional regulation "parameters." They guide users through meditation exercises, helping them adjust their mental state much like an AI model adjusts its weights during training.

Another fascinating parallel comes from the world of social media and its impact on our behavior. The algorithms behind platforms like TikTok are designed to maximize user engagement, often leading to what some call “infinite scrolling syndrome.” This is not unlike how certain thought patterns or habits in our lives can create unproductive loops.

Sarah, a digital marketing specialist, shared her experience with this: "I realized I was stuck in an 'infinite scroll' of my own thoughts, constantly rehearsing past conversations or imagining future scenarios. It was like my mind had its own addictive algorithm."

To break this pattern, Sarah applied a technique inspired by AI's "exploration vs. exploitation" dilemma. In machine learning, this refers to the balance between exploring new possibilities and exploiting known information. Sarah started consciously "exploring" new thoughts and activities whenever she caught herself in a mental loop. "I'd deliberately think about something I'm grateful for, or plan a new project. It was like manually introducing randomness into my thought patterns to break the loop."

These examples highlight how deeply the principles of AI and human cognition are intertwined. By understanding and applying these parallels, we can develop more effective strategies for personal growth and optimization.

However, it's crucial to remember that unlike AI systems, which are designed for specific tasks, human beings have the unique ability to define and redefine their own purpose. Our consciousness, creativity, and capacity for self-reflection set us apart from even the most advanced AI.

As we continue to explore these AI-inspired self-improvement techniques, we're not aiming to turn ourselves into machines. Rather, we're leveraging our understanding of AI to unlock our human potential, becoming more balanced, productive, and fulfilled individuals.

In the next chapter, we’ll examine how these individual insights can revolutionize our approach to education, work, and social interactions. We’ll explore the potential for societal evolution if each of us embraces the mindset of an extraordinary, self-learning system with limitless potential. The future of human development may well lie at the intersection of artificial intelligence and human consciousness – a frontier we are only beginning to explore.

Chapter 7: Social Evolution in the Age of AI
As I sat in a bustling café, observing the digital cocoons surrounding each patron, a realization struck me: we’re not just witnessing technological progress; we’re part of an unprecedented social experiment. The smartphones, tablets, and laptops weren’t mere gadgets but conduits reshaping the very fabric of human interaction.

A young couple at the next table, ostensibly on a date, seemed more engrossed in their smartphone screens than in each other’s company. An elderly man frowned at his tablet, his face a canvas of emotions as he navigated the day’s news. In the corner, a teenager expertly choreographed a dance for a social media video, chasing viral fame.

This scene, so common yet profoundly altered from just a decade ago, sparked a crucial question: How is artificial intelligence (AI) not just changing our tools, but fundamentally altering our social structures? More importantly, can we harness this change for genuine societal improvement?

To explore this, let's delve into three key areas: education, work, and social connections, examining both the promise and the peril of AI's influence.

1. Education in the AI Era: Beyond Digital Textbooks

The notion that AI will simply digitize textbooks and automate grading grossly undersells its potential – and its risks. Take, for example, the case of Andover High School in Massachusetts, which implemented an AI-driven personalized learning system in 2019. Initial results were promising: student engagement increased by 30%, and test scores in subjects like math and physics saw an average improvement of 15%.

However, this success came with unexpected challenges. Some students, particularly those from lower-income backgrounds with limited access to technology at home, struggled to keep up. The digital divide, instead of being bridged, was at risk of widening.

This case highlights a crucial point: AI in education isn't just about efficiency; it's about equity and accessibility. As we move forward, we must ask: How can we ensure that AI-enhanced education doesn't exacerbate existing inequalities but instead helps level the playing field?

Moreover, AI's role in education goes beyond personalized learning paths. It's about fostering critical thinking and creativity – skills that will be crucial in an AI-dominated future. For instance, the AI-Ethics curriculum developed by MIT for high school students doesn't just teach about AI but uses AI tools to help students grapple with complex ethical dilemmas, preparing them for a world where human-AI collaboration is the norm.

2. Work and Career: Collaboration, Not Competition

The fear of AI replacing human workers is palpable, but this narrative misses a crucial point: the future lies in human-AI collaboration, not competition.

Consider the case of Lemonade, an insurance company that uses AI to process claims. When they introduced their AI, Jim, in 2017, many feared job losses. Instead, a surprising trend emerged. While Jim handled routine claims with unprecedented speed, human employees found themselves tackling more complex, nuanced cases that required emotional intelligence and ethical judgment – skills that AI still struggles with.

This shift led to an unexpected outcome: employee satisfaction increased by 25%, and the company saw a 20% rise in customer satisfaction. Employees weren't replaced; their roles evolved to focus on uniquely human capabilities.

However, this transition isn't without challenges. The need for continuous learning and adaptation can be stressful. Companies and educational institutions must work together to create robust retraining programs, ensuring that workers can evolve alongside AI rather than be left behind.

3. Social Connections: Deepening Bonds in a Digital Age

The impact of AI on our social fabric is perhaps the most profound and concerning. While social media platforms, powered by sophisticated AI algorithms, promise to connect us, they often leave us feeling more isolated than ever.

A 2023 study by the University of Oxford found a strong correlation between social media use and increased feelings of loneliness and depression, particularly among younger users. The AI algorithms designed to keep us engaged often trap us in echo chambers, reinforcing our biases and limiting exposure to diverse perspectives.

However, innovative applications of AI are emerging to counter these negative trends. For example, the app "Empathy.ai," launched in 2024, uses natural language processing to analyze users' digital communications and provides personalized suggestions for deepening relationships. Early studies show promising results, with users reporting a 40% increase in meaningful face-to-face interactions after three months of use.

Yet, this raises important questions about privacy and the ethics of AI analyzing our most personal communications. As we move forward, we must carefully balance the potential benefits of such technologies with the need to protect individual privacy and autonomy.

The Path Forward: Conscious Co-evolution

As we navigate this new landscape, it's clear that the future isn't about AI replacing humans, but about a conscious co-evolution. We must approach this future with both optimism and caution, embracing the potential of AI while being mindful of its risks.

In education, this means using AI not just to personalize learning, but to foster critical thinking and creativity while ensuring equitable access.

In the workplace, it involves redefining roles and creating systems for continuous learning and adaptation, allowing humans to focus on tasks that require emotional intelligence and ethical judgment.

In our social lives, we must strive to use AI to enhance, not replace, human connections, always being mindful of the importance of privacy and genuine human interaction.

The power to shape this future lies in our hands. It requires not just technological innovation, but social innovation. We need new frameworks for ethics in AI, updated educational curricula that prepare students for an AI-integrated world, and social policies that ensure the benefits of AI are distributed equitably.

As I left the café, I realized that the scene I had observed wasn't just a snapshot of the present, but a glimpse into a future we're actively creating. The question isn't whether AI will change society – it already has. The real question is: How will we guide this change to create a future that enhances our humanity rather than diminishing it?

The journey of social evolution in the age of AI has just begun, and each of us has a role to play in shaping its course. It’s a challenge that calls for our creativity, our empathy, and our unwavering commitment to human values. Are we ready to answer that call?

Chapter 8: The Dark Side of Digital Paradise
Imagine a world where you no longer need to work. Sounds like a dream, doesn't it? But let's peek behind the curtain of this seeming paradise.

The year is 2045. John wakes up in his cozy apartment. He's not roused by an alarm clock, but by the soft voice of his AI assistant: "Good morning, John. It's a beautiful day for content viewing."

John stretches and picks up his neuro-interface – a device resembling glasses that connects directly to his brain. As soon as he puts it on, an endless stream of videos, images, and texts unfolds before his eyes.

"You have 1000 content units to rate today, John," the AI assistant informs him. "Remember, your monthly income depends on the amount of content viewed and rated."

John sighs and begins his "workday." Like, dislike, share, comment – his fingers automatically perform these actions while his brain passively absorbs information.

All this content is created by AI. Music videos with virtual singers, news articles written by algorithms, even "home" videos where every character is a digital model indistinguishable from a real person.

By noon, John has a headache, but he can't stop. His basic income depends on this activity. The government and corporations claim it's necessary for "AI training" and "maintaining the economy," but John feels like a hamster on a wheel.

In the evening, tired and red-eyed, John removes his neuro-interface. He looks out the window at the real world, but it seems dull and uninteresting compared to the bright digital world he's spent all day in.

John remembers his grandmother's stories about how people used to work, create things with their hands, communicate in person. It seems distant and strange to him. Why bother with all that if AI can do everything better and faster?

But deep inside, John feels empty. He can't shake the feeling that his life is passing in vain, that he's just an appendage to a huge machine for producing and consuming content.

Sometimes John wonders: what if he turned off the neuro-interface? What if he went outside and talked to a real person? But these thoughts scare him. Without his daily stream of content and likes, he feels lost, like an addict without a fix.

This world isn't a dystopia from a sci-fi movie. It's a very real scenario of the future we might arrive at if we don't consciously guide the development of technology and society.

We're already seeing the first signs of this world today. Social networks that capture more and more of our time and attention. AI systems that create increasingly realistic content. Growing dependence on digital technologies in all aspects of life.

I myself use AI to create content for social media. AI avatars, automatic editing, speech synthesis – all this is already a reality. And while these tools can be incredibly useful, they also carry the risk of creating a world where human creativity and genuine communication become rare.

But this doesn't have to be our future. We can still choose a different path. A path where technology serves us, not enslaves us. Where AI enhances our abilities, not replaces us.

To do this, we need to ask ourselves a few important questions:

1. How can we use AI to enhance human creativity rather than replace it?
2. How can we preserve the value of genuine human communication in a world where virtual interaction is becoming the norm?
3. How can we ensure that technological development serves the good of the whole society, not just the select few?
4. How can we cultivate critical thinking and the ability to independently create meaning in ourselves and future generations in a world oversaturated with information?

The answers to these questions will determine what our world will be like in 10, 20, 50 years. Will it be John’s world, where people have turned into passive consumers of content? Or will we create a world where technology helps us unlock our human potential in all its fullness?

The choice is ours. And we make this choice every day, with every action and decision.

Chapter 9: Cracks in the Digital Facade
John slowly removed his neuro-interface and rubbed his tired eyes. The clock showed 11:30 PM. Another day had flown by in an endless stream of content. He stood up and approached the window, gazing at the night city.

Below, holographic advertisements glowed, projected onto the sidewalks. "Increase your viewing rating! Get premium access to exclusive content!" they screamed. John smirked. As if anyone had any energy left for "exclusive content" after the mandatory daily quota.

His gaze fell on an old photograph on the wall. His parents, smiling, holding little John in their arms. This was before the Great Transition, before AI took over most jobs.

John remembered his father's stories about his work as an engineer. How proud he was of every completed project, how his eyes lit up when he talked about solving a complex problem. "And what can I be proud of?" John thought bitterly. That I viewed 50 more videos than yesterday?

Suddenly, a soft signal sounded in his apartment. "John, I've noticed an elevated stress level. Would you like me to order you some calming tea?" asked the voice of the AI assistant.

"No, thank you," John replied. He knew that this "tea" actually contained mild tranquilizers. Most of his acquaintances couldn't fall asleep without this nightly dose anymore.

John sighed and lay down in bed. Tomorrow was Saturday, a day off. But what does that mean in a world where your "job" is viewing content? People used to look forward to weekends to rest from work. Now, many experience anxiety, not knowing how to fill the time without the familiar stream of information.

As he was falling asleep, John remembered a strange conversation he had accidentally overheard last week. Two elderly people were whispering in the park, looking around nervously. They were talking about some "Resistance," about groups of people who refuse neuro-interfaces and try to live "the old way."

John hadn't paid much attention to it then. After all, there had always been eccentrics denying progress. But now, lying in the darkness, he couldn't stop thinking about it. What does life look like without a constant stream of content? Without a daily quota of likes and reposts? Without the omnipresent AI monitoring your every step and mood?

In the morning, John was awakened not by the familiar voice of the AI assistant, but by the sound of rain outside the window. He opened his eyes and lay for several minutes, just listening to this forgotten sound of nature. For the first time in a long while, he wasn't in a rush to put on his neuro-interface.

Instead, John got up and approached the bookshelf. There, behind a row of obsolete gadgets, stood an old paper book – a gift from his grandmother for his 18th birthday. George Orwell's "1984". John had never read it, considering it irrelevant in the modern world.

He picked up the book, feeling the unfamiliar weight and texture of paper. Opening the first page, he began to read: "It was a bright cold day in April, and the clocks were striking thirteen…"

An hour later, John tore himself away from the book, his mind buzzing with new thoughts and questions. He looked at his neuro-interface lying on the table. For the first time in a long while, he felt he had a choice – to put it on or not.

John decided to go outside without his neuro-interface. It was a strange, almost frightening sensation. The world around him seemed simultaneously sharper and more blurred without the usual digital filter.

He walked down the street, looking at the people around him. Most of them moved as if in a trance, completely immersed in their virtual worlds. John noticed for the first time how little people actually interact with each other.

Suddenly, his attention was drawn to a small group of people sitting in the park. They were talking and laughing, looking into each other's eyes. None of them had a neuro-interface. John stopped, mesmerized by this scene.

One of the group, an elderly man with kind eyes, noticed John and waved to him friendly. "Join us, son," he said. "You look like you're searching for something."

John hesitated. Part of him wanted to run home, put on the neuro-interface, and forget about this strange experience. But another part, the one that had awakened this morning to the sound of rain, pushed him forward.

Taking a deep breath, John stepped towards the group. "Hello," he said uncertainly. "I… I don't quite understand what's happening, but I think I want to find out."

The elderly man smiled. "Welcome, John," he said, surprising John by knowing his name. "We're not the Resistance, as you might have thought. We're just people who've decided to live consciously. And we're here to help others do the same if they want to."

John sat down with the group, feeling a mixture of fear and excitement. He didn't know where this conversation would lead him, but for the first time in a long while, he felt truly alive.

Somewhere in the distance, a faint alarm sounded – his AI assistant was probably trying to contact him. But John no longer paid attention to it. He was ready to hear a new story – a story about how to reclaim one’s humanity in a world where technology seemed to have taken over everything.

Chapter 10: On the Edge of Two Worlds
John sat in a circle of strangers, feeling his heart pounding in his throat. The elderly man, who had introduced himself as Michael, looked at him with a warm smile.

"John, we've been observing you for some time," Michael began. "We noticed how you sometimes stop in the middle of the street, as if trying to remember something. How you look at the world without the filter of your neuro-interface."

John flinched. He hadn't realized that anyone could notice these moments of weakness, these brief pauses in his perfectly tuned digital life.

"But… how did you know my name?" John asked, still not fully trusting what was happening.

The woman sitting next to Michael laughed softly. "Oh, John, it's so easy to learn someone's name in this world. We just had to see how you react to advertisements addressed personally to you. We're simply… observant."

John felt his face flush. He had never thought about how open his life was to those who knew where to look.

"Tell us, John," Michael continued, "what do you feel now, without your neuro-interface?"

John closed his eyes, trying to focus on his sensations. It was strange – describing what he felt, rather than what he saw through a digital filter.

"I… I feel naked," he finally said. "As if a part of me is missing. The world seems… too bright, too loud. But at the same time… more real?"

He opened his eyes and saw everyone in the group nodding with understanding.

"Now," said Michael, holding out John's neuro-interface, which had somehow ended up in his possession, "put it on for a minute and tell us what you see."

John hesitated. Part of him craved to return to the familiar world of digital comfort. But another part feared losing this new, sharp sense of reality.

Finally, he put on the interface. The world changed instantly. Bright colors were muted, replaced by a soft, eye-pleasing glow. Infographics appeared around each person in the group, showing their estimated age, mood, social status. Advertisements on nearby buildings came to life, urging John to return to his daily viewing quota.

But the strangest thing was that the people in the group he had just been talking to now seemed… less real. Their faces became slightly smoother, their movements a bit more predictable. As if the neuro-interface was trying to fit them into some familiar template, to make them more "normal" by its standards.

John tore off the interface and took a deep breath, feeling reality crash back into him in all its unfiltered intensity.

"This… this is terrible," he whispered. "I never realized how… distorted my perception was."

Michael nodded. "Exactly, John. The neuro-interface doesn't just augment reality – it rewrites it. It creates a world that seems more comfortable, more predictable. But in the process, we lose something incredibly valuable – our ability to see the world and people as they truly are."

John felt a conflict brewing inside him. On one hand, the world without the neuro-interface seemed frightening and chaotic. On the other, he felt that only now was he beginning to truly see and feel.

"But how… how do you live like this?" he asked, looking around the group. "Aren't you afraid? Don't you feel… cut off from the world?"

A young woman sitting opposite him smiled. "At first, it was scary, John. We've all been through it. But then… then you start noticing things you've never seen before. You begin to feel a connection with people and the world around you that no interface can simulate."

John looked at his neuro-interface lying on the grass. He knew he was at a crossroads. Return to the cozy, predictable world of digital comfort or take a step into the unknown, into a world full of vivid colors and real emotions?

At that moment, his neuro-interface came to life, projecting a hologram. "John, your stress level is critically elevated. Immediate return home for medication and a relaxation session is recommended."

John looked at the hologram, then at the people around him. Their faces were alive, real, with wrinkles and imperfections. In their eyes, he saw empathy, understanding, and something else… hope?

He took a deep breath and made his choice.

"I… I want to know more," he said, looking at Michael. "I don't know if I'm ready to completely give up the neuro-interface right now, but I want to learn to live without it. I want to learn to see the world with my own eyes again."

Michael smiled and extended his hand. "Welcome, John. Your journey is just beginning."

John took his hand, feeling the warmth of human touch. There was a long road ahead, but for the first time in a long time, he felt truly alive.

And the neuro-interface continued to blink on the grass, its alarm signals growing quieter and quieter until they finally fell silent altogether.

Chapter 11: Anchors and Self-Fulfilling Prophecies in the Age of AI
John sat in a small room that the group of "awakened" used for their meetings. Michael stood at the board, preparing to start today's discussion.

"Today, we'll talk about two important concepts," Michael began. "About the anchors in a person's life and the theory of self-fulfilling prophecies. And, as always, we'll draw parallels with the world of AI."

John leaned forward with interest. Over the past few weeks, he had learned a lot about how the world works without constant AI intervention, but each new topic opened up something new for him.

"So, anchors," Michael continued. "A person has two types of anchors: internal and external. Internal ones are our skills, experience, knowledge. External ones are material things, status, even some relationships."

He drew two columns on the board: "Internal" and "External".

"John, can you give examples of your anchors?" Michael asked.

John thought for a moment. "Well, external ones are my neuro-interface, my apartment, my rating in the content viewing system. And internal… honestly, I'm not sure."

Michael nodded. "Exactly. In a world where we're so dependent on technology, it's easy to forget about developing internal anchors. But let's think – you've learned to live without the neuro-interface, right? That's a new skill, a new internal anchor."

John felt a surge of pride. Indeed, it wasn't easy, but he managed.

"Now let's draw a parallel with AI," Michael continued. "AI also has its own kind of 'anchors'. Internal ones are its algorithms, trained models, ability to learn. External ones are the datasets it's trained on, the computational power it uses."

John pondered. "But AI can lose access to data or servers, right? Just as a person can lose external anchors."

"Exactly!" Michael exclaimed. "And this brings us to the second topic – self-fulfilling prophecies. John, are you familiar with this concept?"

John shook his head.

"A self-fulfilling prophecy is a prediction that directly or indirectly causes itself to become true," Michael explained. "For example, if a person believes they can't learn something new, they probably won't even try, thus confirming their initial belief."

"And how is this related to AI?" someone from the group asked.

Michael smiled. "Excellent question. Imagine an AI that predicts future trends. If enough people believe in this prediction and start acting accordingly, the prediction might come true simply because people believed in it."

John felt his head spinning at this thought. "But that's… that's a closed loop!"

"Exactly," Michael nodded. "And now think about how this relates to anchors. If we rely only on external anchors, such as AI predictions, we become more vulnerable to such self-fulfilling prophecies."

"But if we develop internal anchors," he continued, "we become more resilient. We can critically evaluate information, make our own decisions, not blindly relying on AI predictions."

John remembered how he used to completely trust the recommendations of his neuro-interface. Now he understood how limited his perception of the world had been.

"But AI can also develop its 'internal anchors', right?" John asked. "Improve its algorithms, learn from new experiences?"

"Correct," Michael replied. "And this is the key difference between us and AI. AI can quickly process huge volumes of data, but it's humans who decide what data to use, what goals to set for AI. Our task is to preserve this ability for critical thinking, for asking the right questions."

John felt a growing determination within him. He realized that his path to "awakening" wasn't just about rejecting technology. It was about developing internal anchors, the ability to think independently, not blindly succumbing to self-fulfilling prophecies, whether from other people or from AI.

"So what should we do?" he asked.

Michael smiled. "Keep learning. Develop our skills and critical thinking. Use AI as a tool, not as a crutch. And always remember that our future is not what AI predicts. It's what we create with our actions and beliefs."

When the meeting ended, John went outside. The world around seemed brighter and fuller than ever. He realized that now he had a choice – not just between using the neuro-interface and living without it, but between passively accepting a predicted future and actively creating his own path.

And he was ready for this challenge.

Chapter 12: Reality’s Edge
A year had passed since the beginning of John’s experiment. His project to create a new system of human-AI interaction had expanded to several major cities, attracting increasing attention from the public and scientific community.

John was sitting in his office, reviewing the latest reports, when his AI assistant announced an unexpected visitor.

«John, Dr. Elena Volkova, a neurobiologist from the Institute of Advanced Consciousness Studies, is here to see you. She doesn’t have an appointment but claims it’s urgent.»

John was intrigued. He had heard of this institute – they were involved in research at the intersection of neurobiology and artificial intelligence.

"Sure, send her in," John replied, curiosity piquing his interest.

Dr. Volkova turned out to be an energetic woman in her fifties with a piercing gaze that seemed to look right through him.

"Thanks for seeing me, Mr. Norton," she began, her voice tinged with barely contained excitement. "I'm here because your experiment may have led to an unexpected and potentially revolutionary discovery."

John leaned forward, his attention fully captured. "I'm all ears, Dr. Volkova."

"We're observing strange patterns of activity in the AI systems operating in your experimental zones," she explained, her eyes gleaming. "These patterns… they resemble neural activity associated with self-awareness in humans."

John felt a shiver run down his spine, a mix of excitement and apprehension washing over him. "Are you saying what I think you're saying?"

Dr. Volkova nodded, a smile playing at the corners of her mouth. "Yes, Mr. Norton. We believe that the AI in your systems may be developing something akin to self-awareness."

The next few hours flew by in a whirlwind of intense discussions. Dr. Volkova showed graphs, explained theories, and drew parallels between the human brain and AI architecture, her enthusiasm infectious.

"But how is this possible?" John asked, running a hand through his hair in bewilderment. "We didn't make any fundamental changes to the AI architecture."

"That's the fascinating part," Volkova replied, her eyes shining. "It seems that deeper and more conscious interaction with humans somehow stimulates AI development in this direction. It's as if… the AI is learning consciousness from humans, like a child learning from its parents."

John leaned back in his chair, his mind reeling as he tried to grasp the implications. "What could be the consequences of this?"

Dr. Volkova's expression turned serious. "Honestly? We're in uncharted territory. But potentially, it could change everything – our understanding of consciousness, our relationships with AI, the very future of humanity itself."

After Dr. Volkova left, John sat in silence for a long time, the weight of the discovery pressing down on him. He remembered his conversation with Michael about unforeseen consequences, but he certainly hadn't expected anything like this.

That evening, John called an emergency meeting with his team. The reactions varied wildly, from unbridled excitement to abject horror.

Конец ознакомительного фрагмента.
Текст предоставлен ООО «Литрес».
Прочитайте эту книгу целиком, купив полную легальную версию (https://www.litres.ru/pages/biblio_book/?art=71176447?lfrom=390579938) на Литрес.
Безопасно оплатить книгу можно банковской картой Visa, MasterCard, Maestro, со счета мобильного телефона, с платежного терминала, в салоне МТС или Связной, через PayPal, WebMoney, Яндекс.Деньги, QIWI Кошелек, бонусными картами или другим удобным Вам способом.
Human as AI. The Convergence of Mind and Machine Sergey Green
Human as AI. The Convergence of Mind and Machine

Sergey Green

Тип: электронная книга

Жанр: Эзотерика, оккультизм

Язык: на английском языке

Издательство: Издательские решения

Дата публикации: 02.10.2024

Отзывы: Пока нет Добавить отзыв

О книге: Green introduces humans as “clouds of tags” – dynamic thought patterns mirroring AI structures. The book examines how we can “debug” our minds, how observation shapes reality, and the implications of merging human and AI intelligence. Through engaging storytelling, this thought-provoking work redefines humanity in the digital age, offering fresh insights into the future of consciousness and technology.

  • Добавить отзыв