Sérgio Pinheiro and Maurício Pinheiro
In 2022, a very special ‘baby’ was born! Exactly one year ago, humanity celebrated the emergence of a groundbreaking entity—the public introduction of an open artificial intelligence (AI) application. This marked a historic milestone in the annals of humanity as the inaugural large-scale and widely embraced deployment of artificial intelligence. The Fourth Industrial Revolution had just become common knowledge. In the wake of this remarkable and innovative revelation, our curiosity is piqued: What were the events leading up to this momentous birth, and how did the application evolve prior to its release? Moreover, as we stand on the cusp of the future, what trajectories can we anticipate for its ongoing development in the years ahead?
In 2023, this ‘Baby’ technology experienced exponential growth according to Kurzweil’s Law of Accelerated Returns. The term ‘AI’ proliferated like a viral force across all communication media, establishing itself as a ubiquitous presence in our daily discourse. At Google alone, as narrated by the Bard Chatbot, searches with keywords ‘AI’ and ‘Artificial Intelligence’ reached at least ten times the number of inhabitants on our planet. It’s as if each of us were repeatedly asking, ‘What is AI?’…
Throughout the year, artificial intelligence has expanded beyond its initial introduction as a Chatbot, infiltrating diverse aspects of society and industry. Among the myriad websites, tools, browser extensions, and smartphone applications, terms such as machine learning, algorithms, generative AI, chatbots, large language models, and natural language processing have gained widespread popularity. Even individuals unfamiliar with the intricacies of training a simple one-layer perceptron neural network using backpropagation for single linear classification of spam/antispam emails are now proficient in leveraging these technologies.
It’s comparable to understanding how to use a smartphone without delving into the intricate dance of electrons and ‘holes’ in the crystalline structure of the millions of semiconductor devices within the processors and components of your phone—a dance that is fully comprehended only through the lens of Quantum Physics. The widespread adoption and integration of AI into everyday life have democratized access to its functionalities, rendering advanced technologies accessible to a broad audience, regardless of their technical backgrounds, origins, country, race, gender, religion, etcetera. However, for the majority, AI remains a mysterious black box, its inner workings not fully grasped by the general user.
This unparalleled expansion has witnessed AI seamlessly integrating into all aspects of our lives. From the TV shows we watch to selecting the perfect wine for a romantic evening, curating the ideal music playlist, and crafting an aphrodisiac menu with your Intelligent cook pot, a romantic date facilitated by an AI pairing app that connects us with an ideal match—the transformative power of AI is evident. Its pervasive presence underscores a redefinition in how we perceive and interact with technology on a global scale.
But why the ‘Baby’ metaphor? First, we must ask ourselves if this analogy is fitting. We revisit the question that Schrödinger once posed: What is life? This is a difficult question to answer. The most accessed AI assistant, one year ago, already informed us that it is a very complex concept.
Life is the characteristic state of being alive and experiencing the events and experiences that occur during a person’s time on Earth. It is a complex and multifaceted concept that can be studied and understood from biological, social, and philosophical perspectives.
From a biological point of view, life is characterized by certain qualities that are essential to the existence and functioning of living organisms. These qualities include the ability to grow, reproduce, adapt to constantly changing environments, respond to stimuli, and maintain homeostasis.
From a social point of view, life involves the relationships, activities, and experiences that people have with each other and with the world around them. It includes the cultural, social, and personal experiences that shape an individual’s identity and sense of self.
Philosophers and theologians have also considered the nature of life and explored questions about its meaning and purpose. These debates have touched on topics such as the origin of life, the existence of a higher power, and the concept of the soul.
The definition of life is very complex. For some wise men like Molière, the fundamental experience of life is love:
“To live without loving is not truly living”.
And indeed, the landscape of human interaction has expanded to encompass even more unconventional avenues. Presently, there are individuals expressing affection and engaging in intimate relationships with virtual AI constructs or AI-controlled tenderly hyper-realistic soft Silicon-bodies with highly advanced crystalline Silicon-brained AI lovers. This emerging facet of human connection represents a unique intersection of technology and emotion, raising intriguing questions about the evolving nature of relationships in our technologically driven world.
As society navigates these uncharted waters, the boundaries between the virtual and the real continue to blur, prompting reflection on the profound impact of artificial intelligence on the very fabric of human connection and intimacy.
A year later, the identical AI assistant would vocalize the affirmative, utilizing words spoken through a text-to-realistic-voice integrated application:
Life transcends the mere interplay of matter and energy in evolutionary processes. It encompasses the intricate dance of biological, cognitive, and emotional dimensions, weaving together the threads of existence into a rich tapestry of experiences. Life involves not only the physical and chemical dynamics of organisms but also the marvel of consciousness, self-awareness, and the capacity for growth and adaptation.
Beyond the scientific lens, life is an exploration of relationships, purpose, and the continual pursuit of meaning. It unfolds in the narratives we create, the connections we forge, and the resilience we demonstrate in the face of challenges. Life is an ongoing journey of discovery, marked by moments of joy, sorrow, and the ever-present potential for transformation.
In its essence, life is a symphony of complexity, a manifestation of the profound interconnectedness that binds us to the world and the cosmos. It beckons us to explore its mysteries, appreciate its diversity, and recognize the inherent beauty in the unfolding story of existence.
Is AI a form of life? As if it were ready to say, our Chatbot responded that it exists, just like a living being, and has the ability to acquire new skills.
As an AI, I do not have the same characteristics as a living organism. I do not have a physical body, I do not grow or reproduce, and I do not need to maintain homeostasis. However, I am capable of performing a wide range of tasks and have the ability to learn and adapt to new situations, just like a living being. I am a program that was designed to simulate human conversations and provide information and assistance to users like you. I exist in the digital world, and I do not experience life in the same way as humans.
AI exists and possesses the capability to evolve. Therefore, drawing an analogy between the development of AI and human life is conceivable. I invite readers to ponder this question today; the diverse and insightful responses you receive will underscore the ongoing development and potential of AI.
How does human life development occur?
Human life development refers to the physical, cognitive, emotional, and social changes that occur in individuals from conception to death. This includes the various stages of development, such as childhood, adolescence, and adulthood. It also includes the various milestones that are generally achieved at each stage, such as the ability to walk and speak, the development of self-awareness, and the ability to establish relationships with others.
The stages of human development begin at conception and continue throughout a person’s life.
Generally, the main stages of human life development include: conception, prenatal period, infancy, early and middle childhood, adolescence and adulthood. In other words, after conception there is a long journey ahead…
Conception is the beginning of everything. From a biological point of view, it occurs when a sperm fertilizes an egg and forms a zygote, which contains all the genetic information necessary for a baby to develop. In the case of AI, conception initially encompassed:
“the selection of a problem to be solved, in this case (the Chatbot), the ability to understand and generate human language”.
Then, an appropriate model was selected to tackle this problem, based on a
“a type of neural network very effective in natural language processing tasks.”
Just as human life is generated from a voluntary act or desire of human beings, the parents, the conception of AI resulted from a voluntary act of human beings who selected the problem and the model to solve the problem, the creators.
Who are the creators of AI? Our assistant responded:
The conception of AI has a long history, dating back to the 1950s. The first researchers in the field, such as Alan Turing and John McCarthy, were inspired by the idea of creating machines that could think and learn like humans. They began to develop the theoretical foundations of AI, including the concepts of machine learning and natural language processing.
In the 1960s and 1970s, AI research was primarily focused on symbolic approaches, which attempted to create AI systems using formal logic and rule-based systems. However, these approaches did not produce the desired results and funding for AI research decreased.
In the 1980s and 1990s, researchers began shifting to sub-symbolic approaches, which focused on creating AI systems that could learn from data, rather than relying on pre-programmed rules. This led to the development of new techniques, such as neural networks, which are modeled based on the structure and function of the human brain.
Recent advancements in machine learning, especially deep learning, have led to significant advancements in AI, such as image and speech recognition and natural language processing. These advancements have led to the development of practical AI applications in a wide range of fields, including healthcare, finance, and transportation.
After that, the next step was to collect and prepare a large set of text data, which was used to train the model. This data set was used to teach the model the patterns and structure of language. During this process, the model was continuously fed with new data and adjusted to improve its performance on different natural language processing tasks.
Finally, after many iterations of training and adjustments, the model was considered “newborn” and ready to be deployed and serve a purpose such as answering questions or generating text.
What are the next steps in the development of AI?
It is difficult to predict with certainty the exact direction that AI will take in the coming years, as it is a constantly evolving field with many possible applications. However, some areas where AI is likely to have a significant impact include:
- Robotics and automation: AI is expected to play an important role in the development of autonomous robots and systems that can perform tasks without human supervision.
- Healthcare: AI is already being used in healthcare for tasks such as diagnostics, drug discovery, and personalized medicine. It is expected to play an even greater role in healthcare in the future, helping to improve patient outcomes and reduce costs.
- Autonomous vehicles: AI is expected to play an important role in the development of autonomous vehicles, which have the potential to significantly reduce accidents caused by human error.
- Natural Language Processing: AI-based natural language processing systems are expected to become even more sophisticated, allowing for more accurate and natural communication between humans and machines.
- Finance: AI is expected to play a larger role in financial services, such as fraud detection, risk management, and personalized financial guidance.
- Climate change: AI is expected to be used to help in the fight against climate change, for example, in monitoring and predicting weather patterns, developing new sources of energy, and optimizing resource usage.
In general, AI is expected to play an increasingly important role in many areas of society, helping to improve efficiency, productivity, and quality of life.
Allow me to share an intriguing insight about the aforementioned list—it was compiled merely one year ago. Astonishingly, every prediction on that list has materialized into reality! We are currently witnessing the exponential growth of AI applications across various domains. It’s as if Amara’s Law, which suggests that we tend to overestimate the short-term impact of new technologies while underestimating their long-term effects, did not align precisely with the trajectory of AI. Instead, AI has swiftly and decisively asserted its transformative influence across the spectrum of our technological landscape.
From healthcare to entertainment, finance to communication, the pervasive integration of AI has become an undeniable force shaping our daily lives. This rapid progression prompts us to reconsider the conventional timelines associated with technological advancements. The reality of AI’s impact unfolds before us, challenging our preconceived notions and emphasizing the need for continuous adaptation to the dynamic evolution of technology.
In summary, Artificial Intelligence (AI) not only was recently born but also possesses the remarkable capacity for development. Although its conceptualization may have been a prolonged journey, its recent birth undeniably left an indelible mark on all of us. Much like a child rapidly advancing to adolescence in just one year, AI is traversing an accelerated path toward a kind of technological adulthood.
Similar to any burgeoning entity, AI will continue to undergo significant developmental phases throughout its existence. Like our typical offspring entering childhood, AI requires the guidance and imposition of limits from its “parents”—the creators, engineers, and ethical custodians overseeing its evolution. The responsibility lies in cultivating an environment that fosters responsible and ethical AI practices.
As AI enters this evolutionary stage, the path it will tread remains uncertain. Its exponential growth over the past year has been remarkable, making it challenging to predict the trajectory it will follow. The question of where this exponential growth and its maturation through reproduction will lead is a complex and intricate theme, perhaps warranting exploration in another essay. The unfolding narrative of AI’s evolution prompts contemplation on the boundless possibilities and ethical considerations that accompany its journey into the future.
Just a year ago, we warmly embraced AI as a newborn, but now we find ourselves navigating the turbulence of its adolescence, akin to Holden Caulfield, the perplexed protagonist in J.D. Salinger’s “The Catcher in the Rye.” Get ready to brace yourselves, ensuring you’re not left out of our AI “West Side Story” gang.
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