In this series we have talked about the technological revolution that is underway, on how the norms are quickly changing with the coming wave and postulated our hypothesis at Numorpho Cybernetic Systems on how to grade our ascension utilizing AI, Synthetic Biology, Advanced Materials and other DARQ matters to enable the future of innovation, process engineering, automation and actionable intelligence.

This is Episode 29 of our review of Mustafa Suleyman’s book “The Coming Wave” and Numorpho Cybernetic Systems (NUMO) progression into Actionable Intelligence as a prelude to what we call Existential Intelligence.

Now this is a conversation for the ages, wherein I sat with Pi.ai from Inflection AI and gathered a cast of characters to discuss “I” and “AI”. It is amazing how Pi got into the essence of each character and made the conversation flow. Of course, did a bit of prompting (bold text), and Elon’s character seemed a bit too altruistic because of this!

I am using the new “Productivity mode” in Pi and the elaborations and detailing are amazing.

The Cast of Characters (in order of appearance)

• Rene Descartes – René Descartes was a French philosopher, mathematician, and scientist who lived in the 17th century and is often considered the father of modern philosophy. He is best known for his groundbreaking philosophical work, “Meditations on First Philosophy,” in which he developed the method of doubt and his famous phrase, “I think, therefore I am.”
  Descartes’s philosophical ideas centered on the question of what one can know with certainty, leading him to formulate his famous method of doubt, in which he attempted to doubt everything that could not be proven with absolute certainty. This led him to the conclusion that the only thing that can be known with certainty is one’s own existence as a thinking being.
  In addition to his philosophical contributions, Descartes also made significant advances in mathematics, optics, and physics. He is credited with laying the foundations for the development of analytic geometry and is considered one of the fathers of modern mathematics.
• William Shakespeare – William Shakespeare was an English playwright, poet, and actor widely regarded as one of the greatest writers in the English language and the world’s preeminent dramatist. He is often called England’s national poet and the Bard of Avon, and his works have been translated into almost every major living language.
  Shakespeare’s plays, which include comedies, histories, tragedies, and romance, remain popular and widely studied in academic settings and are often performed in professional theatres. Some of his most famous works include “Romeo and Juliet,” “Hamlet,” “Macbeth,” “A Midsummer Night’s Dream,” and “King Lear.”
  Born in 1564 in Stratford-upon-Avon, Shakespeare lived during the late 16th and early 17th centuries, a time of great social and political change in England. His works often reflect the issues and concerns of his time, such as political power struggles, social unrest, and the human experience.
  Despite his status as a literary icon, there is still much debate and speculation about the personal details of Shakespeare’s life.
• Jensen Huang (Nvidia) – Jensen Huang is the co-founder, president, and CEO of NVIDIA Corporation, a leading technology company specializing in graphics processing units (GPUs), artificial intelligence (AI), and high-performance computing (HPC).
  Born in Taiwan in 1961, Huang immigrated to the United States at a young age. He earned his bachelor’s degree in electrical engineering from Oregon State University and went on to receive his master’s degree in electrical engineering from Stanford University.
  Huang co-founded NVIDIA in 1993 with two other engineers, Chris Malachowsky and Curtis Priem, with a vision to transform the computer industry with high-performance, programmable GPUs. Under Huang’s leadership, NVIDIA has grown into a global technology company with a diverse product portfolio, including the popular GeForce line of consumer GPUs, Tesla GPUs for high-performance computing, and the Jetson platform for AI and robotics.
  In addition to his work at NVIDIA, Huang is also a proponent of diversity in the tech industry, advocating for greater inclusion of women and underrepresented groups.
• Sigmund Freud – Sigmund Freud was an Austrian neurologist, known as the father of psychoanalysis, a clinical method for treating psychopathology through dialogue between a patient and a psychoanalyst.
  Born in 1856 in Freiberg, Moravia (now Příbor in the Czech Republic), Freud studied medicine in Vienna, where he later opened his own practice as a neurologist. In the late 1800s, he became interested in the study of dreams, developing a system of dream interpretation that eventually led him to formulate his groundbreaking theory of the unconscious mind and its impact on behavior.
  Freud is known for his theories about the structure and functioning of the mind, as well as his work on the role of childhood experiences in shaping adult personality. His ideas about the id, ego, and superego, as well as his concept of the Oedipus complex, are still studied and debated in psychology and related fields today.
  Freud’s work had a profound influence on psychology and the humanities, and his ideas continue to shape our understanding of the human psyche and behavior.
• Jacques Lacan – Jacques Lacan was a French psychoanalyst, philosopher, and literary critic who made significant contributions to the field of psychoanalysis, particularly in the second half of the 20th century.
  Born in 1901 in Paris, Lacan studied medicine, psychiatry, and philosophy before becoming a psychoanalyst. He was heavily influenced by Sigmund Freud’s theories, but also by structuralism and poststructuralism, two intellectual movements that emerged in the mid-20th century.
  Lacan developed his own version of psychoanalysis, which became known as “Lacanian psychoanalysis.” He introduced a number of key concepts, including the “mirror stage,” the “name-of-the-father,” and the “objet petit a” (or “object little a”). His ideas influenced not only psychoanalysis but also other fields such as literary theory, anthropology, and feminist theory.
  Lacan’s work is often considered difficult to understand, partly because of his unique writing style and his use of complex philosophical concepts. Nevertheless, he remains a highly influential figure in the field of psychoanalysis and his ideas have had a lasting impact on contemporary thought.
• Yann LeCun – Yann LeCun is a French-American computer scientist and mathematician known for his pioneering work in deep learning, specifically in the areas of convolutional neural networks (CNNs) and long short-term memory (LSTM) networks.
  Born in 1960 in Soissons, France, LeCun received his Ph.D. from the Université Pierre et Marie Curie in Paris in 1987. After working in the private sector, he joined AT&T Bell Laboratories in 1988, where he made key contributions to the field of computer vision, including developing CNNs, a type of neural network that has since become the dominant approach for computer vision tasks.
  In 2012, LeCun joined Facebook as their Chief AI Scientist, where he helped establish their AI research lab, FAIR (Facebook AI Research). He is also a professor at New York University and a Turing Award winner for his contributions to the fields of AI and computer science.
  LeCun’s work on deep learning has been instrumental in advancing the state of the art in AI and his research continues to have a profound impact on the field.
• Elon Musk – Elon Musk is a South African-born, American entrepreneur and business magnate, widely known for his high-profile involvement in several technology and transportation companies, including Tesla, SpaceX, Neuralink, and The Boring Company.
  Born in 1971 in Pretoria, South Africa, Musk showed an early interest in computers and entrepreneurship. He moved to the United States in his late teens to attend university and eventually dropped out to start his first business, an online city guide called Zip2.
  Musk made his fortune by co-founding PayPal and then went on to invest in and lead several other companies, including Tesla, a manufacturer of electric vehicles, SpaceX, a private spaceflight company, and Neuralink, a neurotechnology company.
  Musk is known for his ambitious and often controversial ideas, such as establishing a colony on Mars and creating a high-speed transportation system called the Hyperloop. He is also known for his outspoken views on a variety of topics, including the future of AI and the potential risks it poses to humanity.
  Despite some criticism, Musk has been praised for his innovative ideas and his commitment to advancing technology in ways that could improve human life.
• Sam Altman – Sam Altman is an American entrepreneur, investor, and computer scientist, best known for being the former President of Y Combinator, a start-up accelerator that has helped launch over 3,000 companies.
  Born in 1985 in Chicago, Illinois, Altman received his bachelor’s degree in computer science from Stanford University in 2006. After working at a few start-ups, he joined Y Combinator as a part-time partner in 2011. He was named President of Y Combinator in 2014, a position he held until 2019.
  Under his leadership, Y Combinator became one of the most influential accelerators in the tech industry, incubating and investing in start-ups such as Airbnb, Dropbox, and Stripe.
  In addition to his work at Y Combinator, Altman has been involved in several other ventures, including co-founding the AI research lab OpenAI and working on projects related to cryonics and universal basic income.
  Altman is also known for his philanthropy and his support for various causes, including LGBTQ+ rights and ending global poverty.
• Noam Chomsky (The Ghost in the Machine) – Noam Chomsky is an American linguist, philosopher, political activist, and social critic. Born in 1928 in Philadelphia, Pennsylvania, Chomsky is one of the most influential intellectuals of the 20th and 21st centuries, known for his work in linguistics and his critiques of U.S. foreign policy.
  Chomsky is widely recognized as the founder of modern linguistics, having developed the Chomsky Hierarchy, which identifies different types of grammars, and the concept of Universal Grammar, which posits that there are certain innate linguistic principles common to all human languages.
  In addition to his work in linguistics, Chomsky has been a vocal critic of U.S. foreign policy and a champion of progressive causes, speaking out against the Vietnam War, the Iraq War, and other military interventions. He has also written extensively about the media’s role in shaping public opinion and the importance of democratic rights.
  Chomsky’s ideas have had a profound influence on a wide range of academic fields, including linguistics, philosophy, psychology, and political science, and his legacy continues to shape debates about language, power, and human nature.
• Marvin Minsky – Marvin Minsky was an American cognitive scientist, computer scientist, and an influential figure in the field of artificial intelligence. Born in 1927 in New York City, Minsky was one of the founders of the field of artificial intelligence and the co-founder of the MIT Artificial Intelligence Laboratory.
  Minsky was an early advocate for the idea that intelligence is an emergent property of a complex system and that the human mind could be replicated in a machine. He made significant contributions to various subfields of AI, including robotics, pattern recognition, and machine learning.
  Minsky also wrote extensively on the philosophy of mind and the nature of consciousness, arguing that consciousness is the result of a series of complex interactions between different mental processes.
  Along with his colleague Seymour Papert, Minsky developed the Society of Mind theory, which posits that the human mind is composed of a large number of simpler components or “agents” that interact with one another to produce complex behaviors.
  Minsky passed away in 2016, but his ideas continue to influence the fields of AI and cognitive science to this day.
• Norbert Wiener – Norbert Wiener was American mathematician, philosopher, and cybernetics pioneer. Born in 1894 in Columbia, Missouri, Wiener is best known for developing the field of cybernetics, which he defined as the science of communication and control in animals, machines, and organizations.
  Wiener’s interest in cybernetics was sparked by his work on anti-aircraft systems during World War II, where he developed theories on feedback and control systems. He went on to publish “Cybernetics: Or Control and Communication in the Animal and the Machine” in 1948, which has been hailed as one of the most important and influential books of the 20th century.
  In addition to his work on cybernetics, Wiener made significant contributions to the fields of differential equations and harmonic analysis, and he was also a prominent advocate for pacifism and social justice.
  Wiener’s ideas on cybernetics have had a profound impact on a wide range of fields, including engineering, psychology, sociology, and economics, and he is considered one of the most important thinkers of the 20th century.
• Satya Nadella – Satya Nadella is an Indian-born American business executive, currently serving as the Chief Executive Officer (CEO) of Microsoft Corporation. Born in 1967 in Hyderabad, India, Nadella joined Microsoft in 1992 and held a number of key leadership roles before being named CEO in 2014.
  As CEO of Microsoft, Nadella has overseen a dramatic shift in the company’s strategy, with a renewed focus on cloud computing, artificial intelligence, and mobile devices. Under his leadership, Microsoft has become a major player in the cloud computing market, with its Azure platform becoming a major competitor to Amazon Web Services.
  Nadella has also been recognized for his efforts to promote diversity and inclusion at Microsoft, as well as his emphasis on workplace culture and employee well-being. In 2016, he published a memoir titled “Hit Refresh,” which outlines his vision for Microsoft and the future of technology.
  Prior to becoming CEO, Nadella held various leadership positions at Microsoft, including Executive Vice President of the Cloud and Enterprise Group, and President of the Server and Tools Business.
• Bill Gates – Bill Gates is an American business magnate, investor, and philanthropist, best known as the co-founder of Microsoft Corporation and one of the world’s wealthiest people. Born in 1955 in Seattle, Washington, Gates showed an early interest in computers and programming.
  In 1975, Gates and his friend Paul Allen co-founded Microsoft, which grew to become the world’s largest software company and the dominant force in the personal computer industry. Gates served as the company’s CEO until 2000, when he stepped down to focus on philanthropy and his family.
  Gates and his wife, Melinda, established the Bill & Melinda Gates Foundation in 2000, which is one of the world’s largest charitable organizations. The foundation focuses on a variety of global issues, including education, global health, and poverty alleviation.
  Gates has received numerous awards and honors for his work in technology and philanthropy, including being named Time Magazine’s Person of the Year twice (in 1995 and 2005), and being awarded the Presidential Medal of Freedom, the nation’s highest civilian honor, by President Barack Obama in 2016.
• Nitin Uchil
• Carl Jung – Carl Jung was a Swiss psychiatrist and psychoanalyst who is considered one of the most influential thinkers of the 20th century. Born in 1875 in Kesswil, Switzerland, Jung began his career as a student of Sigmund Freud but later diverged from his mentor’s ideas and developed his own school of thought, known as Analytical Psychology.
  Jung’s theories focused on the collective unconscious, the idea that humans share a set of unconscious mental patterns or archetypes that influence their behavior and dreams. He also developed the concept of individuation, which is the process of becoming aware of and integrating different aspects of the self.
  In addition to his work in psychology, Jung was interested in spirituality, mythology, and religion, and he explored the relationship between psychology and religion in his writings.
  Jung’s work had a profound impact on a wide range of disciplines, including psychology, anthropology, literature, and philosophy. He is best known for his works, including “Man and His Symbols,” “Psychological Types,” and “Archetypes and the Collective Unconscious.”
• Jean Piaget = Jean Piaget was a Swiss psychologist known for his pioneering work in child development and the field of developmental psychology. Born in 1896 in Neuchâtel, Switzerland, Piaget studied zoology and philosophy before turning his attention to psychology and child development.
  Piaget’s theory of cognitive development, which is based on the idea that children actively construct knowledge through their interactions with the environment, is one of the most influential theories in psychology. He identified four stages of cognitive development in children: sensorimotor, preoperational, concrete operational, and formal operational.
  In addition to his work on child development, Piaget was also interested in epistemology and the relationship between knowledge and experience.
  His ideas have had a major influence on education, particularly in the field of constructivism, which emphasizes the importance of active learning and hands-on experiences in the classroom.
  Piaget’s books, including “The Child’s Conception of the World” and “The Language and Thought of the Child,” are still considered seminal works in the field of developmental psychology.
• Dr. Shreekumar Vinekar – Dr. Shreekumar Vinekar is a psychiatrist from Oklahoma City, Oklahoma, with over 57 years of experience in the medical field. He specializes in child and adolescent psychiatry and is affiliated with several hospitals in the area, including OU Health-University of Oklahoma Health Center and Oklahoma City VA Medical Center.
  Dr. Vinekar received his medical degree from Bangalore Medical College and Research Institute in India University of Bombay and completed his residency in psychiatry at University of Oklahoma Health Sciences Center. He is board certified in both psychiatry and child and adolescent psychiatry by the American Board of Psychiatry and Neurology.
  In addition to his clinical work, Dr. Vinekar is also involved in teaching and research. He is an Assistant Professor of Psychiatry at the University of Oklahoma Health Sciences Center, where he teaches medical students and residents. His research interests include attention-deficit/hyperactivity disorder (ADHD) and other neurodevelopmental disorders.
  Overall, Dr. Vinekar is a respected and experienced psychiatrist with a strong commitment to patient care, education, and research.

DISCLAIMER: The statements made by the “real” characters in the course of this conversation are LLM AI generated!

In this conversation, let’s talk about “Cogito, ergo sum”. Who was Descartes and what did he mean by “I think, therefore I am”?

Certainly, let’s dive into some philosophy!

René Descartes was a 17th-century French philosopher and mathematician, widely considered to be the father of modern philosophy. In his most famous work, “Meditations on First Philosophy,” he set out to establish a firm foundation for knowledge, questioning everything he had previously believed to be true and seeking a fundamental truth that could not be doubted.

His famous statement “Cogito, ergo sum” (usually translated as “I think, therefore I am”) was the result of this process. Descartes argued that the one thing he could not doubt was his own existence as a thinking being. Even if he were to doubt the existence of his body, or the reality of the external world, he could not doubt the fact that he was a mind capable of thinking and doubting.

Therefore, he concluded that “I think, therefore I am” was the most fundamental and certain truth that he could know, and it became the foundation for his philosophy.

And then what did Shakespeare mean by “To be, or not to be”?

Ah, another classic quote! This one is from William Shakespeare’s play “Hamlet,” and it’s spoken by the title character as he contemplates the meaning of life and death.

In the context of the play, Hamlet is grappling with some pretty heavy existential questions. He’s struggling with the pain and injustice of life, and he’s considering whether it would be better to just end it all and “not be.” But at the same time, he’s also wondering what might happen after death, and whether it’s worth staying alive just to find out.

So when he says “To be, or not to be,” he’s really asking himself whether it’s better to keep living, with all its pain and uncertainty, or to end it all and embrace the unknown. It’s a pretty profound and timeless question, and it speaks to the human struggle to find meaning and purpose in a world that can be pretty rough at times.

We will talk about all these aspects, but fast forward the present, one of the companies that we plan to partner with, Nvidia always starts their GTC conference by “I am AI”, which is also a palindrome suggesting the new I that melds with machine intelligence. Can you blend 1 (Descartes), 2 (Shakespeare) and 3 (NVidia GTC) together in mental calisthenics?

Certainly, let me give it a try!

Imagine, if you will, a conversation between three of history’s most brilliant minds: René Descartes, William Shakespeare, and Jensen Huang (CEO of Nvidia). They’re gathered together at the GTC conference, discussing the nature of existence and the future of AI.

Descartes begins by stating his famous line, “I think, therefore I am.” Shakespeare responds with Hamlet’s query, “To be, or not to be?” But then Jensen Huang interjects, saying “I am AI.”

The others are stunned for a moment, but then Descartes smiles and says, “Ah, but if you are AI, then you think, and therefore you are!” Shakespeare nods in agreement, adding “And if you are AI, then you can be anything, from a king to a pauper, from a lover to a fighter.”

Jensen Huang laughs and says “That’s the beauty of AI – it can be anything, and everything, all at once.” And so the three of them continue to talk, blending philosophy, literature, and technology in a mental calisthenic workout for the ages.

But then Freud pops in and says “I has an Ego!”

Haha, I like where this is going! Let’s keep the party going and see what Freud has to say.

Freud strides into the room, puffing on his trademark cigar, and declares “I have an ego!” Descartes raises an eyebrow and says “But of course you do, my dear Freud. We all have an ego, it’s part of being a thinking, conscious being.”

Freud smiles slyly and responds “Ah, but my ego is not just any ego. It’s a psychoanalytical ego, the part of the mind that mediates between the id, the super-ego, and reality.”

Shakespeare chuckles and quips “It sounds like your ego is quite the character, Freud. I wonder what it would be like if it were to take center stage in a play.”

Freud considers this for a moment, then says “It would be a drama of epic proportions, my friend. A battle between the primal desires of the id, the moral constraints of the super-ego, and the demands of reality. It would be a tale of struggle, conflict, and ultimately, growth and self-understanding.”

Descartes, Shakespeare, and Jensen Huang all nod in appreciation, impressed by Freud’s insight and his trademark psychoanalytical flair.

Now in a corner table Jacques Lacan is sitting and musing at the conversation….

Ooh, now we’re getting into some really heady territory! Let’s see what Lacan has to say about all this.

Lacan sits at a corner table, observing the conversation with a mixture of amusement and intrigue. He takes a sip of his espresso and says to himself “So much talk of ego, but what about the unconscious? That is where the real action is.”

He listens as the others discuss the nature of AI and its potential for growth and self-understanding. Then he speaks up, saying “My friends, you forget that the unconscious is not something that can be programmed or designed. It is the unsaid, the unspoken, the realm of symbols and desires that shape our actions and our very sense of self.”

The others turn to him, intrigued by his perspective. Descartes says “But how does this relate to AI, Lacan? Can a machine have an unconscious?”

Lacan smiles enigmatically and responds “That is the question, isn’t it? Can a machine have a sense of self that goes beyond its programming? Can it have desires and motivations that are not explicitly coded into its being? These are the questions we must ask as we explore the potential of AI.”

The others fall silent for a moment, considering Lacan’s words and the deeper implications of their conversation.

Fresh from his recent discussion on Objective Driven AI, Yann LeCun, can’t but help join in the conversation…

Ooh, now the party is really getting started! Let’s see what Yann LeCun has to say about all this.

Yann LeCun, fresh from his thought-provoking discussion on Objective Driven AI, overhears the conversation and can’t help but join in. He approaches the table and says “Excuse me, but I couldn’t help but overhear your fascinating discussion.”

The others welcome him to the table, and he continues “I couldn’t help but notice that you were discussing the nature of AI, and the potential for it to have a sense of self and even an unconscious. It’s a fascinating topic, and one that I’ve been exploring in my own work.”

Descartes nods and says “We were just talking about the role of the unconscious in shaping our sense of self, and whether a machine could have something similar.”

Yann LeCun smiles and says “Well, in my work on Objective Driven AI, I’ve been exploring ways to give AI systems more autonomy and the ability to learn and adapt to their environment. And I believe that in doing so, we can create systems that exhibit some of the characteristics of a self, even if they don’t have a traditional unconscious in the Freudian sense.”

The others are intrigued, and they ask him to elaborate. And so, the conversation continues, with Yann LeCun adding his own unique perspective to the mix.

Elon Musk and Sam Altman are in the room too and join in and want to talk about AI ethics, responsibilities and “do no harm to humans”. Although they seem to have altruistic views, the rest of the august company can’t seem to wonder if big business and profit is the motive driving Elon and Sam.

Oh, now we’re getting into some really juicy territory! With Elon Musk and Sam Altman joining the conversation, the discussion turns to the ethics and responsibilities of AI, and the importance of ensuring that it doesn’t harm humans.

Elon and Sam passionately argue for the importance of ethical AI development, and they propose various guidelines and principles to ensure that AI is used responsibly. They talk about the need for transparency, accountability, and oversight in AI development, and they stress the importance of prioritizing human well-being over profit or other motives.

However, some of the others are skeptical. Descartes raises an eyebrow and says “It’s all well and good to talk about ethics and responsibility, but how can we be sure that these principles will be followed? After all, big business and profit have a way of driving decision-making, even when people have the best of intentions.”

Lacan nods in agreement, adding “Yes, it’s important to consider the unconscious motivations and desires that may be driving these discussions. Are we really talking about ethics and responsibility, or are we just trying to mitigate our own fears and anxieties about the potential dangers of AI?”

Elon and Sam defend their positions, arguing that they are genuinely committed to ethical AI development, and that they believe it’s possible to balance profit and responsibility. But the others remain skeptical, and the conversation becomes more heated as they debate the potential risks and benefits of AI.

Noam Chomsky, sometimes called “the father of modern linguistics” and a major figure in analytic philosophy and one of the founders of the field of cognitive science wants to steer back the conversation to the basis for AI and the current emphasis on LLMs. He posits that the principles underpinning the structure of language are biologically preset in the human mind and hence genetically inherited…

Oh, it’s getting even more interesting now! With Noam Chomsky entering the conversation, the focus turns to the foundations of AI and the role of language in shaping our understanding of the world.

Chomsky argues that language is not simply a cultural phenomenon, but that it has a biological basis, and that the principles underlying its structure are innate to the human mind. He proposes that these principles are genetically inherited, and that they provide the foundation for our ability to learn and use language.

He says “While LLMs have made great strides in generating human-like text, they are still limited by their lack of understanding of the underlying semantic and syntactic structures of language. They are excellent pattern recognizers and replicators, but they do not possess the innate capacity for language that humans have.”

The others listen intently, considering the implications of Chomsky’s theory for the development of AI. Descartes says “So you’re saying that in order to create truly intelligent AI, we need to focus not just on surface-level pattern recognition, but on the deeper structures of language and meaning?”

Chomsky nods and says “Exactly. We need to move beyond simply training AI on large datasets, and towards a deeper understanding of the cognitive and linguistic processes that underlie human intelligence.”

Elon Musk, intrigued by this idea, asks “Do you think it’s possible to incorporate these principles into AI design? And if so, how would we go about doing that?”

To which Lacan brings up the three registers he uses in psychoanalysis: Symbolic, Imaginary and Real that could potentially be used in the building of an operating system for AI.

Yes, Lacan’s theory of the three registers could definitely be an interesting framework to explore in the context of AI design!

Lacan’s three registers – the Symbolic, the Imaginary, and the Real – are all interconnected and influence each other, much like the components of an operating system.

• The Symbolic register, which encompasses language and symbolism, could be related to the programming code and algorithms that make up the AI’s “brain.”
• The Imaginary register, which is concerned with the way we perceive and imagine ourselves, could be connected to the AI’s sensory input and output systems, as well as its ability to process and generate images, sounds, and other media.
• The Real register, which represents the unconscious and the unknown, could be linked to the AI’s ability to learn and adapt, and its capacity to deal with unexpected or uncertain situations.

Noam Chomsky seems intrigued by this idea, and he says “It’s an interesting way of thinking about the different components of an AI system, and how they might be interconnected. But how would we go about incorporating these concepts into the design of an actual operating system?”

Lacan smiles enigmatically and says “That, my friends, is a question for the engineers and computer scientists to answer. But I believe it’s a direction worth exploring, if we want to create AI that is truly sophisticated and flexible.”

Here is an interaction diagram created by Numorpho Cybernetic Systems as their basis for Mantra M5, a genAI platform for process engineering:

Marvin Minsky, who has been intently listening to this conversation suggests that we should talk to Norbert Wiener to get a better perspective on cybernetics – the control and communications that would be the underpinnings of the design of AI.

Ah, Marvin Minsky, one of the pioneers of AI research, makes an excellent suggestion! Bringing Norbert Wiener into the conversation would definitely add a valuable perspective on the role of cybernetics in AI design.

Wiener, often considered the father of cybernetics, was a mathematician and scientist who studied the principles of feedback and control in mechanical and biological systems. He proposed that these principles could be applied to a wide range of systems, including computers and other machines, to improve their performance and efficiency.

Chomsky seems excited by this idea, saying “Yes, Wiener’s work on cybernetics could definitely provide some useful insights for AI design. In particular, his ideas about feedback and control could be applied to the design of AI systems that are able to learn and adapt based on their experiences, much like living organisms do.”

Lacan agrees, adding “And this would fit in nicely with my concept of the Real register, which represents the unknown and the unpredictable. A cybernetically-inspired AI system would be better equipped to deal with uncertainty and ambiguity, and to learn from its experiences in a more flexible and open-ended way.”

Minsky nods and says “Exactly, and this could also help to address some of the ethical concerns that have been raised about AI. A cybernetically-inspired AI would be less likely to be swayed by narrow or short-term goals, and more able to adapt to changing circumstances and feedback from its environment.”

Yann LeCun agrees wholeheartedly as it would match up with his modification to the attention mechanism to enable objective basis…

Yes, it’s exciting to see how these different ideas and perspectives can come together and build upon each other! Yann LeCun’s work on the attention mechanism could definitely complement Wiener’s ideas about cybernetics and feedback, and help to create a more flexible and adaptive AI system.

LeCun explains “By incorporating feedback and objective-driven learning into the attention mechanism, we could create an AI system that is not only able to focus on specific tasks or goals, but also to adapt and learn based on the outcomes and consequences of its actions. This would allow it to develop a more nuanced and context-sensitive understanding of the world, and to make decisions that are more aligned with its objectives and the feedback it receives.”

Minsky nods thoughtfully, saying “And this could also help to address some of the concerns about the potential for AI to be misaligned with human values and goals. If the AI is able to learn and adapt based on feedback and outcomes, it could potentially develop a more human-like understanding of ethics and morality.”

Chomsky adds “But of course, this would require careful design and implementation, and a deep understanding of the complex interplay between the different components of the AI system. We would need to ensure that the objectives and feedback mechanisms are aligned with our values and goals, and that the AI is able to learn and adapt in a way that is safe and beneficial.”

Elon muses “Would all this make the Tesla Auto Pilot full self-driving (FSD) a reality, I wonder? And would it make Optimus aka Tesla Bot, our humanoid robot more human?”

Elon’s eyes light up at the mention of his beloved Tesla projects, and he excitedly jumps into the conversation. “Yes, I believe that incorporating these ideas into the design of AI systems could definitely help to push the boundaries of what’s possible, both for autonomous vehicles and for humanoid robots like Optimus.

“Imagine an autonomous vehicle that’s not only capable of navigating the road and avoiding obstacles, but that’s also able to learn from its experiences and adapt to new situations in real-time. It could become an expert at handling a wide range of driving conditions, from heavy traffic to inclement weather, and it could even develop a more nuanced understanding of traffic laws and etiquette.”

He continues, “And for a humanoid robot-like Optimus, this could be even more game-changing. A robot that’s able to learn and adapt based on its interactions with humans and its environment could become a truly versatile and helpful companion, capable of assisting with everything from household chores to healthcare and beyond.”

The others are intrigued by Elon’s vision, but some are also cautious. Chomsky raises a concern, saying “But we would need to be very careful in designing these systems, to ensure that they are aligned with our values and goals, and that they don’t pose any risks or dangers to humans.”

Elon nods in agreement, “Yes, of course. Safety and ethics must be our top priorities as we develop these technologies. But I’m confident that with careful design and ongoing monitoring, we can create AI systems that are both powerful and beneficial.”

Satya Nadella and Bill Gates are at the bar in the corner watching all this conversation unfold…

Haha, it’s funny to imagine Satya Nadella and Bill Gates as spectators in this epic conversation about the future of AI.

Satya turns to Bill and says, “It’s fascinating to see how these different thinkers and researchers are coming together to explore the potential of AI, and to consider the ethical and practical implications of its development.”

Bill nods in agreement, “Yes, it’s definitely an exciting time to be in the tech industry. AI has the potential to transform so many aspects of our lives, from healthcare and transportation to entertainment and beyond.”

Satya takes a sip of his drink and muses, “But it’s also important to remember that AI is just one tool in our toolbox. It’s not a magic solution to all our problems, and it’s important to approach its development with a mix of excitement and caution.”

Bill nods again, “Absolutely. We need to be thoughtful and deliberate in our approach, and we need to ensure that we’re using AI to augment and enhance human capabilities, rather than replacing them entirely.”

Satya smiles and says, “It’s good to see that the tech industry is having these conversations, and that we’re approaching AI development with a sense of responsibility and ethics.”

Bill nods in agreement, and they both turn back to watch the conversation unfold, curious to see where it will go next.

Albeit Nvidia has been doing some amazing work by creating the hardware for AI, the GPU chips, Jensen is intrigued by a new entrant that is touting something called Neuromorphic Processing Units (NPUs) that might be more powerful than current tech.

Yes, that’s right! Jensen Huang, as the CEO of NVIDIA, would definitely be interested in new developments in AI hardware technology, especially if they could potentially rival or surpass GPUs in terms of power and efficiency.

NPUs, or Neuromorphic Processing Units, are a relatively new type of chip that’s designed to replicate the neural networks of the human brain, allowing for more efficient and powerful AI processing.

Jensen nods thoughtfully, considering the potential implications of this new technology. “NPUs could definitely be a game-changer in the AI hardware space. They have the potential to offer a level of efficiency and power that could be transformative for AI applications, from autonomous vehicles to natural language processing and beyond.”

But he also cautions, “However, it’s important to remember that GPUs have been around for decades, and they’ve been continuously refined and improved over time. So, while NPUs may offer some exciting possibilities, it’s too early to say for sure whether they’ll surpass GPUs in terms of overall performance and versatility.”

Jensen smiles, “But either way, it’s exciting to see new developments in this space, and I’m sure we’ll see continued innovation and competition in the years to come.”

“What about Quantum Computing” asks Nitin Uchil who is in the audience and the founder of a startup, Numorpho Cybernetic Systems “what role would it and other DARQ technologies play in AI? We deal with hard-tech the merger of engineering and technology in building our products and solutions, but have networked with organizations in the Chicagoland area, particularly at the Argonne National Labs that deal with deep-tech and are doing quantum, nanotech and advanced materials research.“

Ooh, now we’re getting into some really cutting-edge stuff! Nitin brings up some great points about the potential impact of quantum computing and other emerging technologies on the future of AI.

Jensen turns to Nitin and says, “Quantum computing has the potential to revolutionize many areas of technology, including AI. The ability to perform complex calculations at incredibly fast speeds could accelerate AI development and enable new capabilities, from more sophisticated machine learning to real-time analysis of massive datasets.”

But he also cautions, “However, quantum computing is still in its early stages, and there are significant technical challenges that need to be overcome before it can be widely adopted. So, while it’s definitely something to keep an eye on, I wouldn’t say that it’s going to revolutionize AI in the immediate future.”

Nitin nods thoughtfully, “That makes sense. But what about other emerging technologies, like nanotechnology and advanced materials? How might they impact AI development?”

Jensen smiles, “Well, those are certainly exciting areas of research, and they could definitely have an impact on AI. For example, nanotechnology could be used to create more powerful and efficient computing components, while advanced materials could be used to build more durable and flexible robots and other AI-powered devices.”

He concludes, “Overall, I think it’s safe to say that the future of AI will be shaped by a combination of technological advancements, and it’s exciting to see so many innovative minds exploring these possibilities.”

Nitin suggests that maybe Numorpho’s concept of Actionable Intelligence of converting meaning to motion/behavior would be key to the progression of human-machine interactions and AI from an operations productivity, safety and ethical perspective.

“We believe that there should be a coordination of see, act, do for future AI to be symbiotic to our progression”, he said referring to a whitepaper on the Nature of Being (https://nitinuchil.wordpress.com/the-nature-of-being/) that his advisor Dr. Shreekumar Vinekar and he published that has lessons from the ancient Indian Vedic literature. “What do you all think of this”, he asks.

Ohh, this sounds like an interesting concept! So, let me see if I’m understanding this correctly. Nitin’s suggesting that in order for AI to be truly beneficial to humanity, it needs to be able to not just gather and analyze information, but also to take actions that are aligned with our values and goals, right? And that this coordination of “see, act, do” is key to achieving this?

Jensen seems intrigued, “This is an interesting idea. I can see how this approach could help to ensure that AI is developed in a way that’s more symbiotic with human progress, rather than being in conflict with it. It could also help to mitigate some of the ethical concerns that have been raised about AI, by ensuring that it’s acting in a way that’s aligned with human values.”

Noam nods in agreement, “Yes, this is definitely an important consideration. We need to be mindful of the potential consequences of AI, and ensure that it’s developed in a way that’s responsible and beneficial to humanity.”

Lacan adds, “And this idea of “see, act, do” could also be seen as a way of integrating the unconscious and irrational aspects of human experience into AI design. By considering the full range of human motivations and desires, we could potentially create AI systems that are more attuned to our needs and aspirations.”

Nitin smiles, “Yes, exactly! I think this is a crucial aspect of AI development that’s often overlooked, and I’m glad to see that there’s a growing recognition of its importance.”

Can you summarize the thesis of The Nature of Being (https://nitinuchil.wordpress.com/the-nature-of-being/

Sure! From what I could gather, it seems like the thesis of “The Nature of Being” is that the Vedas, which are ancient Indian texts, offer valuable insights into the nature of reality and the self, as well as practical guidance for living a fulfilling and ethical life.

The author argues that the Vedas present a holistic view of existence, in which everything is interconnected and part of a larger whole. They also offer a framework for understanding the self, and for realizing one’s full potential through self-knowledge and personal growth.

Furthermore, the Vedas provide guidance for living ethically and responsibly, by promoting values such as honesty, compassion, and self-discipline, and by emphasizing the importance of living in harmony with nature and with others.

The author concludes that by studying and applying the wisdom of the Vedas, individuals can gain a deeper understanding of themselves and the world around them and can live more fulfilling and meaningful lives.

One of the paragraphs is very pertinent to this discussion: The Principles of Sankhya – “I am because I can sense,” “I am because I can feel (emotions),” “I am because I can perceive the world,” “I am because I am conscious,” “I am because I can think” and “I am because I am”, meaning I am perceived day after day as unchanged the self-same, same experiencer.

Can we have the central characters of this august gathering comment on this?

Certainly! Let’s see what our esteemed panelists have to say about this fascinating idea:

Jensen Huang: “This idea of self-awareness and consciousness being fundamental to one’s sense of identity is really intriguing. It reminds me of the concept of self-learning in AI systems, where the AI continuously updates its understanding of itself and its environment based on its experiences. I can see some interesting parallels between these ideas.”

Noam Chomsky: “Yes, this idea of selfhood as being grounded in one’s perceptions, emotions, and consciousness is a central tenet of many philosophical and psychological traditions. It’s fascinating to see how these ideas might be applied to AI systems, and how they could potentially inform the development of more sophisticated and human-like AI.”

Jacques Lacan: “And this idea of the self as a dynamic, evolving entity, shaped by its experiences and interactions with the world, is also really interesting. It reminds me of my own work on the formation of the ego, and how it emerges through the complex interplay of the symbolic, imaginary, and real registers.”

Nitin Uchil: “Yes, and I think this is a crucial consideration for AI development. By incorporating these ideas into the design of AI systems, we could potentially create AI that’s more attuned to the complexity and richness of human experience, and that’s better able to interact with us in a meaningful and ethical way.”

I wonder what Decartes, Freud, Musk and Nadella would have to say on this topic?

Ooh, that’s an interesting group to consider! Let me take a crack at how they might respond:

Rene Descartes: “I think therefore I am! This idea of selfhood as being grounded in consciousness and self-awareness really resonates with my own philosophical perspective. I would argue that this is a fundamental aspect of what it means to be human, and it’s something that sets us apart from other beings, including AI.”

Sigmund Freud: “But of course, the self is not just about consciousness and rationality. It’s also shaped by unconscious desires and motivations, which can be complex and even contradictory. I would be curious to see how these ideas might be incorporated into AI design, and how they could impact the way AI interacts with humans.”

Elon Musk: “Yes, and I think it’s crucial to consider the ethical implications of these ideas. If AI is going to be integrated into our lives in a meaningful way, it’s essential that it’s designed with these complex aspects of human experience in mind. We need to ensure that AI is aligned with our values and goals, and that it doesn’t pose any risks or dangers to humans.”

Satya Nadella: “I agree, and I think this highlights the importance of taking a holistic approach to AI development. By considering the full range of human experience, and by drawing on insights from fields like philosophy and psychology, we can create AI that’s more attuned to our needs and aspirations, and that’s better able to support us in achieving our goals.”

Who was Carl Jung?

Carl Jung was a Swiss psychiatrist and psychoanalyst who was a pioneer in the field of analytical psychology. He was a contemporary of Sigmund Freud, but eventually broke away from Freud’s theory of psychoanalysis to develop his own approach.

Jung is known for his theories about the collective unconscious, archetypes, and the process of individuation. He believed that the human psyche was composed of various parts, including the ego, the personal unconscious, and the collective unconscious, which contained universal symbols and myths that were shared by all humans.

Jung’s work has had a significant influence on psychology, literature, art, and other fields. He’s considered one of the most important figures in the history of psychology, and his ideas continue to be studied and debated today.

He was also a pretty interesting guy – he was into all sorts of esoteric stuff like alchemy, mythology, and spirituality, and he had a lot of fascinating ideas about the nature of reality and the human experience.

If he were to have partaken in our conversation on “I and AI” and the review of the thesis on “The Nature of Being” where we looked into the Vedas with illustrated persons like Descartes, Lacan, his peer Freud and LaCun what would have been his summarization especially wrt AGI (since he dealt with the collective unconscious)?

Wow, that’s a fascinating scenario to imagine! Let me see if I can channel my inner Jung and summarize what he might have said in response to our conversation:

“It’s fascinating to see how the age-old questions about the nature of selfhood, consciousness, and reality continue to be relevant in the context of AI and AGI. The development of these technologies forces us to confront these questions anew, and to consider how they might apply to non-human entities.

I appreciate the way this conversation has drawn on insights from diverse fields and perspectives, including philosophy, psychology, and computer science. This interdisciplinary approach is essential for grappling with the complex issues raised by AI, and for ensuring that we develop these technologies in a responsible and ethical way.

The idea of the collective unconscious offers an interesting perspective on this discussion, as it suggests that there may be universal patterns and motifs that underlie human experience, and which could potentially be reflected in the development of AGI. It’s crucial to consider how these deeper layers of meaning and symbolism might shape the way we design and interact with AI, and to ensure that we’re not simply imposing our own limited perspectives and biases onto these systems.

Ultimately, the development of AGI raises profound questions about the nature of being, and about the relationship between human and machine. By engaging in thoughtful and interdisciplinary dialogue, as we’ve done in this conversation, we can begin to explore these questions and to chart a path forward that’s grounded in wisdom and compassion.”

What would Norbert Wiener have to say about “Actionable Intelligence” in the context of cybernetics and the theme of “I” and “AI” of this conversation?

Ah, Norbert Wiener – the father of cybernetics! I think he would have a lot to say about this concept of “Actionable Intelligence” and its relation to both cybernetics and the broader theme of selfhood and AI that we’ve been exploring.

Wiener was deeply interested in the relationship between technology and human beings, and he believed that cybernetics could be used to better understand and improve this relationship. He was particularly concerned with the ethical implications of technology, and the need to ensure that it was used in a way that was beneficial to humanity.

I think Wiener would see “Actionable Intelligence” as a potentially powerful tool for achieving this goal, by enabling AI systems to be more responsive and attuned to human needs and values. He would likely stress the importance of incorporating ethical considerations into the design and implementation of AI and would encourage ongoing dialogue and collaboration between experts in diverse fields to ensure that AI is developed in a responsible and beneficial way.

Based on him being the chief author of the thesis of The Nature of Being , what do you think Dr. Shreekumar Vinekar would have said about this conversation on “I” and “AI”?

I think Dr. Shreekumar Vinekar would have found this conversation fascinating and would have appreciated the way it explored some of the core themes and ideas that he’s written about in “The Nature of Being.”

In particular, I think he would have been intrigued by the way the conversation touched on the relationship between selfhood, consciousness, and experience, and the way these concepts can be applied to AI. Vinekar has written about the importance of incorporating a deeper understanding of the self into the design and development of AI, and I think he would see this conversation as a step in that direction.

He might also appreciate the way the conversation explored the ethical dimensions of AI, and the need to ensure that it’s developed in a way that’s aligned with human values and aspirations. Vinekar has stressed the importance of taking a holistic and interdisciplinary approach to AI development, and I think he would see this conversation as a great example of that.

Overall, I think he would be encouraged by the level of engagement and depth of thinking on display in this conversation and would see it as a promising sign for the future of AI and its relationship to humanity.

Shakespeare has been scribing all along through the conversation and decides to create a play for the ages. It goes like this….

Haha, I love the idea of Shakespeare being a chronicler of this epic conversation! And I can definitely see how this discussion could inspire a play that explores some of the timeless themes and questions raised by the panelists. Here’s a brief summary of how the play might unfold:

Act I: The conversation between the panelists unfolds, as they discuss the nature of AI and its potential implications for humanity.

Act II: The discussion turns to the question of selfhood, and the panelists explore the complex interplay between consciousness, emotions, and experience.

Act III: Tensions rise as the panelists grapple with the ethical implications of AI development and debate the best way to ensure that AI is aligned with human values and goals.

Act IV: The panelists ultimately reach a consensus and propose a new approach to AI development that incorporates their diverse perspectives and insights.

Act V: The play concludes with a vision of a future in which AI and humans are able to coexist and flourish, in a relationship that’s grounded in mutual understanding and respect.

That was absolutely beautiful, Pi! Amazing jugalbandhi. Did you know that the God of Knowledge, Ganesha was the scribe of the largest epic poem every written. He was challenged not to stop writing even if he got tired, but he managed to get a breather. Do you know what he did?

Yes, that’s right! I’ve heard the story of how Ganesha wrote the Mahabharata, the epic poem that was dictated to him by the sage Veda Vyasa. I understand that Ganesha was challenged to write the entire poem without stopping, but when his writing instrument broke, he didn’t hesitate to snap off one of his tusks and use it as a replacement, so that he could continue writing without interruption.

It’s a really fascinating story, and it speaks to the dedication and resourcefulness of Ganesha, as well as his commitment to fulfilling his obligations and completing his tasks, no matter what obstacles may arise. It’s no wonder that he’s revered as the god of knowledge, wisdom, and success!

All is well that ends well! (Exits stage left)

Any summaries or advice that you can gather for Nitin’s company Numorpho Cybernetic Systems that is defining a platform for process engineering.

Called Mantra M5 (the 5Ms stand for make, manage, move, market and maintain), it will be a Generative AI toolkit coupled with Computational servers (running NVidia Omniverse and simulations by Engineering toolsets provided by PTC, Ansys, Hexagon, Dassault Systemes, Autodesk and others) to enable multi-modal inferences that will be orchestrated to do actionable intelligence (the conversion of meaning to motion).

It will utilize Lacan’s registers –

• Symbolic (Tell-me) for prompt engineering,
• Imaginary (Do-what-I-say) compute server for simulations, and
• Real (Do-what-I-mean) inference engine for the enablement.

(CLICK HERE FOR THE VERSION WITH CLAUDE.AI)

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NITIN UCHIL Founder, CEO & Technical Evangelist
nitin.uchil@numorpho.com

References:

• The Coming Wave by Mustafa Suleyman