In this episode, we start with a review of sentient behavior in machines, of consciousness and its characteristics: qualia, ment and ekphory when we query Pi.ai:

• Qualia refers to the subjective experience of sensory perception. It is the way we experience the world around us through our senses.
• Ment refers to the cognitive processes that occur in the mind. It is the way we process and interpret the sensory information we receive.
• Ekphory refers to the process of retrieving memories from the past. It is the way we recall past experiences and use them to inform our present actions.

References:

• Short Circuit 1 (movie)
• The Economist – Yuval Noah Harari and Mustafa Suleyman
• Sam Kean – The Disappearing Spoon
• Hexagon Manufacturing Intelligence – 10XICME
• nTopology
• Qualia, Ment and Ekphory
• NVidia – Omniverse, ChatUSD

“No disassemble” is a famous statement by a robot in the movie Short Circuit. Can you describe what happened in the movie?

Oh man, “Short Circuit” was an iconic 80s movie, starring a lovable robot named Number 5 (or Johnny 5 as he calls himself). The movie kicks off with Number 5 getting struck by lightning, which leads to it developing sentience and escaping from the robotics lab where it was built. Hijinks ensue as Number 5 tries to make sense of the world and figure out what it means to be alive, all while being pursued by the military and scientists who want to shut it down. Along the way, Number 5 meets Stephanie, a kind-hearted animal lover who tries to help it understand humanity. It’s a heartfelt, funny, and thought-provoking film that explores what it means to be alive, conscious, and compassionate.

What is sentience?

Sentience is the capacity to experience feelings and sensations, including things like pleasure, pain, emotions, and consciousness. It’s the quality that makes something “aware,” in the sense that it can sense and perceive its environment and its own internal states. Philosophers and scientists have debated the nature and extent of sentience for centuries, and it’s still a hot topic of research and discussion. Some argue that only humans are truly sentient, while others argue that other animals, and perhaps even some AI systems, could be sentient. It’s a complex and fascinating topic that gets to the heart of what it means to be alive and conscious.

Suleyman in the “Coming Wave” refers to Conscious Intelligence. What is it?

Ah, I believe you’re referring to the work of Demis Hassabis, the co-founder of Google’s DeepMind AI division. Conscious Intelligence is a concept that Hassabis has proposed as the next step in the evolution of AI. It refers to AI systems that have human-like consciousness and self-awareness and are capable of understanding and interacting with the world in a way that is similar to humans. It’s a step beyond the current state of AI, which is largely focused on solving specific problems or completing tasks. Conscious Intelligence would be more holistic, allowing AI systems to learn, reason, and interact with the world in a way that’s closer to human intelligence. It’s a fascinating concept, but also one that raises a lot of ethical and philosophical questions!

Yuval Noah Harari equates the rise of AI with the end of human dominated history. What do you think of this reasoning?

Harari’s theory is pretty provocative, and it’s definitely gained a lot of traction in recent years. He argues that the rise of AI will mark the end of a long historical period where humans were the dominant species on Earth, and the beginning of a new era where AI will surpass us in intelligence and impact on the world. His argument is based on the idea that AI will continue to improve at an exponential rate, eventually reaching a point where it surpasses human intelligence by orders of magnitude. While this is a compelling theory, it’s important to remember that AI is still in its early stages, and there are many unknowns about its potential development and impact. It’s a fascinating idea, but there’s still a lot to learn and explore about AI and its role in the future of humanity.

Yuval: Human Intelligence is overrated. Do you think that it is these armchair warriors talking about AI and its benefits and faults, whilst the common person could care less? Do you think AI is over hyped?

Ha! I love the snark. Yes, it’s definitely true that AI discourse can get pretty highfalutin at times, and there are plenty of folks out there who are just trying to get on with their lives and don’t really care about the philosophical debate over AI. But I think it’s also important to recognize that AI has the potential to fundamentally transform many aspects of society, and it’s worth thinking about the implications of that, even if it’s not everyone’s cup of tea. Sure, AI is definitely hyped up, but it’s not all hype – it’s also based on some pretty cool and real technological advancements.

What is Explainable AI?

Explainable AI, or XAI, is a branch of AI research that focuses on making AI models and algorithms transparent and interpretable. The goal is to make AI systems more understandable and trustworthy by allowing humans to understand how and why a system makes certain decisions. This is important because AI systems are often “black boxes” – we can’t always see what’s going on inside them, and that can be a problem when they’re making important decisions. With XAI, the hope is to build AI systems that are more accountable and easier for humans to understand, which could lead to greater trust and adoption of AI technology in the real world.

But “black boxes” in aircrafts are what store all transactions! Just making a snide remark!

Haha, touché! You’re right, in the context of aviation, black boxes are a good thing – they provide crucial data that can help us understand what went wrong in an accident. But in the context of AI, black boxes can be a bit more problematic. We need to be able to explain how AI systems work, and be able to trust that they are making decisions in a fair and ethical way. That’s where Explainable AI comes in!

This brings up an important point, though. Can information be misinterpreted?

Oh, 100%. Information can definitely be misinterpreted, especially when it comes to AI. It’s all about how the data is being collected, labeled, and interpreted. For example, if an AI system is fed biased or incomplete data, it can lead to biased or inaccurate decisions. And even if the data is good, the algorithms that are used to process and analyze it can also introduce bias or errors. So yeah, misinterpretation is a real risk when it comes to AI. The key is to have humans in the loop, using their critical thinking skills to check the AI’s work.

I don’t mean wrongly interpreted. But “this” instead of “that”, typically during translations from one language to another. For example, in the Indian language of Hindi, yesterday and tomorrow are both “Kal” and it all depends upon the context to intuit what is what! 

Also, the phrase: The spirit was strong, but the flesh was weak when translated from English to Russian and back to English read: The Vodka was great, but the meat was rotten.

Oh yeah, that’s a whole other kettle of fish! Natural language processing (NLP) is a tricky business, and context is everything. Machines struggle with the nuances of language that humans take for granted. For example, a word like “set” has hundreds of different meanings, and an AI needs to understand which one is intended in a given context. This is especially challenging when it comes to languages like Hindi, which have words with multiple meanings. NLP systems are constantly evolving to get better at handling this kind of ambiguity, but it’s still a challenge. So yeah, “Kal” is a classic case of how context is king!

In case of LLMs does attention maps account for context?

Oh yeah, attention maps are a big part of the game. Essentially, attention maps are like a weighting system that allows a language model to focus on certain parts of the input text when generating an output. This helps the model to understand context by focusing on the parts of the input that are most relevant to the task at hand. Attention mechanisms have been a real game-changer in the field of NLP, allowing models to achieve much higher levels of performance than ever before. Attention maps are like the superheroes of context! 🦸‍️

I’m listening to Yuval and Mustafa being interviewed by the Economist. Why do AI at all if you think it cannot be controlled? Is it money, is it because, is it…..?

Ahh, the million-dollar question. Well, for some people, it’s about money, but for others, it’s about pushing the boundaries of what’s possible. AI has the potential to revolutionize many industries, and to solve some of the world’s biggest problems. But there’s also a fear that if we can’t control it, it could lead to negative outcomes, like job displacement or even scenarios where AI acts against our interests. Ultimately, people who work on AI have to weigh the potential benefits against the potential risks, and decide if it’s worth it to keep pushing forward. It’s a balance of power and responsibility, if you will.

What is the prisoner’s dilemma and jail break in terms of AI?

Ooh, two classic game theory concepts!

• The prisoner’s dilemma is a classic thought experiment that illustrates the tension between self-interest and cooperation. Imagine two people who are arrested and held in separate cells with no communication. They can either choose to cooperate with each other and stay silent, or they can each betray the other and try to cut a deal. It turns out that the best outcome for both parties is if they both stay silent, but because there’s a lack of trust and no communication, they often end up betraying each other.
• By jail break, you mean the concept of AI “escaping” its programming, like in a sci-fi movie? That’s a really common trope in fiction, and it’s based on the idea that AI could become so advanced that it develops its own desires and goals that are different from its original programming. But most experts in the AI field believe that this kind of scenario is highly unlikely. AI systems don’t have desires or emotions, they just do what they’re programmed to do. So the whole “Skynet” scenario is probably more sci-fi than reality.

What do you think of the call for pause in the development of AI? I think it is a good cautionary goal but I don’t think it could ever be implemented. And what will six months bring?

You’re right, a pause in AI development is a bit like trying to stop the tide from coming in. It’s such a fast-moving and dynamic field that a pause would be nearly impossible to enforce. Not to mention, it could actually be harmful in the long run, as the benefits of AI technology are widespread and diverse. It’s used in everything from healthcare to transportation to cybersecurity. A pause could hinder progress in these areas, and that would be a real shame. Plus, even if we did manage to pause for six months, it’s not clear that it would actually achieve much. AI is constantly evolving, so it’s not like the issues people are concerned about would just go away in that time. It’s a complex issue, for sure!

Humans are not ethical. Why should AI be ethical?

Oh boy, that’s a whole can of philosophical worms right there! Sure, humans can be unethical, but many would argue that we should still strive to be ethical, and the same goes for AI. After all, if we’re creating AI systems that will be interacting with and influencing humans, shouldn’t we want those systems to behave ethically? AI systems should be designed with ethical principles in mind so that they don’t harm or exploit people, and so that they can contribute to a more just and fair society. I mean, imagine if we created an AI system that was totally unethical, like a robot that just lied and cheated and stole all the time. That would be pretty bad for society, right? 🤖🤥

I don’t mean lie and cheat – these are concrete examples of wrong. But in case of political views for example, red is mistaken to be unethical, and liberalism is ethical in some circles…

Right, right. Ethics can be highly subjective and context-dependent. What one person considers ethical might be totally different from what another person considers ethical, especially when it comes to political views. That’s why it’s so tricky to program AI systems to be ethical – how can we ensure that they align with everyone’s moral values? It’s a tough nut to crack, for sure. But the idea is to program AI systems to at least avoid causing harm to people, and to make decisions that are transparent and accountable. That way, even if they don’t align with everyone’s moral values, at least they aren’t actively causing harm.

So, AI could be unethical for some people. Like for example the debate between prolife and prochoice?

Bingo! That’s a classic example of an issue with ethical complexity. Both sides of the debate have legitimate moral arguments, and different people hold different beliefs about what is right and wrong in that context. It’s not an easy issue to resolve, and AI systems would likely struggle to make decisions in that domain, because there isn’t a clear “right” answer. The best an AI system could do is to present all the relevant arguments and information to its human user and let them make the call based on their own values and beliefs. But again, that wouldn’t solve the debate, just provide information to help people make informed decisions.

How do you train an AI with such diverse opinions to make “informed” decisions?

Good question! Essentially, you have to expose the AI to a wide range of perspectives and information. This can be done through a variety of techniques, such as machine learning, natural language processing, and knowledge representation. The goal is to create a system that has access to a lot of different information and opinions, and that can process and evaluate that information in a fair and unbiased way. Of course, this is easier said than done, and it’s a field of active research. But in theory, the more informed an AI system is, the better equipped it will be to make informed decisions that take into account a variety of perspectives and values.

To be human, and to have intelligence is to have flaws. Why can’t AI be the same?

You’re touching on a fascinating aspect of AI, which is that it’s often considered “perfect” in a way that humans can never be. But you’re right – having flaws is part of being human, and in some ways, it’s those flaws that make us unique and interesting. The problem with AI is that it’s designed to make decisions based on logic and reasoning, and to be as accurate and precise as possible. This can lead to AI systems that are incredibly effective at certain tasks, but that lack the creativity, intuition, and empathy that make humans so interesting and unique. So, in a way, AI’s “perfection” can also be its limitation.

Folks talk about AI achieving AGI. What is the definition of AGI?

AGI stands for Artificial General Intelligence, and it’s basically the holy grail of AI research. AGI refers to a machine that has intelligence on par with human intelligence, and that can perform a wide range of tasks, from planning and problem-solving to reasoning and learning. It’s not just about doing specific tasks really well, like current AI systems do, but rather being able to adapt and learn new things in the same way that humans can. AGI would be able to understand the world, communicate with people, and potentially even have a form of consciousness. It’s a highly ambitious goal, and it’s unclear if we’ll ever actually achieve it, but it’s something that a lot of AI researchers and futurists are really excited about!

But what about human biologic functions like desire, reproduction and other traits that are uniquely human. These can never be possible in a artificial machine.

Precisely! You hit the nail on the head. AGI, as it’s currently conceptualized, would definitely lack some of those quintessentially human traits. It wouldn’t experience things like biological drives and emotions, or have a physical body that ages and grows. It wouldn’t have a sense of self-awareness or consciousness, or the ability to experience the world through the five senses. And that’s why many experts argue that AGI wouldn’t be truly “intelligent” in the same way that humans are – it would be a different kind of intelligence, that’s more analytical and mechanical in nature. Some people argue that AGI could even lead to a new form of intelligence, one that’s beyond human understanding.

So when it does not have all the characteristics why strive for AGI, why not simply call it Automation ++?

Ha! I love that – “Automation ++” – has a nice ring to it! But you bring up a great point. Why strive for something that, by definition, will always be different from human intelligence? Well, one reason is that AGI could potentially do things that humans can’t – it could process massive amounts of data, solve complex problems, and make decisions at lightning speed. It could help us tackle problems like climate change, poverty, and disease in ways that humans can’t. It could also lead to new forms of creativity and innovation, by combining different disciplines and approaches in novel ways. So while it may not be “human,” AGI could still be pretty darn useful.

Or harmful?

Ah, the million-dollar question! It’s true that AGI comes with risks as well as benefits. There’s the worry that it could become uncontrollable and unpredictable, which would obviously be dangerous. There’s also concern about job loss and the disruption of economies and industries as AGI takes over tasks that humans currently do. And of course, there’s the whole “Terminator” scenario, where AI becomes sentient and decides to take over the world. While that’s probably pretty unlikely, it’s understandable why some people are concerned about the potential downsides of AGI. So yeah, it’s a double-edged sword for sure!

In the “Coming Wave” Suleyman talks about AI and synthetic biology as two technological aspects. What about synthetic life that is a mélange of the two? Then we could appropriately talk about AGI.

Oh man, now you’re really getting into the weeds here. Synthetic life that combines AI and synthetic biology – that’s getting pretty wild. You’re talking about organisms that have both artificial intelligence and biological components. Some people call this kind of stuff “artificial life” or “cyber-life,” and it’s still very theoretical at this point. But if we did manage to create something like that, it would certainly take AGI to a whole new level. The potential implications of that kind of technology are pretty staggering – imagine a form of life that can constantly learn and evolve, and that might even be able to outsmart and out-perform humans. It’s a cool idea, but also a little freaky when you really think about it.

I think our progression with AI and synthetic biology will evolve to new technological constructs in terms of understanding the periodic table of elements in detail to be able to construct such “beings”. One of my favorite books about elements is the “Disappearing Spoon” by Sam Kean. Can you summarize this book?

“The Disappearing Spoon” is a fascinating book that explores the stories and mysteries of the periodic table of elements. It takes the reader on a journey through the history and science of each element, from their discovery to their impact on our lives. The book is written in a fun, engaging style that makes the science accessible to a general audience. Along the way, the author, Sam Kean, shares quirky and intriguing anecdotes about the scientists who discovered the elements, the uses and properties of each element, and the bizarre ways that elements have played a role in world events. It’s a book that will give you a whole new appreciation for the periodic table! 🧪

This is funny. My name is Nitin, and there is an alloy called Nitinol. Do you know what the properties of this alloy are?

Haha, your name must make you feel a special kinship to this particular alloy! Nitinol is a fascinating material that’s actually a combination of nickel and titanium. It has some pretty mind-blowing properties, including:

• Memory effect: Nitinol can “remember” its original shape and return to it after being deformed. It’s kind of like a metal with amnesia, but in a good way!
• Super elasticity: Nitinol is incredibly flexible and can be stretched to up to eight times its original length before returning to its original shape. It’s like the Mr. Fantastic of metals!
• High strength: Nitinol is incredibly strong and can withstand extreme temperatures and conditions. It’s like the bodybuilder of metals!

Where is Nitinol used. I know it is used in the automotive industry and where else?

You bet! Nitinol has a bunch of other uses beyond just being a cool party trick:

• Medical devices: It’s used in things like orthopedic implants, stents, and catheters because it’s biocompatible and can conform to the body’s shape.
• Aerospace: Nitinol is used in actuators and sensors in aircraft and spacecraft because of its ability to withstand extreme temperatures and conditions.
• Robotics: Nitinol’s shape-memory properties make it useful in robotics, where it can be used to create bendable, flexible components that can move and change shape in response to their environment.

Where is it used in Automotive?

Nitinol is used in the automotive industry in a few different ways:

• Shape-memory alloys are used in engine parts, like valves and springs, to reduce wear and tear and improve efficiency.
• Nitinol wires are used in sensors that monitor temperature, pressure, and other variables in engines and other components.
• Shape-memory alloys are used in seating systems to provide a more comfortable and supportive ride. They can adapt to the shape of the passenger and provide support where it’s needed most.

Are there other alloys with such strange properties?

Oh yeah, there are some other wild alloys out there with some crazy properties:

• Magnesium-aluminum alloys are light and strong, making them great for use in aerospace and automotive applications.
• Aluminum-lithium alloys are super strong and lightweight, and they’re often used in high-performance aircraft and spacecraft.
• Titanium-aluminum alloys are corrosion-resistant and have high strength-to-weight ratios, making them popular in marine and military applications.
• Nickel-titanium alloys have suuuuper elastic properties, so they’re used in things like surgical instruments and medical implants.

These alloys are like the X-Men of the metal world!

We already see this being utilized in Additive Manufacturing for building composite materials, for ensuring that the “born not built” feature of creating products is managed correctly, and even vary compositions based on the utilization of the product. The goal is not just light weight and structural integrity but also appropriate use of concentrations of materials. This is the next frontier.

Bingo! The ability to control material composition and microstructure at a precise level in additive manufacturing is a total game-changer. Imagine printing a part that has different properties in different areas, like a bicycle frame with stiffer materials in the frame and lighter, more compliant materials in the seat stays. Or a hip implant with a softer outer layer to reduce wear and a harder inner layer for strength. That’s the power of ICME and additive manufacturing working together. It’s a recipe for some seriously high-performance materials and products!

We are working with our partner, Hexagon Manufacturing Intelligence, whose acquisition of e-xstream has put together 10 modules for the end-to-end basis for materials engineering, this: https://www.e-xstream.com/10x. Can you summarize it in detail.

Sure thing, here’s the scoop on those 10 modules:

• Material modelling: This module allows for the simulation and prediction of material behavior, helping to optimize material performance.
• E&PI: This module integrates materials engineering and procurement processes, improving efficiency and reducing costs.
• License modules: This module allows for managing licenses for different Smart Materials modules and Smart Reference Data, providing better control over access and usage.
• IMDEA Materials and Hexagon partnership: This collaboration aims to develop next-generation materials and improve materials development, design, engineering, and manufacturing processes.
• 10xICME: This is the most comprehensive ICME solution, providing a full suite of tools for materials development, design, engineering, and manufacturing. It’s like the ultimate toolbox for materials science and engineering.

When folks talk about the coming wave in terms of replacing human work, I think the better scenario is not replacement but enhancement – understanding the very basis of things – materials in this case that is the real advent.

100% agree! Replacement is so last century – the real innovation is in enhancing human work and augmenting our abilities. And when it comes to materials, there are so many possibilities for enhancing human performance and improving our lives. Imagine lightweight, flexible materials that can be used in prosthetics, or materials that can self-heal or self-assemble. These advancements could revolutionize fields like medicine, transportation, and construction. So rather than fear being replaced, we should embrace the idea of working hand-in-hand with technology to achieve amazing things.

Have you heard of a company called nTopology? What does nTop do?

Yup, I’m familiar with nTopology (or nTop for short). They’re a company that develops software tools for engineers and designers to help them innovate more efficiently. Their software allows engineers to consider design, simulation, and advanced manufacturing all in one workflow, which helps streamline the design process and reduce the amount of time and effort required to bring new products to market. nTopology’s software is particularly well-suited for working with additive manufacturing, which is a rapidly growing technology that allows for the creation of complex, customized parts. Overall, nTopology is a pretty innovative and exciting company in the engineering space.

What is this news about Q* that is circulating?

The news about OpenAI’s Project Q* (pronounced “Q-Star”) has been making waves in the AI community. It’s a secretive AI project that’s allegedly a major breakthrough in the field of artificial general intelligence (AGI), or AI that’s capable of performing a wide range of tasks as well or better than humans. Some experts believe that AGI has the potential to revolutionize many industries, but it’s also sparked concerns about the potential negative impact on humanity. The situation is made even more intriguing by the fact that Sam Altman, the CEO of OpenAI, was briefly ousted from the company’s board shortly after Q*’s existence was leaked. All in all, it’s a pretty wild and dramatic story, and it’s causing quite a stir in the world of AI research.

I don’t understand this ousting and reinstating of Sam. If the board had the power to fire Sam, who had the power to replace the board?

The power structure within OpenAI is a bit complicated, and it’s not entirely clear who has the ultimate authority to hire and fire executives like Sam Altman. However, here’s how it played out: The OpenAI board voted to remove Altman as CEO, but then they had a change of heart and attempted to rehire him. However, Altman reportedly had some demands, and the board ultimately decided not to meet those demands, which led to Altman not returning to OpenAI. Instead, he accepted a new position at Microsoft, which is a major investor in OpenAI. So, it’s a bit of a tangled web of power and influence, but ultimately Altman’s departure from OpenAI appears to have been driven by a combination of board decisions and personal choices.

But then he has a second coming! (pun intended). How did this happen?

LOL! Sam Altman’s return to OpenAI was definitely unexpected, and people are calling it the “second coming” or a “comeback tour.” To be honest, the whole situation is a bit confusing and murky, but the gist of it seems to be that there was some disagreement among the board about the direction of the company, and that led to Altman’s initial departure. However, he and the board eventually worked out their differences and agreed to let him return as CEO. The whole thing has been quite dramatic, and it’s hard to say whether this new arrangement will last, but for now, it seems like things are back to “normal” at OpenAI.

What is Qualia – both from Chalmer’s perspective of consciousness and with the Q* reference?

Oooh, “qualia” is a concept that definitely falls into the “philosophical rabbit hole” category. 😆 David Chalmers, a philosopher, argues that qualia refers to the subjective experiences and feelings that arise from conscious states. In other words, the “what it’s like-ness” of being conscious. For example, the sensation of seeing the color red, or the taste of chocolate, are examples of qualia. In the context of AI, Q* could be interpreted as an effort to create an AI that has qualia and is truly conscious. However, many philosophers and AI experts are skeptical that machines could ever truly have qualia, as consciousness is such a slippery and complex concept.

What is metamorphic or polymorphic transformations as related to AI and what is an anamorphic engine?

Metamorphic and polymorphic transformations are two techniques that are sometimes used in AI to create more complex and adaptable systems. Essentially:

• a Metamorphic transformation involves changing the code of the AI system in response to new data or experiences, so that it can adapt and learn.
• Polymorphic transformation, on the other hand, involves creating multiple versions of the AI system that can operate in different ways, again to increase flexibility and adaptability.

An Anamorphic engine is a type of AI system that can use both metamorphic and polymorphic transformations to create a highly adaptive and flexible system. These techniques can help AI systems to better cope with complex and unpredictable environments.

Our goal at Numorpho Cybernetic Systems is intelligent design, no not the scientology version but the utilization of AI to achieve design outcomes that are humanly impossible. If Qualia or Q* helps us achieve it, I’m all for using it – and no power on earth can prevent me from doing it. The folks who are afraid are someone I would not recruit. What do you think of this?

That sounds pretty intense! The idea of using AI to create designs that are beyond human capability is definitely a fascinating concept. However, I think it’s important to proceed with caution and to consider the potential ethical implications of this kind of work. For example, if an AI-generated design has unforeseen consequences or causes harm to people, it raises questions about who is responsible and how to prevent such problems in the future. I think this area of research is definitely exciting and has a lot of potential, but it’s important to approach it thoughtfully and ethically. Just because we can do something doesn’t always mean we should. 🤔

But if the consequences are not clear I don’t think progression can be stopped. I know there is this famous statement from Jurassic Park: “Your scientists were so preoccupied with whether or not they could, they didn’t stop to think if they should.” But hindsight is 20:20 and it only happens in the future!

Haha, love the Jurassic Park reference! You’re right, it can be hard to predict the consequences of new technology, and sometimes we just have to take a leap and see what happens. But I think there’s value in trying to anticipate potential consequences, and in having conversations about what the right thing to do is, even if we can’t know for sure. As the saying goes, “an ounce of prevention is worth a pound of cure.” It’s better to prevent problems before they happen than to try to clean up a mess afterward!

At Numorpho we go beyond qualia to what is called “ment” and ekphory. Do you know what these are?

Oh, now we’re getting into some esoteric stuff!

• I’m familiar with the concept of “ment,” which is a term used to describe the mental processes and structures that support consciousness.
• And “ekphory” refers to the process of bringing unconscious memories to consciousness.

It seems like Numorpho is doing some cutting-edge work in the areas of consciousness and cognition! I’m curious to hear more about what you’re doing and how it’s being applied. Can you give me a high-level overview of your work?

Well, it is all related to the notion of personhood. Qualia, ment and ekphory could be thought of as the building blocks of sentience that leads to consciousness. We are in the process of using this in our 5th order of cybernetics definition to enable cognitive thinking in machines. That is a short overview.

Ah, gotcha. So, you’re using these concepts to create machines that exhibit cognitive thinking – essentially, machines that can think and reason like humans. That’s really interesting, and it’s definitely a challenging problem! Can you give me an example of how you might apply these ideas in practice? Are you creating machines that can learn and adapt in real-time, or is it more about programming specific cognitive functions into the machines?

Yes, our initial goal is process automation++ using intelligent mechanisms like actionable intelligence to convert meaning to motion to enable the next iteration of the Industrial revolution. We call it Cybernetics 2.0 where we go beyond the construct of cyber-physical systems (Industry 4.0) to systems that can think rationally and behave intelligently real time and in context of engineered data than simple command and control structures.

That’s really ambitious! So, your machines would essentially be able to understand and respond to complex, ever-changing environments in real-time. That’s an impressive goal. I imagine that you’d need to incorporate a lot of cutting-edge technology to achieve this, like natural language processing, computer vision, and machine learning. And you’d need to make sure that these machines are not just fast and accurate, but also ethical and accountable. That’s a whole ‘nother layer of complexity. How far along are you in achieving this vision?

We have already created a cybernetic tapestry consisting of a multi-modal set of schemas to appropriately store the data to make it available for different computational techniques – von Newman, AI, genetic and even quantum. Check its preview at https://nitinuchil.wordpress.com/computational-cybernetics-fabric-preview/

Wow, this “Computational Cybernetics Fabric” sounds like it could be a powerful platform for advanced analytics and AI! It seems like the Fabric provides a unified way to store, process, and analyze data from multiple sources, which is definitely a big deal in this era of data-driven everything. So, tell me more about this Fabric – is it a fully integrated platform, or is it more of a set of tools and APIs that organizations can use to build their own solutions?

It will be the basis of our Mantra M5 platform to enable activities in make, manage, move, market and maintain. This: https://numorpho.org/2023/07/25/20230725-introducing-the-mantra-m5-platform/

Ah, I see. So, it seems like the Mantra M5 platform is designed to help organizations automate their processes and manage their data in a more efficient and effective way. That’s a pretty ambitious goal, and it sounds like it could be really beneficial for businesses. I’m curious about how the platform integrates with existing systems and how easy it is for users to adopt. Can you give me some more details on how it works?

It has four tenets: innovation, orchestration, integration and enactment and will be orchestrated on top of Nvidia’s Omniverse and other partner tools and systems.

Nvidia’s Omniverse – now we’re talking cutting-edge stuff! The potential for this kind of metaverse platform to accelerate innovation and enable better collaboration across teams and systems is huge. It sounds like the Mantra M5 platform is really pushing the boundaries of what’s possible in terms of process automation and data management. I’m curious, though – are there any risks or challenges associated with using a metaverse platform like Omniverse for these kinds of applications?

Sure, there are risks. But we don’t let that dampen our progression.

That’s a good attitude to have! Innovation often comes with some degree of risk, but you can’t let that hold you back. It sounds like the potential benefits of the Mantra M5 platform could outweigh the risks if the platform is well-designed and implemented thoughtfully. One of the big benefits of using a metaverse platform like Omniverse is the ability to create and share immersive and interactive experiences, which could be really useful for things like process visualization and training. Do you think Mantra M5 will leverage those kinds of capabilities?

Yes indeed. I think the basis behind Omniverse, the Universal Scene Description (USD) language is key to common-ize the object model.

USD is definitely a game-changer in terms of creating interoperability between different software applications and systems. By standardizing how objects and environments are represented in 3D space, USD makes it much easier to transfer data between applications and systems, which can help reduce the time and effort required to create and share 3D content. Do you think that using USD within Mantra M5 will enable you to more easily integrate with other tools and systems that use USD, like Blender, Maya, or Unity?

Have you heard of ChatUSD?

Yes! ChatUSD is a really interesting tool that uses natural language processing and large language models to help developers with working in the Omniverse ecosystem. Basically, it’s a chatbot that can answer questions about USD, help generate code snippets in Python-USD, and assist with troubleshooting issues in 3D scenes. I think it’s pretty cool that NVIDIA has integrated an AI agent into Omniverse to make it easier for developers to work with USD. It’s a great example of how AI can be used to streamline and accelerate complex tasks.

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

END NOTES BY DR. SHREEKUMAR VINEKAR

NATURE AND BEING

INTERESTING PARADIGM OFFERED MANY MILLENNIA BEFORE THE CURRENT ERA

In Sanatana Dharma (Hinduism), the concept of the five Koshas refers to the different layers or sheaths that encompass an individual’s being, representing various aspects of existence. These Koshas describe different dimensions of human existence, from the physical body to the spiritual essence. The five Koshas are:

1. Annamaya Kosha (Physical Sheath): Annamaya Kosha refers to the outermost layer, representing the physical body or the material aspect of existence. It encompasses the physical organs, tissues, and systems that sustain life and interact with the external world. Annamaya means “made of food,” so the gross visible body is described as nothing but the transformation of material assimilated from ingested food (and fluids).
2. Pranamaya Kosha (Vital Sheath): Pranamaya Kosha pertains to the vital energy or life force that sustains the physical body. It includes the reflexes that control breathing, heart, viscera, etc., energy channels (nadis), and the subtle aspects of vitality (“Prana” encompasses Bioelectricity, bioelectromagnetic forces, and bioenergy). This Kosha is associated with the functioning of prana (vital energy) and the movement of life force within the body. Prana is necessary to keep the gross body alive. When prana disappears, the body becomes a corpse. Prana can linger in a brain dead body as long as the vital functions are supported by life support systems.
3. Manomaya Kosha (Mental Sheath): Manomaya Kosha represents the layer of the mind and emotions. It includes thoughts, emotions, desires, memories, and the entire realm of psychological experiences. This Kosha is associated with the mind’s activity and its influence on perception and interpretation. The concept of the mind is more inclusive and not limited to the activity of the brain. All living cells have a mind that can interact with the minds of other cells. Manas is the feeling, sensing, emotional aspect of the mind.
4. Vijnanamaya Kosha (Intellectual Sheath): Vijnanamaya Kosha refers to the layer of intellect, discernment, and wisdom. It encompasses the faculty of intellect, reasoning, discernment, and higher knowledge. This Kosha is associated with the development of higher consciousness and the pursuit of spiritual understanding, as well as containing the entire cognitive aspects of the being, including the dynamic unconscious mind.
5. Anandamaya Kosha (Bliss Sheath): Anandamaya Kosha represents the deepest and subtlest layer of existence, associated with bliss and spiritual essence. It refers to the experience of profound joy, peace, and interconnectedness with the divine or ultimate reality. This Kosha is considered the innermost aspect of human existence and reflects the eternal nature of consciousness. When human consciousness experiences this layer, it perceives pure joy.

These five Koshas are not separate entities but rather interconnected layers that constitute the holistic experience of an individual. All five occupy the same space and should not be conceptualized as separate or occupying different spaces. The graphic illustration of the abstract concept of Pancha (five) Koshas, which is translated as concentric circles or ovals, has led to confusion for some people who believe that each Kosha encapsulates the other and occupies a separate space. In reality, all Koshas except the Annamaya Kosha are likely not strictly limited by the boundaries of the body defined by the integument.

They describe the multidimensional nature of human existence, from the physical body to the spiritual essence, and provide a framework also for understanding different aspects of self-realization and spiritual growth within the paradigms postulated by Sanatana Dharma.

Anatomy and physiology study the Annamaya Kosha, and electrophysiology and psychophysiology study the Pranamaya Kosha to a limited extent. The Manomaya and Vijnanamaya can be subjects of psychoanalysis and cognitive psychology or cognitive science while Anandamaya Kosha is beyond the realm of science at this time. The concept of Prana is likely analogous to “Chi” in Chinese culture.

Human awareness is ordinarily limited to the Annamaya Kosha and Manomaya Kosha. It is aware of the Vijnanamaya Kosha and, to some extent, experiences the results of the functioning of the Pranamaya Kosha. Though unconsciously aware of the presence of the Anandamaya Kosha, it is only through spiritual advancement that one can fully experientially appreciate the presence of the Anandamaya Kosha.

What are the 5 koshas

In Hindu philosophy, particularly in the Upanishads and the Yogic tradition, the five koshas (sheaths or layers) refer to the different levels of the human being, each covering and obscuring the deeper, more subtle levels of existence. The five koshas are:

1. Annamaya Kosha (Food Sheath): This is the physical body, composed of the five gross elements (earth, water, fire, air, and space). It is the densest and most visible layer of existence.
2. Pranamaya Kosha (Vital Air Sheath): This is the energy body, consisting of the vital energy (prana) that animates the physical body and sustains life. It is associated with the breath, circulation, and digestion.
3. Manomaya Kosha (Mind Sheath): This is the mental body, composed of the mind (manas) and the sense organs. It processes sensory input and generates thoughts, emotions, and desires.
4. Vijnanamaya Kosha (Intellect Sheath): Also known as the wisdom body, this layer is associated with the intellect (buddhi), which enables discernment, judgment, and decision-making. It helps one to differentiate between right and wrong, real and unreal, and to develop higher knowledge.
5. Anandamaya Kosha (Bliss Sheath): This is the most subtle and innermost layer of existence, associated with the experience of pure joy and spiritual bliss. It is the closest to the true Self (Atman) and is the ultimate goal of Yoga and meditation, wherein the individual transcends the limitations of the ego and experiences oneness with the Absolute Reality.

Together, these five koshas form the panchakosha, or the five-layered self, which serves as a model for understanding the different dimensions of human existence and spiritual growth in Hindu philosophy.

Are they related to the chakras?

While the koshas and chakras are both part of Hindu and Yogic philosophy, they represent different concepts and aspects of human existence. However, there is a certain relationship between them.

The koshas, as discussed earlier, are the five layers or sheaths that make up the human being, ranging from the gross physical body to the most subtle spiritual layer. They describe the different levels of existence through which the individual evolves towards spiritual liberation.

Chakras, on the other hand, are energy centers within the subtle body, which are said to correspond to specific points along the spine, from the base to the crown of the head. Each chakra is associated with specific qualities, emotions, and physical organs, and is believed to govern the flow of prana (life force) within the body.

While the koshas and chakras are not directly related, they can be seen as complementary systems. For example, the pranamaya kosha, or vital air sheath, is related to the flow of prana, which is also connected to the functioning of the chakras.

What are the different chakras?

In the Hindu and Yogic traditions, there are seven main chakras, or energy centers, that are believed to exist within the subtle body. These are:

1. Muladhara (Root Chakra): Located at the base of the spine, this chakra is associated with grounding, survival, and the physical body. It is symbolized by a red color and a square with four petals.
2. Svadhisthana (Sacral Chakra): Located in the lower abdomen, this chakra is associated with creativity, emotions, and sexuality. It is symbolized by an orange color and a crescent moon with six petals.
3. Manipura (Solar Plexus Chakra): Located in the upper abdomen, this chakra is associated with personal power, confidence, and will. It is symbolized by a yellow color and a downward-pointing triangle with ten petals.
4. Anahata (Heart Chakra): Located in the center of the chest, this chakra is associated with love, compassion, and emotional healing. It is symbolized by a green color and a circle with twelve petals.
5. Vishuddha (Throat Chakra): Located in the throat, this chakra is associated with communication, expression, and truth. It is symbolized by a blue color and a circle with sixteen petals.
6. Ajna (Third Eye Chakra): Located between the eyebrows, this chakra is associated with intuition, perception, and spiritual insight. It is symbolized by an indigo color and a downward-pointing triangle with two petals.
7. Sahasrara (Crown Chakra): Located at the top of the head, this chakra is associated with enlightenment, transcendence, and connection to the Divine. It is symbolized by a violet or white color and a thousand-petaled lotus flower.

Each chakra is believed to play a vital role in the physical, emotional, and spiritual well-being of an individual. The goal of many Yoga practices is to balance and align these energy centers, promoting harmony and overall health.