Tag Archives: Anthropocene

Ex Machina ad Naturam; 

First Sapiens and the Anthropocene 

The First Sapiens is us. The ones whose history came to a quite end in November 2022. This is according to anthropologists and historian Yuval Noah Harari. The basis for his argument was that history, all of history as we know it has become quantifiable and digitizable, storable somewhere in the vast ecosystem of AI clouds, never to be challenged for its voluminous content and its meticulous accuracy. So, if he is right and history has ended, what are we left with? The now? Yes. The future? Yes! Can AI mine that future? No. Can it be trained to do so with its learning algorithms and billions of iterations? NO! Is the future different than the past? Yes. Exponentially so.  

Let me explain.   

We are heading into an era of human existence where a new form of intelligence will be needed, one that is far higher than anything homo sapiens has known. It’s the only form of intelligence that will save us and what remains of life on the planet. Unlike the minds that drove the First sapiens to built better weapons, better shelter and better living conditions, the new intelligence examines the ethos of these historic endeavors to determine if and how they have diminished our planet’s resilience and her ability to ensure the continuity of life. This is Gaian science, an entirely different level of scientific exploration which has remained in a dormant state that still hasn’t been defined, vetted, or validated. It is exponential in nature and it defies all existing scientific methods. It is a new form of planetary science that must examine the degree to which the First sapiens and his insatiable appetite for the modern life has damaged our planet’s ecology. It is the study of ecological collapse at the planetary level that moves at exponential speed and no algorithm or AI model created by the minds of First sapiens has the capacity to understand.       

Technology solutionists today believe that the refinement of their innovations will help us revolutionize our future. That is the view of the optimistic, brilliant, yet limited mind of the First sapiensSecond Sapiens, those who have a planetary-systems view of the future remain skeptical about how much digital technologies in their current form and content can contribute to stabilizing a world defined by mega-scale systems and exponential change. Nothing explains the binary nature of First sapiens better than the digital universe it has created. Information, which is the bloodline of the digital age in its elemental form, is binary. Computers store and process data using bits and bytes that can only be in two states: 0 or 1. The binary system has no innate intelligence; it merely allows for efficient manipulation and transmission of information that makes all digital devices from smartphones to supercomputers operate the way they do. Algorithms that run the world—from the largest supply chain spanning the globe to the world’s biggest financial trading platforms handling billions of dollars’ worth of transactions a day—are all encoded using binary sequences.

The digital age that has disrupted so much of our lives, for better or for worse, is fundamentally built on binary information storage and processing. It is the different combinatorials and iterations, the creative sequential and algorithmic programming, that give us the rich complexity of the world and its ever-expanding technology ecosystem as we know and experience it today. But what happens when the most advanced form of AI perceives patterns or objects that are nonexistent and altogether inaccurate? What happens when the computer models designed to help navigate the Anthropocene must do so with insufficient data from the higher-complexity science that is proprietary to that stage of development? Why do computer models still fail accurately to predict the annual rate of the rise of global temperature and of ecological collapse and how quickly polar ice is melting?

Based on past experience, there is little doubt that we can work out the bugs in the current systems of knowledge. We will find AI-based cures for all types of diseases by expediting the processing of genomic data and creating tailored treatment plans unique to each individual. But how do we know what the bugs are in a system in which its data is of a completely different order and remains emergent, changing unpredictably in real time? It took scientists over twenty years to map out the human genome, which makes it possible for AI to mine that data in a fraction of the time it took researchers to uncover it. What Earth-systems knowledge base can programmers use to establish reliable patterns that AI can mine so we can predict our future within reason? Unlike the current ways AI gathers data, will programmers be able to train their models to gather data from the future—data that doesn’t yet exist? AI could not create those tailored treatments derived from the genomic knowledge base if it weren’t for the extraordinary worldwide commitment to fund and support the Human Genome Project for over two decades. Similarly, AI’s role in helping us resolve problems in the Anthropocene epoch must be proceeded by investments and long-term commitments intended to quantify the nature of Anthropogenic ­– Gaian sciences. 

Much of this new science is yet to be uncovered, and, due to its complex and highly interdisciplinary and collaborative nature, patterns of its emergence remain greatly unpredictable. This becomes a challenge to computer programmers attempting to train their data models to follow identifiable patterns when the science that creates patterns has remained beyond quantification and far beyond the linear and binary grasp of First-sapiens intelligence. Due to what remains unknown in the Anthropocene, would computers hallucinate answers the way ChatGPT and other AI generative models do today, and would such hallucinations create more chaos and misinformation that would derail the upward progress we’ve made in moving the needle on the Gain sciences learning curve? If we acknowledge this as our new reality, then the question for technology solutionists becomes, How can we build predictive training models in the form of machine learning that help address Anthropocene issues from a knowledge base that has been greatly shaped, defined, and constrained by the deficient motivations of the First sapiens?  

I found two possible answers to that question in the work of two individuals who are not technology solutionists but think in systems. The first was from Harari who was quick to qualify what he meant by the end of human history based on his own perception of the evolutionary stages of Homo sapiens. In his 2017 book, Homo Deus: A Brief History of Tomorrow, Harari argues that we have sidelined deo-centrism, the worship of an outer god, in favor of homo-centrism, the worship of ourselves, and that the next stage of evolution would sideline homo-centrism in favor of data-centrism. In interviews and lectures he has given since the release of the different large language models, Harari defends his views on the end of human history by claiming that the operating system of human culture is language. It is from language that we have created human narratives such as myth, law, art, and science, and these are the things that build civilizations. By gaining mastery of language, Harari believes that AI has acquired the master code to human civilization. In some sense, this development could represent what has long been feared and debated: a concept known as the technological singularity in which machine intelligence surpasses human intelligence and forever changes the trajectory of our future. 

Unlike past narratives depicted in science-fiction movies, large language models are not violent machines that subjugate human civilization through blood and gore. Rather, they do it through soft skills that affect the mind. They do it by telling alternative stories generated by their algorithms that first and foremost seek to maximize profits and valuations for the companies that create them. The end of human history based on this data-centric narrative is far more dystopian than science fiction can imagine. It will be brought about by us, disintegrating from within. Generative AI, like its younger kin, social media, will continue to exploit our weaknesses, our biases, and our addictions. It will continue to assemble language that vastly expands our social and political polarization, undermines our mental health, and unravels our democracies. Without wise regulatory structures that see through the mirage of technology and learn how to transcend and use it wisely, human history could end the way Harari defines it. 

In my work in human and social development, a humanity that is data-centric, in a free-market economy that monetizes data, is nothing more than an extension of free market ethos operating without government supervision. Before large language models, language spoke to different people and different cultures at all stages of development. We fought against the dark forces of the unhealthy side of these stages to unshackle ourselves and move up to higher levels of psychological freedom. This is the nature of the evolutionary process that enables our spirit, our never-ending quest to continue. It does not signify the end of human history; it is the transcendence of First sapiens, more specifically, stage five in First sapiens development that seeks to manipulate the world its reductive sciences and algorithmic modeling.  

In order for us to tap into Second sapiens intelligence, there needs to be a global ecology of wise governance that is in tune with our environmental and digital challenges, and not beholden to the values of the industrial age and neoliberal economics. The ideal candidates for this crucial transition will be those who see the simplicity beyond the algorithmic complexity. Tristan Harris and Aza Raskin, the cofounders of the Center for Humane Technologies, along with the 1,100 technologists who in March 2023 asked our government to place a moratorium on AI development, will be ideal candidates that fill the technology regulation part of that form of governance. Becoming part of that complex adaptive system can transform the end of human history into informational units that serve the Anthropocene. 

Harari’s narrative on the evolutionary sequence of Homo sapiens led me to search the unpublished archives of Clare Graves, the academic behind the model I use in my work. I wanted to explore his views on technology and the role it plays in our psychosocial, evolutionary process. That is where I found the second answer to my question of how we can build predictive training models in the form of machine learning from a knowledge base constrained by the deficiencies of the First sapiens. Unlike Harari, Graves was very cautious in predicting the precise details of our future, especially when that future entails our ascendence into GaianSecond-sapiens intelligence known for its exponentially higher degrees of neurological and psychological activation. Here is the place where we  must examine the failures inherent in the reductive First sapiens sciences that have contributed to ecological collapse.

  

Graves believed that while human development in stage seven in the table above, will represent an exponential growth in intelligence, technology will only be a quantitative extension of the lower stages of development. He made that prediction in the late 1970s.  In examining how his hypothesis has withstood the test of time, one might think that advancements in artificial intelligence and machine learning that were beyond Graves’s grasp at the time would have rendered his thinking obsolete, but that may not be the case. As complex as the digital world is today, with all its complicated iterations and the various creative programming that gives it form, the best it can do is mine knowledge of our human experience that is part of our present and our past. Even with its predictive powers, it cannot give us a reliable, nonlinear representation of the future, especially if that future represents a partial reversal of the past and is defined by an exponentially higher level of psychosocial intelligence that seeks to preserve what remains of planetary life. 

Generative AI and other forms of machine learning will continue to expand our intellectual rigor and raise our cognitive intelligence. They will even help us articulate some Second-sapiens concepts, but these improvements are quantitative and will come at a high cost; that is, the more machine learning we rely on, the more we will lose our uniquely human qualities. Virtues such as emotional and spiritual intelligence become diluted in an ecosystem designed for a data-centric society. We are becoming less and less equipped to handle uniquely human problems at a time when we most need to do so. Ultimately, when the time comes to transcend the ideology of data-centrism, we will realize that the idea of technological singularity in which machine intelligence surpasses human intelligence is a fallacy and that AI will reveal to us what Homo sapiens is by revealing the things it cannot do. 

The more our Anthropogenic reality comes into focus, the more it will become necessary for us to reverse the corrosive aspects of our present and past and create new ways of being and thinking. The intelligence that defines those virtues is just beginning to emerge and will eventually serve as the new reservoir of knowledge in which machine intelligence is recognized for what it is—a utility subordinate to the human wisdom that helps all life forms on the planet survive and thrive.   

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Second Sapiens, a Book Eight Years in the Making

Eight years and four months ago, my late friend Don Beck and I sat in my living room discussing the future of humanity and how Spiral Dynamics, the development model he created can remain relevant in the face of so many existential problems. We both recognized two outsized systems that will define the future. The first was the post WWII architecture and the systems created by the modern mind going through different stages of entropy, and the second was our collective inability to address social and ecological collapse.

We had discussed these issues many times before as we both concluded that the basic mechanics of our model needed structural changes for it to remain on the leading edge of change. Between coffee sips that morning my friend inquired about any insights I might have had into the nature of these changes and my response was that it couldn’t be done without repurposing the leading edge of human intelligence known in the model as Second Tier. Just as he did in October of 2009 when he nudged me into writing the book MEMEnomics, that morning my friend was nudging into repurposing the leading edge of human intelligence. “You don’t have to call it second tier. Call it something else,” he said.

That was the moment that marked the birth of the concept of Second Sapiens.

Just like the wicked problems this book attempts to address, writing it was an eight-year odyssey full of setbacks, unpleasant distractions and sorrowful events. In 2017 I set my work aside for a few years to care for Elza. At the same time Don Beck became occupied with taking care of his wife Pat. It wasn’t until after I wrote the book The Light of Ishtar and Don’s passing that the space opened up for me to finish it. Then came the bankruptcy of the two publishers who had agreed to published it and the unexpected passing of my literary agent. By the time my new publisher was ready for release it, Elza passed away and the date was postponed one last time.

In hindsight, the earlier delays were a blessing in disguise as much of the science behind the research I had done before 2020 did not withstand the test of time. This fact alone became the crucible on which much of Second Sapiens concepts were built and from which will come the repurposing of the Spiral Dynamics-Gravesian model. Based on our failure to address macro and mega scale issues, the narrative builds a new theoretical framework that calls on us to transcend human intelligence and embrace the complexities inherent in Gaian intelligence.

The recent destruction in Los Angeles is just the tip of the iceberg of what is to come that will lay waist to many human-built systems and render most of them obsolete. The present structures of FEMA and the insurance industry will be among the first to experience obsolescence.

Mother Nature is not mean. She’s just reaching homeostasis after human activity forced her past certain tipping points. We need to understand those dynamics and be in awe of them if humanity is to survive the Anthropocene epoch and thrive in the Gaian epoch. This is what Second Sapiens is all about.

The book opens the possibility that a new seed of knowing can be regenerated and nurtured in the Gaian epoch of the Second Sapiens.”

Marilyn Hamilton, PhD.

The book is dedicated to Elza, Don and Clare Graves, the three sapiens who set my mind and soul on fire. A big thank you goes to my friend and colleague Dr. Marilyn Hamilton for writing such a moving and insightful foreword. Marilyn walks the walk in being one of the few evolutionary leaders practicing at the Gaian scale. Her generous spirit and big Gaian heart are a testament to the transformative future of our species. For that, I am forever in her debt.

The few thought leaders who read an advance copy of the book consider it ground breaking work and a manifesto for the future. It is available from Amazon or any book seller. Please share this post widely, read the book, and let the epoch of Second Sapiens begin.

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Viewing Humanity from Jupiter

This post was prompted by a recent debate in our developmental community about the nature of leadership needed in the Anthropocene. This is the human development stage that possesses full ecological awareness of Earth’s systems, but represents less than 3 percent of the world’s intelligence today.  It is one of two stages in the Gravesian bio-psycho-social conception that represent the second highest stage of human development, stage seven. The other, stage eight, represents less than 1% of human intelligence and is the highest stage uncovered by Clare Graves’ research. Together the two represent the values of the second tier, what is commonly referred to in the Gravesian – Spiral Dynamics community as the emerging values of humanity. (See model details here).

Much of the conversation in our community today points to the failure of the 7th level system to address existential problems, from political instability and war to environmental issues and everything in between. While that might be true to the way we understand the system’s leadership today, I don’t believe our problems are beyond Graves’ conception the way he envisioned it five decades ago. To me, what we’re witnessing today is part and parcel of the chaos and entropy of the entire First Tier that contains the lower six stages of human and cultural development we have gone through, what Graves called the values of a deficient humanity. Because of our failure to address higher order challenges such as climate change, ecological collapse, and loss of biodiversity at the right time, this stage has become a necessary sequence in the development process, a collective dark night of the soul, so to speak before we can move to second tier intelligence. It will be planetary in nature the way Graves envisioned it, an important theoretical aspect that was sidelined by the subsequent interpretations of Graves’ work, primarily Spiral Dynamics and Integral Theory.

Graves had labeled these two most advanced stages of our development as existential in nature, charged with dealing with macro systems such as world population, environmental degradation and matters of scarce resources. Beck and Wilber watered down Graves’ second tier intelligence by limiting it to human-built systems, or in the case of Wilber, falsely using the model to create a third tier in order to transcend physical existence. It is the human-built systems that are in collapse, which are in turn causing the collapse of natural systems. This mega state of chaos and entropy is part of what I call the Great Obsolescence that takes up 3 chapters in my upcoming book expected to be released in early 2025.

Graves was calling attention to all issues existential in the 1970s. This was the time when systems thinking was born. His concerns were similar to those of Donella and Dennis Meadows, two of the authors of the landmark book Limits to Growth and to James Lovelock and Lynn Margulis the authors of the Gaia Hypothesis and many other systems thinkers like him at the time. Bringing back Graves original conception of these two stages is at the heart of my new work. It accounts for the changes in Life Conditions, which is half of the entire model that makes it dynamic and infuses it with advancements in systems thinking that have taken place over the last five decades. Over that period of time, his life long work has moved from what academics called works of prophecy, to where it is today; a confirmation of an undeniable reality.

Graves’ Second Tier is Existential because First Tier has destroyed our ecology, and in the process triggered the collapse of an exponentially higher order, non-human system; Nature.

My research into Graves’ archives has uncovered that the “Existential” label was driven by the urgency for us to understand the exponentially higher order dynamics driven by what I call “Natural Intelligence.” In essence, we have to mimic Nature in every fractal of existence, from politics, governance, commerce, and everything in between in order for us to have a chance at survival. This is the “reversal” that Graves spoke of; the reversal of much of what we have taken for granted since the first stage emerged 100,000-200,000 years ago. Graves’ trepidations about our ability to ascend to these existential values was captured in a conversation he had with his successor Don Beck in 1980 when he told him that he feared half of the world population will disappear before the world can be stabilized at second tier. Beck shared that prediction with me two decades ago, but only made it public in the 2018 book Spiral Dynamic in Action. According to the latest research, and in spite of all the technological advancements we made, it is believed that number is closer to 70% of today’s world’s population, which is almost double what it was in 1980.

It took me a while and much research into Graves’ archives to figure out why he labeled stage eight, the last known stage in his model as a restrictive existential system as well. If you can imagine what life would be like in a post-collapse scenario, or in what we have to do to successfully mitigate the effects of climate change, the survival of what remains of civilization has to follow an ecological alignment that way Mother Nature conceived it billions of years ago. The restriction is to that and not to some arbitrary ruler claiming the best interest of his/her constituents. It’s a conformity to the dictates of the exponentially higher intelligence of the natural world into which human nature must be subsumed. This scenario must be followed if we’re to ensure the survival of what species remain. In my new book, I call these new conformist values the Gaiametry Protocols and I spend another 3 chapters detailing them. 

In 2016, I had a conversation with Beck about the Marco and Mega systems problems we’re facing. At the time, I wanted to understand them as part of the VUCA craze, an aspect of the human intelligence that thrives on its own sense of exceptionalism and superiority. The issues fell into three distinct categories that have only grown in magnitude since. They were:

  1. The entropy of the post WWII world order driven by what is now becoming a universal fallacy of peace through commerce and the era’s now-outdated geopolitical and financial architecture. 
  2. The pervasive and systemic disruption brought on by the digital age and the rise of artificial intelligence. 
  3. Our utter failure to address climate change effectively. 

Beck’s response to my concerns was that I wasn’t zooming out far enough. “You need to see these existential issues from Jupiter” he told me.  It is by seeing these issues from Jupiter that I was able to articulate The Great Obsolescence.

As cruel as it seems to remain emotionally detached from the ravages of wars and environmental degradation, seeing these issues from Jupiter reminds me of my guru’s response to the death of 250,000 people in 2004 in the aftermath of the Indian ocean tsunami. When prompted for a spiritual meaning of what happened, he responded saying: “It’s Shiva and Shakti playing soccer on higher planes.”  While that death toll is far less than the 5.6 billion people projected to die because of our failure to address climate change and ecological collapse, we have to remind ourselves that this is Mother Nature’s way of restoring ecological balance and reaching homeostasis in the largest system we’ll ever be tasked to understand. It is that understanding of natural intelligence that operates outside human intelligence and is exponentially superior to it. This is what we must embrace. These are the Second Tier values that transcend human-built systems and preserve humanity and what remains of life on the planet.  

Credit for featured image “punic wars.” English Plus Podcast. https://englishpluspodcast.com

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