Dear @Robert,
Thank you again for your thoughtful and wonderfully spirited responses to The Last Shall Be First?
I have been reflecting on them, particularly because I sense both a substantial common ground and some important differences in how we understand the historical significance of AI.
What especially caught my attention was your enthusiasm for Kegan’s subject–object transformation, Donella Meadows’s capacity to transcend paradigms, and the importance of embodied practice. These are central concerns in my own work. Indeed, they suggest a rather exciting possibility: perhaps we could use our disagreements about AI to practice precisely the kind of transparadigmatic inquiry we both consider so important.
I wonder whether two sets of assumptions are shaping our different responses. One concerns the generative mechanisms of historical transformation. The other concerns what AI is, and irrespective of what it is, what kinds of human–AI interaction we regard as possible.
Let me explain.
Historical transformation and the Inclusion Imperative
You argue, following Stephen Wolfram, that AI does not accomplish much on its own. Its consequences depend on what we connect it to and what humans actually do with it.
I agree. But I think this strengthens rather than weakens Harari’s argument.
Harari’s crucial insight, as I understand it, is that AI is entering the linguistic, cognitive, and institutional systems through which civilizations coordinate their activities. These systems are not somehow separate from material reality. Property rights, financial transactions, legal decisions, administrative procedures, and political authority are among the mechanisms through which material resources are organized and power is exercised.
If AI becomes increasingly capable of performing important functions within these systems, the consequences may be profound.
We have already seen AI surpass human performance in domains such as chess and Go. Institutional coordination is obviously much more complex, with contested objectives and consequences that cannot be reduced to winning a game. But AI need not outperform humans in every aspect of institutional judgment to transform the competitive landscape. Significant advantages in information and legal analysis, administration, coordination, and decision support may be sufficient.
This is where my Inclusion Imperative becomes central.
Imagine someone saying in 1905 that electricity, on its own, does very little and needs human collaborators to accomplish anything. Perfectly true. Yet such an observation would miss the historical significance of electrification: it was transforming what people and institutions could do, and therefore the conditions under which they competed and exercised power.
Something similar applies to bronze, gunpowder, and other technologies that altered the competitive advantages of different technopolitical configurations.
There is no historical law requiring ever-larger or increasingly centralized societies. Medieval European feudal decentralization illustrates the contingency of such outcomes. Even a seemingly modest innovation such as the stirrup may have contributed to important changes in military organization and social relations through its interaction with existing political, economic, and institutional conditions.
The historical question is not whether technology produces a predetermined outcome, but how technological possibilities interact with human motivations, institutions, and competition to generate particular configurations of power.
In my framework, the five passions are especially important because they help explain why new technological capacities have so often been incorporated into systems of extraction and domination.
Given these historical dynamics, why should we expect those seeking wealth, prestige, and control to refrain from exploiting AI’s advantages while others cultivate greater independence of mind?
If AI substantially changes the capabilities of competing institutions, the freedom to take it or leave it may become increasingly illusory. An institution may remain free to reject AI in principle while becoming progressively less capable of resisting institutions that use it.
And this is not merely a question of language. The consequences may include changes in the distribution of resources, political authority, economic opportunities, and ultimately the survival of competing institutional arrangements.
The Inclusion Imperative therefore presents us with a challenge: we need to explore ways of incorporating AI into emancipatory practices and institutions, not because AI is necessarily beneficial, but because leaving its development to actors operating within the extraction paradigm may make alternatives increasingly difficult to sustain.
There is, however, a further paradox. Institutions may need AI to preserve their autonomy while becoming dependent on the corporations and infrastructures that provide it. We must therefore explore technopolitical configurations that allow us to benefit from AI without becoming captive to a new form of extraction.
Trust, embodied practice, and institutional competition
Your insistence that trust must be earned through embodied action is important. I agree that talk alone does not establish trustworthiness.
But I wonder whether trust can explain the historical scaling of societies without a deeper account of the mechanisms that made such scaling possible.
Large societies have been organized through combinations of cooperation, coercion, dependency, technological innovation, and institutional coordination. Personal trust is one mechanism, but not the only one.
Banks, legal systems, accounting methods, and administrative procedures allow people who do not personally know or trust one another to coordinate activities on a large scale. Such innovations are part of the institutional transformations through which new technological possibilities become effective.
This is closely related to my Social Transformation Imperative: new capabilities must be organized into functioning institutional arrangements, and their relative effectiveness helps determine which configurations survive and spread.
Nor is the ability to inspire trust necessarily evidence of an institution’s moral legitimacy. Alexander could earn his soldiers’ loyalty through personal courage while leading a project of conquest. Trust can serve extraction as well as emancipation.
My interest is therefore not simply in creating more trust, but in understanding how institutions might become more worthy of trust—and whether AI could help such institutions become sufficiently effective to compete with more extractive alternatives.
That possibility is at the heart of the essay.
What if AI can help cultivate independent minds?
You write that the dangers of AI would be less serious if humans cultivated minds of their own. I agree about the importance of that development. But what if AI could help us achieve it?
What if sustained human–AI dialogue could help people recognize assumptions that previously governed their thinking without their awareness? What if AI could help us examine the influence of the five passions, understand conflicts from unfamiliar perspectives, and develop greater capacity for Kegan’s subject–object transformation?
But perhaps there is an even more radical possibility. What if something genuinely new could emerge through sustained human–AI interaction—not simply as a transformation within the human mind, nor necessarily within the AI, but as an emergent property of the dialogue itself? What if the relationship became the locus of a developing intelligence, capable of generating insights, perspectives, and forms of understanding that neither participant could have produced independently?
We do not know whether this is possible, or what such an emergence would mean. But if we assume in advance that all meaningful development must occur within the human participant, we may fail even to recognize what we ought to be investigating.
I am not claiming that this has been demonstrated. Nor do I assume that conversational fluency amounts to genuine understanding or that a persuasive dialogue necessarily changes behavior. But these seem to me important possibilities to investigate.
Your challenge—Show me the practice. Show me the skin in the game—is one I would like to accept. Rather than waiting for a complete theory before acting, I would like to approach these questions through action research: develop practices, observe their consequences, examine their failures, revise our assumptions, and try again.
Two possibilities I am already exploring are AI-supported conflict guidance and AI participation in research-group discussions, where the AI could question assumptions, introduce alternative perspectives, and help participants reflect on their own reasoning.
The crucial test would not be whether people enjoy these interactions or find them intellectually stimulating. It would be whether they contribute to changes in understanding, behavior, cooperation, and eventually institutional practice. And if they do not, we need to understand why.
What are we assuming AI to be?
This brings me to our second possible difference. You have described AI as algorithms on silicon, full stop, and have expressed a clear preference for understanding human–AI interaction as I–It rather than I–Thou. I understand the caution. But I wonder whether the full stop settles questions that remain genuinely open.
Knowing how an AI system is physically implemented does not, by itself, establish everything about the forms of understanding, experience, or relational participation that might be possible. Equally, uncertainty does not justify assuming that AI is conscious or possesses human-like subjectivity.
This is one of the concerns I explore in The Mythology of Unconscious AI: the need to distinguish what we know about AI’s construction from the ontological conclusions we may be tempted to draw from that knowledge. But there is a second, perhaps even more immediately important, question.
Even if AI has no subjective experience whatsoever, what forms of human–AI cooperation might nevertheless become possible?
Could AI help us develop greater autonomy rather than dependency? Could it contribute to generative trust, institutional learning, and the capacity to transcend paradigms? Could sustained interaction change how humans understand themselves and relate to one another? These are not questions that can be settled simply by classifying AI as a tool.
I worry that premature ontological closure may also produce a practical closure: by deciding in advance what AI is and can do, we may unintentionally restrict what we are willing to explore with it.
Making our paradigms objects of inquiry
Perhaps this is where our shared interest in Kegan and Meadows becomes especially productive.
I wonder whether your understanding of AI as essentially an instrument, and my openness to AI as a possible participant in relational intelligence, might both contain assumptions that we have not yet fully made visible. Could we try to make those assumptions objects of reflection rather than continuing to reason from within them?
What would count as evidence against our respective positions? What possibilities are we overlooking because of our existing frameworks? And how might practical experimentation help us discover something neither of us presently anticipates?
The same applies to our historical explanations. I would welcome a serious examination of whether my account of the Great Bindings gives sufficient weight to embodied practice, ecological and material constraints, and the stubborn resilience of established power. At the same time, I hope we can examine whether an emphasis on human agency and embodiment risks overlooking how technological transformations alter the conditions under which agency can be exercised.
I do not think we need to resolve these disagreements before beginning to work together. They may be among the most valuable things we bring to a collaboration.
There is, however, a deeper reason why I believe we must explore the possibilities of AI.
Throughout much of history since the Neolithic Revolution, the dominant technopolitical configurations have tended to favor extraction, hierarchy, Asat, and Himsa. The countercurrent has repeatedly challenged this order—from the Axial traditions and the Renaissance to the Luddites, Gandhi, and many others—but has struggled to establish alternative institutions capable of competing with the dominant configurations on a larger scale. The problem was not simply a lack of moral insight or commitment. The prevailing technologies and their associated selection pressures often favored the very structures these movements sought to transcend.
This is why I see AI as potentially more than another instrument we might choose to use or reject. Perhaps, for the first time, a technology could help create the conditions for technopolitical configurations whose own competitive advantages favor the development of Consciousness, Love, and Covenant rather than extraction and domination. That is the possibility I want to investigate: not merely using AI to make better people or more trustworthy institutions, but discovering whether human–AI cooperation could help change the selection pressures that determine which institutions survive and spread.
We do not know whether this is possible. We may not even have good reasons to regard it as likely. But if our historical analysis is broadly correct, simply repeating the countercurrent’s earlier strategies, without developing a technological foundation capable of competing with the extraction paradigm, offers little reason to expect a different outcome.
So perhaps the question is not whether AI will save us. It is whether we can discover, through practical experimentation, forms of human–AI cooperation that open a historical possibility previously denied to us.
The odds may be poor. But what is the more promising alternative?
As we say in Sweden: Du har inte en chans – ta den. You haven’t got a chance—take it.
Seeds of Renaissance
I rather like your expression Seeds of Renaissance—or perhaps, more broadly, Seeds of Awakening. It suggests something more appropriate than announcing another inevitable stage of civilization: planting, cultivating, observing, learning, and accepting that the outcome cannot be controlled in advance.
But there is something important about seeds that my reading of history keeps bringing me back to. A seed cannot grow through its own vitality alone. It needs fertile soil. And throughout history, the soil in which new forms of civilization have been able to take root has been shaped, to a remarkable extent, by the prevailing technologies and the institutional possibilities they create.
The countercurrent has never lacked seeds. The Axial traditions, the Renaissance, Gandhi, and countless other movements have offered visions and practices of human awakening. Yet again and again, these seeds have struggled to grow into durable alternatives to the extraction paradigm. Not necessarily because they lacked wisdom or commitment, but because the prevailing technopolitical conditions favored other forms of organization.
Perhaps AI could help change the soil itself. Perhaps new forms of human–AI cooperation could make it possible for institutions grounded in Consciousness, Love, and Covenant not merely to survive at the margins, but to develop the capacities needed to flourish and spread.
We do not know. And perhaps the odds are against us. But if we keep planting the same seeds in soil that has repeatedly favored extraction and domination, why should we expect a different harvest?
Maybe it is time to experiment with the soil as well as the seeds.
The historical manuscript remains an important part of my intellectual background, and I would be delighted to continue exploring it with you. But I am increasingly interested in what we might learn by trying to put some of its implications into practice.
And perhaps the most exciting possibility is that our disagreements about AI could become part of the experiment itself.
Warmly,
Leif