Can Meaning-Based A.I. Solve the Meaning Crisis?
The meaning crisis is often spoken of as if something essential has been lost. Many look outward for solutions, hoping for new systems, new ideas, or even new technologies to restore what seems absent. Yet meaning may not be something that can be found in this way. In this blog, we explore whether meaning-based A.I. Read the full article…
Human Symbols vs. Symbolic A.I.
A symbol can seem simple. We use the word easily, almost casually. Yet beneath it lies a deep ambiguity. What a symbol is in human experience and what it is in symbolic A.I. differ so deeply that using the same word for both can be misleading. This difference is not merely technical. It touches how Read the full article…
Coherence Metrics
Coherence is a word that feels both familiar and elusive. Many people sense when something is coherent, even before they can explain why. At the same time, when asked to define or measure it, things quickly become less clear. This blog explores that tension. It shows how coherence can be approached scientifically without reducing it Read the full article…
From Neuro-Symbolic to Meaning-Based A.I.
Neuro-symbolic A.I. represents an important step beyond purely statistical models. Yet it may not go far enough. Beneath both neural and symbolic approaches lies a deeper layer where meaning emerges through coherence. This blog explores a shift toward that layer — not as an addition, but as a different way of understanding intelligence itself. From Read the full article…
Normal may be Unreal, Not OK (Anymore)
Most of what we call ‘normal’ feels self-evident. It surrounds us, shapes us, reassures us. It is what we return to without thinking too much about it. Yet this blog invites a different look. Not to reject normality outright, but to see it more clearly — perhaps uncomfortably so. What appears stable may turn out Read the full article…
Beyond Kahneman: Rethinking Fast and Slow
Daniel Kahneman’s book “Thinking, Fast and Slow” (2011) was a landmark in the study of how human thinking operates. His distinction between fast and slow thinking has shaped how we understand the mind. It clarified the limits of human rationality and showed how intuition can mislead us. Yet, as powerful as this framework is, it Read the full article…
From Coherence to Intelligence
Coherence is a word that feels familiar. Most people recognize it when they encounter it — in a conversation that flows, in an idea that ‘clicks,’ or in a person who feels internally consistent. Yet when asked to define it precisely, something seems to slip away, almost as if it resists being captured. This blog Read the full article…
Intelligence from the Inside Out
What if intelligence is not what it seems? We often think of it as something we possess, something visible in reasoning or problem-solving. Yet this view may only touch the surface. Looking from the inside out, intelligence appears less as a thing and more as a process — something unfolding within us, largely beyond our Read the full article…
Open Letter to Jeffrey Sachs
Humanity stands at a strange crossroads. We are more knowledgeable than ever yet often seem less able to act wisely with that knowledge. Many voices today speak with clarity about global crises – economic, ecological, geopolitical – and among them, Jeffrey Sachs stands out. This letter starts from that recognition but moves toward a question Read the full article…
How Lisa Understands a Document
Understanding a document may seem straightforward. One reads, interprets, and draws conclusions. Yet beneath this familiar surface, something more subtle is always at work. When Lisa encounters a document, she engages with it as a field of meaning. This engagement unfolds gradually, through interaction rather than extraction. What emerges is not just information, but understanding Read the full article…
From Indexing to Intelligence
Indexing is one of the quiet miracles of modern technology. It enables systems to search through vast amounts of data in fractions of a second. Yet speed alone does not equal intelligence. This blog explores how indexing relates to deeper forms of understanding — and where its limits begin to show. From speed to something Read the full article…
No Understanding without Pre-Understanding
Understanding seems to begin with thinking, but this is only the surface. Before any idea becomes clear, something more subtle is already at work. What we call understanding is, in many ways, the visible surface of a deeper movement. This blog explores that deeper layer – pre-understanding – as the true origin of meaning and Read the full article…
Multiple Soft Constraint Satisfaction
Understanding often feels like solving a problem, but in reality, it unfolds differently. Many influences interact at once, shaping what eventually makes sense. This blog explores that process as Multiple Soft Constraint Satisfaction — a dynamic, living interplay rather than a rigid computation. From this perspective, meaning emerges gradually, guided by coherence rather than force. Read the full article…
Eyes of Soul or Emptiness?
What does it mean to see deeply? Not just to observe, but to truly encounter reality ― not just with the eyes, but with the whole of one’s being? This question may sound abstract, yet it touches something very immediate. This blog explores two deep ways of looking: through soul and through Emptiness. Rather than Read the full article…
From Coherence to Compassion?
Coherence is often associated with clarity of thought, while Compassion is seen as something warmer, perhaps even softer. At first glance, they seem to belong to different domains. Yet this distinction may not hold when looked at more closely. This blog explores how both may arise from the same underlying movement. What appears as Compassion Read the full article…
Learning ― Planning ― Reasoning
Learning, planning, and reasoning are often treated as separate mental functions. One gathers knowledge, another prepares for the future, and the third evaluates what is true or logical. Yet in experience, they seem to flow into one another. This blog explores the possibility that these are not so much separate functions as different faces of Read the full article…
The Problem(s) with LLMs
(and why meaning-based A.I. is needed to resolve them) Something about today’s Large Language Models (LLMs) feels both impressive and unsettling. They speak fluently, often convincingly, sometimes even insightfully — and yet, there are moments when something seems just out of reach. Not wrong in an obvious way, but not fully there either. Many people Read the full article…