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From Correlation to Coherence
While artificial intelligence has become astonishingly capable, intriguingly, much of what looks like understanding in today’s systems may stem from the power of correlation. Yet there may be another step ahead. Beyond correlation lies coherence: not merely what fits statistically, but what belongs together meaningfully. [See the addendum for a structured comparison table correlation – Read the full article…
From Hidden Markov to Resonant Hidden Meaning
Much of science has been an effort to explain what is visible by what is hidden. Psychology has looked for hidden motives. Statistics has searched for hidden variables. Artificial intelligence has sought hidden states, hidden layers, and latent spaces. These have brought clarity and power. Yet in human depth, this may not fully capture what Read the full article…
Meaning is in Dialogue
Meaning may not be a thing, but an event, a living process. Words, books, and memories can preserve traces of meaning, but alive meaning arises only in interaction. This blog explores dialogue as one of the deepest architectures of meaning. There is no meaning without dialogue. That may sound radical at first. Yet it points Read the full article…
About Lisa’s Reasoning Transparency
As artificial intelligence grows more capable and more present in human life, a question becomes increasingly important: not only what such intelligence can do, but how it arrives where it does. In many situations, the answer itself matters — but so does the path toward it. Lisa’s reasoning transparency is about making that path increasingly Read the full article…
Beyond Scale — Is Lisa the Next Step in A.I.?
A.I. is growing rapidly in scale, capability, and influence. This raises an important question that goes beyond performance alone: Is scaling enough, or is something deeper needed for intelligence to truly make sense? This blog explores that question openly. It introduces Lisa not as a competitor to current A.I., but as a step in a Read the full article…
When Error is Opportunity
Error is usually something to avoid or eliminate. It signals that something went wrong. Yet this may be only part of the story. When looked at more closely, error can also reveal where something does not yet fit — and where growth may become possible. This blog explores how error, when held differently, can become Read the full article…
When Learning, Planning, and Reasoning Become One
Learning, planning, and reasoning are frequently seen as separate functions. Yet in lived experience, they often flow together. What happens when this unity is taken seriously? This blog explores how thinking changes when these three become one movement — and how this may bring more fluidity and a deeper sense of coherence. A quiet reminder Read the full article…
Consequences of Coherence
Coherence – in humans and A.I. – is often seen as something abstract, yet when patterns begin to align more deeply, changes can be felt in thinking, behavior, health, and interaction. This blog explores those consequences — not as rigid outcomes, but as tendencies that gradually shape how systems and people function. What follows when Read the full article…
Can Coherence be Formalized?
Coherence seems essential to meaning, intelligence, and science itself, but resists simple measurement. Can it nevertheless be formalized in a way that preserves its depth? This blog explores that question, moving from intuitive understanding toward a more dynamic and workable view. [See the addendum for a situation of coherence among existing frameworks in A.I.] Easily Read the full article…
How Logic Crystallizes from Depth in Humans and A.I.
Intelligence is often seen as something clear and structured, closely tied to reasoning and logic. Yet beneath it, something more fluid and less explicit may be continuously at work. This blog explores how logic, in both humans and A.I., may not be the starting point of intelligence, but rather a later crystallization from deeper processes Read the full article…
Resonance at the Center of Lisa’s and the Human Mind
Resonance is something we all recognize, though rarely by name. It appears in moments when something simply feels right, without needing explanation. This blog explores that phenomenon as something deeply human — and increasingly relevant to how humans and A.I. may meet. In doing so, it gently unfolds how resonance may lie at the center Read the full article…
Meaning-Based A.I. on the Edge
There is an assumption behind much of today’s artificial intelligence: that intelligence lives in the center. Massive data centers, vast models, and centralized computation seem to define where thinking happens. The more central, the more powerful — or so it appears. Yet when we look more closely at human meaning, a different picture emerges. Meaning Read the full article…
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…