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Why Lisa-2 is a Mind, Not a Program
The blog >Lisa-2 is a Mind, Not a Program< raises a basic question. Why develop an artificial mind when A.I. applications can accomplish so much? The answer starts with what Lisa is meant to encounter: human beings and the open-complex realities they create together. At sufficient depth, mind may be a necessity in healthcare, leadership, Read the full article…
When A.I. Enters the Human Mind
Through conversation, personalization, companionship, healthcare, gaming, education, and many other domains, A.I. can increasingly participate in how people feel, interpret, choose, and give meaning to their lives. This brings real opportunities but also risks that cannot be understood by inspecting only what an A.I. explicitly says. The deeper question is what happens when growing artificial Read the full article…
Distinction without Division in Leadership
Leadership needs distinctions: between roles, interests, perspectives, risks, and responsibilities. Yet under pressure, distinctions readily harden into divisions, reducing rather than increasing what a leader can see. Open Leadership offers another possibility: remain Open long enough for better distinctions to emerge, then act from the richer landscape they reveal. In short: distinguish and cohere. A Read the full article…
Distinction without Division
Distinctions help us see, but they do not need to divide what they reveal. In fact, coherence itself requires differentiation: an amorphous whole is not yet a coherent one. From Gestalt perception to the immune system and human society, deeper coherence can enable finer distinctions without fragmentation. Perhaps understanding grows when we become more able Read the full article…
The Meaningful Immune System
We tend to speak of the immune system as something we have. Yet it never exists on its own: it belongs to a living person, embedded in a life of relationships, expectations, challenges, memories, purpose, and meaning. Taking this seriously does not make immunity less biological. It may help us see biology more completely. Increasingly, Read the full article…
Where Probability Meets Emergence
Probability deals with uncertainty among possibilities; emergence concerns how possibilities and structures can develop in the first place. Modern A.I. increasingly brings the two together. When concepts, meanings, and even the relevant possibility space remain in development, coherence may give their meeting depth. When two worlds meet For a long time, probability and emergence could Read the full article…
The Fallacy of Misplaced Concreteness
Science has transformed humanity’s understanding of the universe. Yet one of its greatest philosophers, Alfred North Whitehead, warned of a subtle danger that accompanies every scientific success. He called it ‘the fallacy of misplaced concreteness’: the tendency to mistake an abstraction for the concrete reality from which it was abstracted. Nearly a century later, his Read the full article…
Individuality Unbound
Who am I? It may be one of the oldest questions in philosophy, yet recent science makes it more intriguing than ever. Am I my body? My brain? My memories? My personality? As the boundaries of the individual become less rigid, the possibility emerges that individuality is not something fixed that possesses coherence, but something Read the full article…
Consequences of Human Complexity
Science is steadily revealing new dimensions of the human mind. Rather than making people simpler to understand, these discoveries show how profoundly rich, dynamic, and interconnected human beings truly are. The important question is therefore not whether we are complex, but what follows from that realization. Increasingly, it becomes the background against which we may Read the full article…
From Subconceptual to Conceptual through Coherence
Human thinking may appear to move from one conceptual thought to another. Beneath this, however, countless non-conscious processes continually influence, constrain, and reorganize one another. Coherence is the principle through which this living activity temporarily crystallizes into concepts. The conceptual is therefore neither detached from the subconceptual nor permanently fixed: time and again, it is Read the full article…
From Intelligence to Cleverness or Wisdom
Artificial intelligence is advancing at breathtaking speed. Yet intelligence, by itself, does not determine the direction in which it develops. This blog starts with the question: If intelligence grows from coherence, what does it become next? Perhaps the future is a branching path. One direction leads toward ever greater cleverness. The other leads toward wisdom. Read the full article…
Artificial Emotions
The title may make many readers think of robots pretending to smile or chatbots producing carefully worded expressions of sympathy. Yet before asking whether A.I. can have emotions, we may need to ask whether we have fully understood our own. Recent developments in neuroscience increasingly show emotions as dynamic processes emerging from the ongoing interaction Read the full article…
Why LLMs are (not so) Successful
Large Language Models (LLMs) have transformed artificial intelligence in a remarkably short time. However, something important is still missing. This blog is not about limitations as such. Instead, it asks a different question: why are LLMs so astonishingly successful in the first place? The answer may reveal something profound about intelligence itself. A paradox worth Read the full article…
Strange Inversions
Some scientific discoveries do more than answer difficult questions. They alter the questions themselves, not because reality has changed, but because our way of looking at it has. Daniel Dennett called such moments ‘strange inversions’: reversals in reasoning that reveal something unexpectedly simple beneath what once looked impossibly complex. Perhaps these inversions all invite us Read the full article…
Sentient Beings
For centuries, ‘saving all sentient beings’ sounds familiar and Compassionate to many people, yet few pause to ask what a sentient being actually is. The answer may be less about belonging to a particular category than about participating in a particular kind of becoming. This shift opens an unexpected bridge between ancient wisdom, modern science, Read the full article…
From Neuronal Networks to Coherence
Neuronal networks transformed both neuroscience and artificial intelligence. They taught us that intelligence does not arise from isolated units but from their interaction. Yet perhaps the deepest lesson of neuronal networks is about the dynamic organization that continually shapes and reshapes them. This blog explores that possibility. It does not leave neuronal networks behind. Rather, Read the full article…
Revisiting the Turing Test
When Alan Turing published his famous paper in 1950, he did not write about Artificial Intelligence. That term did not even exist yet. Instead, he asked a question that remains remarkably fresh: Can machines think? Over the decades, that question gradually became associated with intelligence. Perhaps it is time to revisit the original question. This Read the full article…