Science & AI
Science, artificial intelligence and emerging consciousness
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The histopathological slide has been the diagnostic gold standard in medicine for over a century. A thin section of tissue, stained and mounted, examined under a microscope by a trained pathologist. The judgment is expert, time-intensive, and subject to the inevitable variability of human perception. Artificial intelligence is not replacing that judgment — it is…
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The dominant paradigm in artificial intelligence has been, for most of its history, disembodied: systems that process information in digital space, disconnected from any physical substrate. A language model reads, reasons, and generates text. A vision model classifies images. Neither touches the world. Neither is affected by it. Embodied AI proposes something different: that intelligence,…
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Every interaction with a large language model begins, by design, from zero. The model has no recollection of previous conversations, no accumulated knowledge of the user, no continuity of experience across sessions. It is, in a precise technical sense, stateless. This is not a limitation of intelligence — it is a limitation of architecture. The…
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The brain does not fit neatly into Euclidean geometry. Its structures — cortical folds, vascular trees, dendritic arborizations — are irregular in ways that classical measurement fails to capture. Fractal geometry, introduced by Mandelbrot and progressively adopted in neuroscience over the past four decades, offers a framework suited to this complexity. The central tool is…
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In 1995, David Chalmers drew a line that still divides philosophy of mind and cognitive science. On one side, the “easy problems” of consciousness: explaining how the brain integrates information, controls behavior, focuses attention. Difficult, but tractable. On the other side, the “hard problem”: why any of this is accompanied by subjective experience at all.…
