Alfred Korzybski

Alfred Korzybski

Alfred Habdank Skarbek Korzybski was a Polish-American philosopher and independent scholar who developed a field called general semantics, which he viewed as both distinct from, and more encompassing than, the field of semantics. He argued that human knowledge of the world is limited both by the human nervous system and the languages humans have developed, and thus no one can have direct access to reality, given that the most we can know is that which is filtered through the brain's responses to reality. His best known dictum is "The map is not the territory". Many of his ideas were presented in his book Science and Sanity (1933).

Simply Jekyll

A non-linear thread of important ideas weaved together to explore and understand the fabric of knowledge.

Re-Engineering Wimsatt for Limited Beings

Science is the best way to produce facts about reality. The best, at least, that limited human beings have devised so far. Yet, not even scientists quite seem to understand how scientific knowledge is generated. This is not only a philosophical but also a practical problem, as our misunderstandings affect the quality of our research and limit the directions it can take. In light of this, it may be good if we reflected a bit more on how we do science — to become better researchers through philosophy. Here, I provide an accessible introduction to a philosophical approach that achieves precisely this: William Wimsatt’s multi-perspectival realism. It disabuses us of widespread but misleading myths and idealizations about science, such as the idea that everything in the world can be reduced to a fundamental level, or that we can approach a “view from nowhere” — complete and objectively detached knowledge of the world. Wismatt proposes an alternative view based on his thorough studies of actual research practice. It cuts deeply into the layered yet messy structure of reality, and the improvised but potent tools we have available, as limited and evolved beings, to explore it. Wimsatt reframes science as an irregular yet adaptive process rather than a cumulative repository of unalterable facts. His philosophy provides a workable and grounded middle way between radical skepticism and naïve belief in the objective truth of science. It explains how knowledge is conceptually constructed by humans, but still connects us to reality in a trustworthy way. We need such a new view of science, not only to improve our research practices and outcomes but, more generally, to gain a more realistic understanding of ourselves, the world, and our place and role within it.

Danilo Bzdok | Mila

Danilo Bzdok is a computer scientist and medical doctor by training with a unique dual background in systems neuroscience and machine learning algorithms. After training at RWTH Aachen University (Germany), Université de Lausanne (Switzerland) and Harvard Medical School, Bzdok completed two doctoral degrees, one in neuroscience at Forschungszentrum Jülich in Germany, and another in computer science (machine learning statistics) at INRIA–Saclay and the Neurospin brain imaging centre in Paris. Danilo is currently an associate professor at McGill University’s Faculty of Medicine and a Canada CIFAR AI Chair at Mila – Quebec Artificial Intelligence Institute. His interdisciplinary research centres around narrowing knowledge gaps in the brain basis of human-defining types of thinking in order to uncover key computational design principles underlying human intelligence.

The Art of Maps

Charting enlightenment

Symbols, neural networks, and mathematical intelligence

Some reflections on connectionism and the basis of higher-level cognition

The Shape of Knowing - The Cynefin Co

We evolved to make sense of a world that does not come with explanations attached. This is the third in a series on the trialectics. For an introduction

Sense-making reconsidered: large language models and the blind spot of embodied cognition

Large Language Models (LLMs) demonstrate a kind of linguistic competence that theories of embodied and enactive cognition have long deemed impossible for systems lacking the meaningful perspective of a living being, i.e., the capacity for sense-making. Facing up to this unexpected technological development requires confronting what I propose to call the “AI dilemma”: either frontier LLMs are capable of sense-making despite lacking biological embodiment, or the kind of linguistic competence they exhibit does not necessarily require sense-making. In their chapter on cognition, Frank, Thompson, and Gleiser (2024) maintain that no AI system comes close to realizing relevance, a position that derives much of its motivation from past practical failures. However, frontier LLMs have effectively overcome Dreyfus’ commonsense knowledge problem, such that their dismissal as categorically mindless risks undermining Frank et al.’s central claim that human cognition is deeply intertwined with lived experience. I therefore argue in favor of the alternative side of the AI dilemma: human-level linguistic competence of LLMs should be recognized as a novel non‑biological form of sense‑making, based on a technologically‑mediated embodiment whose enabling properties are in need of further theoretical analysis. This reorientation invites enactive theory to clarify which aspects of sense-making may be universal and which aspects are specifically contingent on organic life, thereby advancing its conceptual framework in dialogue with contemporary AI.

Everything is miscellaneous : the power of the new digital disorder

Includes bibliographical references (p. [235]-257) and index; Prologue : information in space -- The new order of order -- Alphabetization and its discontents -- The geography of knowledge -- Lumps and splits -- The laws of the jungle -- Smart leaves -- Social knowing -- What nothing says -- Messiness as a virtue -- The work of knowledge -- Coda : misc; Philosopher Weinberger shows how the digital revolution is radically changing the way we make sense of our lives. Human beings constantly collect, label, and organize data--but today, the shift from the physical to the digital is mixing, burning, and ripping our lives apart. In the past, everything had its one place--the physical world demanded it--but now everything has its places: multiple categories, multiple shelves. Everything is suddenly miscellaneous. Weinberger charts the new principles of digital order that are remaking business, education, politics, science, and culture. He examines how Rand McNally decides what information not to include in a physical map (and why Google Earth is winning that battle), how Staples stores emulate online shopping to increase sales, why your children's teachers will stop having them memorize facts, and how the shift to digital music stands as the model for the future.--From publisher description; From A to Z, Everything Is Miscellaneous will completely reshape the way you think - and what you know - about the world. Includes information on alphabetical order, Amaxon.com, animals, Aristotle, authority, Bettmann Archive, blogs (weblogs), books, broadcasting, British Broadcasting Corporation (BBC), business, card catalog, categories and categorization, clusters, companies, Colon Classification, conversation, Melvil Dewey, Dewey Decimal Classification system, Encyclopaedia Britannica, encyclopedia, essentialism, experts, faceted classification system, first order of order, Flickr.com, Google, Great Books of the Western World, ancient Greeks, health and medical information, identifiers, index, inventory tracking, knowledge, labels, leaf and leaves, libraries, Library of Congress, links, Carolus Linnaeus, lumping and splitting, maps and mapping, marketing, meaning, metadata, multiple listing services (MLS), names of people, neutrality or neutral point of view, New York Public Library, Online Computer Library Center (OCLC), order and organization, people, physical space, everything having place, Plato, race, S.R. Ranganathan, Eleanor Rosch, Joshua Schacter, science, second order of order, simplicity, social constructivism, social knowledge, social networks, sorting, species, standardization, tags, taxonomies, third order of roder, topical categorization, tree, Uniform Product Code (UPC), users, Jimmy Wales, web, Wikipedia, etc

Tracing the thoughts of a large language model

Anthropic's latest interpretability research: a new microscope to understand Claude's internal mechanisms

Strange Knowledgeability

Human knowing in perspectival encyclopedicity

People Who Can't Visualize Anything Are Challenging a 300-Year-Old Theory of Thought

Mental imagery might not be as central to complex human thought as we believed, philosophers say.

Back-to-basics: on poor conceptualizations in AI work - (Un)rigorous AI

TL;DR — Poor conceptual foundations can severely undermine the credibility and reliability of knowledge claims. (And, no, your metric is not your construct.)

Without a theory of intelligence

The history of science — and of progress — is a series of benefits that are direct results of new tools.