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Pre-Publications

Computer Vision (MIT)

Introduction Saunders Mac Lane (Wikipedia) Saunders Mac Lane (n-Lab) History ~ Biography Saunders Mac Lane (St. Andrews) Category Theory Philosophy

Overview History of Economic Thought Courses Microeconomics (MIT) Lab Columbia Economists Mark Dean Brad DeLong .

Democratic Party Democratic Party Doom? Refit?

China

Van Gogh OnTurbulence Art-Math, Math-Art Discussion Art-Math Math-Art Billiards, Surfaces, and Geometry: A Problem-Centered Approach by Diana Davis Math as the Focus of Art Doing Art/Math ~ Math/Art

Introduction Jacob Lurie (Wikipedia) Jacob Lurie, IAS Videos

  Nanotechnology

AI Safety in the Metanarrative A Mythography The Industrial Age (19th Century) largely ushered in an optimism regarding technological progress, but with that optimism also came the critics.  Take the work of Nathaniel Hawthorne, for example. Better yet, take the work of Mary Shelley. Note that her Frankenstein is nearby on the timeline to the work of Charles Babbage and to the work of Ada Byron Lovelace .  And though Frankenstein is, in part,  about reanimation, it is also about the creation of intelligent being. So, we see that, historically, a narrative surrounding computing comes into being along another narrative, Frankenstein's monster, and we see these two narratives coupled now in much of the narrative around AI Safety. But my point here is not that we need to decouple the stories regarding the monstrous  ("War Games", "Sneakers", "Goldeneye", ...) so much as we need to re-assess the goals that are embedded in the narrative.  With what we know n...

Brain and Mind The Empty Brain  The Empty Brain, Not The Empty Brain? Computational Theory of Mind  Computational The6ory of Mind, Not Understanding the Biological Mind Cerebral Mystique Neuromythology Neuroscience Brains Brain Research at MIT Nancy Kanwisher Videos Nancy Kanwisher Lecture Notes Cognitive Maps Cognitive Maps Death of the Cognitive Map Functional Maps Debunking the Functional Map of the Brain AI Terms for Cognition as Nearby to Brain, as Metaphor Only Intelligence Model AI Model AI Model Turing Test Turing Test Why the Turing Test Matters Problems with the Turning Test  Another Model for AI Brain AI Brain Modeling   Neuromorphic Computing,  Neutrosophic Computing Neuromorphic Computing Neutrosophic Computing Neutrosophic Computing and Machine Learning Metaphorically Speaking As Brain Brain As On the Physicality of Thinking A Thought

Term Physicalism Physicalism Physicalism Physicalism Aspects of Theory of Mind On Consciousness Contra Against A Philosophy of the Physical On Hermann Weyl Hermann Weyl Continuum Knowledge as a Problem Physical ~ Mathematical Mathematics and Natural Science

Dopamine Dopamine

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Xi Xi's Second Act (China Talk) After Xi Biography Xi's Father

Singapore

 

Geometry Geometry (Wikipedia) Geometry (n-Lab) Every Concept in Geometry Algebraic Geometry Subanalytic Geometry Subanalytic Geometry

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Definition AI Safety (Wikipedia) AI Safety (IBM) AI Safety (NIST) AI Safety (Stanford) Windows on Theory: AI Safety Direction NIS SANS Social Change Lab Red Lines Red Lines Course AI Safety Summit World Policy? Policy U.S. Policy Worry For and Against On Doom On Richard S. Sutton's The Bitter Lesson Failure Failure Protection Children AI Governance AI Governance and Computing Power (arxiv) United States, State Governance (Dean W. Ball) Safeguarded, Transformative AI AIXI Marcus Hutter Michael K. Cohen Michael K. Cohen Behavior Monitoring

Enigma (Wikipedia) Symbolic analysis and statistical analysis were both approaches codebreakers took in breaking Enigma. The development of AI has also incorporated both approaches. One historical question for AI is why the dominance of Symbolic AI from 1950 to 1990? Note the development of AI out of the Dartmouth Workshop and especially the contributions of one of its attendees,  Ray Solomonoff , to the statistical approach, an approach taken up by Marcus Hutter , a DeepMind  researcher. Note too that along with the difference between the symbolic and the statistical is the difference between language learning and computer vision. The turn Richard Sutton takes is to push learning outside the context of language, which is to push computing beyond its linguistic turn. ~ * ~ The Bitter Lesson First Richard Sutton Richard Sutton Site On Learning as Other than a Mimicry of Language A Basis for Adjustment The Bitter Lesson ~ * ~ Tommy Flowers Tommy Flowers (Wikipedia) Tommy Flowe...

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Evolutionary Psychology (Doomslayer)

Chaos and Automation

Street Politics? Street

Definition Data Center How to Build and AI Data Center On AI On Richard S. Sutton's The Bitter Lesson Philosophy Importance Role Market Predictors and ...  NVDIA Energy Consumption Energy Consumption Water Consumption Consumption