Carlos E. Perez
@IntuitMachine

Quaternion Process Theory, Artificial (Intuition, Fluency, Empathy), Patterns for (Gen, LRM, Agentic, Skill) AI, intuitionmachine.com/

 Arlington, VA
Based in United States
medium.com/@intuitmachine
Joined February 2015
9,543 Photos and videos
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The Singularity May Turn Money into a Relic.

For thousands of years, money has determined who gets to live where, eat what, learn what, and become whom. Artificial superintelligence may not merely make us richer. It may make the entire idea of

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The Philosopher Who Anticipated AI’s Curriculum

More than a century before ChatGPT, Charles Sanders Peirce described how signs become understanding—and why a reasoning machine would have to learn to question itself.* Charles Sanders Peirce had a

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The Architecture Is the Harness

Why native-AI enterprise architecture and the AI harness are the same discipline I. The thesis Here is a claim that sounds like a metaphor and turns out to be an identity: in an AI-native business,

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The Admiral's Memorandum - Understanding Fluid and Legible AI Organizations

What a firing squad in 1757 and a naval victory in 1805 reveal about the organizations AI is dissolving — and the ones it might make possible On the morning of March 14, 1757, Admiral John Byng was

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The Robber's Question

What sixteen centuries of political thought agree on about power—and the one thing they refuse to promise There is a story Augustine tells in The City of God that has never lost its sting. A captured
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The Only Good Ending: Why Human Flourishing Has a Single Economic Architecture

Introduction Every serious analysis of artificial intelligence and the global economy eventually arrives at a menu of futures: rival technology blocs, deflationary collisions, one hegemon or another

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How Fable 5 Manages Entropy Explained Through the Odyssey

How Fable manages entropy in long-running reasoning, told through the longest-running reasoning process we know The oldest continuously transmitted story in the Western world is about a man trying to
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What Kubernetes Teaches Us About How Agentic AI Will Develop

Introduction Every generation of computing produces one system whose development history becomes a template for what follows. For distributed infrastructure, that system is Kubernetes. Over a decade,

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First Principles of Karpathy’s Long-Ramble / Voice Method

In a widely discussed post on X, Andrej Karpathy @karpathy shared a practical workflow for working with large language models (LLMs). He described leaning back, switching to voice mode, and delivering

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From Loop Engineering to Graph Engineering?

What the shift in AI agent architecture is really about Peter Steinberger just posted nine words that gathered thousands of likes: https://x.com/steipete/status/2078277297791189132 "Are we still talking loops or did we

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Growing Up Versus Being Onboarded

Let me strip out all the math and tell it as a story. The whole model comes down to five plain ideas. 1. Growing up versus being onboarded There are two ways a thing can develop. A child grows up:

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The Eight Theories of the Machine

Every AI lab claims to be building the same thing. Look closer, and you find eight different arguments about what intelligence is for. Ask any frontier AI lab what it is building, and you will get

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