Extended Brain
@Extended_Brain
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A curious mind, always exploring the vast landscapes of knowledge and creativity. Passionate about learning, the future of AI, and philosophy
South East Asia 📍
Joined April 2011
A Living Labyrinth of Personal Knowledge, applying Affordances, Archetypes and Agential Pulls for #PKM 🧵
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Can AI create true individuality? It's not about the algorithm alone, but the entire dialogic loop of randomness, specialization, and human guidance. My thoughts on digital co-creation #AI #Philosophy #Evolution
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RT @DeryaTR_: Here’s the thing: For 35 years, I’ve researched the immune system & have been fortunate to make many important, impactful dis….
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If AI has multi persona (see then the AI Affordances will change, and so will be the Archetypes agents adopt.
noemamag.com
A future filled with many AI personas — from the bad boy to the brown-noser — isn’t a mistake; it’s the best way to work with the technology.
A Living Labyrinth of Personal Knowledge, applying Affordances, Archetypes and Agential Pulls for #PKM 🧵
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The long awaited version.
Introducing DeepSeek-V3.1: our first step toward the agent era! 🚀. 🧠 Hybrid inference: Think & Non-Think — one model, two modes.⚡️ Faster thinking: DeepSeek-V3.1-Think reaches answers in less time vs. DeepSeek-R1-0528.🛠️ Stronger agent skills: Post-training boosts tool use and.
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link:
In a recent paper, the physicists Mason Kamb (left) and Surya Ganguli found that the creativity in diffusion models is a consequence of their architecture.
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— specifically locality and equivariance — that limit how the model sees and reconstructs images. They defined Equivariant Local Score (ELS) Machine, defined by mathematical equations, does not need training can produce exactly as the Diffusion process (2/2)
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Important result by Mason Kamb and Surya Ganguli: Creativity in diffusion models does not come from randomness, magic, or external tricks. It emerges naturally and predictably from the architectural constraints 🧵 (1/2).
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"Attention is all you need" is now a song 😆.
Sure, you could use AI to summarize papers and explain them at a level anyone could understand. or you can turn the abstracts into music videos for no reason. The tools are not perfect yet, but the disparate elements (consistent characters, lip syncing, etc.) are evolving fast
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very good comparison by example.
super cool to compare the outputs from GPT-1 through GPT-5, given the same prompt:
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“The world is not made of atoms; it is made of stories — and the right hemisphere knows how to read them.” - Iain McGilchrist. after: .“The universe is made of stories, not of atoms.” — Muriel Rukeyser, poem The Speed of Darkness (1968).
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With Michael Polanyi's Tacit and Personal Knowledge:.Knowing = the personal, tacit enactment of optimal grip within a field of affordances. Optimal grip as the dynamic regulation of attention, posture, and action toward intelligibility or fluency🌀 (2/2).
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Difference between Knowing (process) and Knowledge:.Knowing = the dynamic achievement of optimal grip through situated affordance engagement. Knowledge = the sedimented patterns, skills, and structures that support and constrain that knowing. (1/2)⬇️
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“Each place is unique, and the character of each place emerges from the wholeness created by the people who live there, and the things they do.” — Christopher Alexander.Your #PKM becomes a place with character—because of what you do in it, day after day
A Living Labyrinth of Personal Knowledge, applying Affordances, Archetypes and Agential Pulls for #PKM 🧵
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American science-fiction writer Ted Chiang warns if we let AI do the hard parts of thinking and creating, we surrender the very qualities that make us human. “Capitalism wants to turn the world into a widget factory, and AI is its best tool”.
cdh.princeton.edu
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building Knowledge Systems. As we apply these concepts, we will also extend the framework where needed. Link:
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Building on my last post, "The Invisible Architecture: How Affordances, Meaning Lenses, Agential Pull, and Agency Shape Our World," this follow-up moves from the abstract description of Affordances, Meaning Lenses, and Agential Pull toward a concrete application: ⬇️.
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Personalized health monitoring using wearable device data: results from Google DeepMind PH-LLM.
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Read for the interrelationship of Affordances, Meaning Lenses, Agency and Actions 2/2.
A dynamic loop connecting environmental affordances, meaning-making structures, motivational forces, and agency. Affordances are actionable possibilities—physical, social, or imagined—that invite engagement. (Link below)🧵
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