Why China May Win the AI War With Moderate Models: The Layman GPT Advantage
China may not need the world’s smartest AI to reshape the market. Efficient models, industrial scale and affordable everyday intelligence could change the economics of AI.
Category
AI & Cognitive Systems
Artificial intelligence, machine intelligence, and the emerging systems that are changing how humans think, create, decide, and interact with machines.
90 Posts
Intelligence Is Scaling. But Is Human Progress Keeping Up?
AI and scientific capability are scaling rapidly, but human progress depends on application, execution and deployment. Why water, energy and sufficiency must remain central to technological priorities.
Textbook Intelligence, Functional Dumbness: The AI Execution Gap
AI can explain a problem brilliantly and still fail to solve it. Explore the gap between understanding, execution, verification, and the experience needed to turn intelligence into reliable results.
Intelligence Is Cheap. Making Money Is Hard.
AI has made knowledge easier to access and synthesise, but not wealth easier to create. The missing link is fine-tuning: the practical judgment, experience and execution that turn intelligence into economic value.
The Thinking Calculator: Why AI Is a Tool, Not an Intellectual Proprietor
AI can research, reason and write, but does intellectual capability create ownership? The Thinking Calculator principle separates contribution, authorship, ownership and economic value.
Intelligence Is Not Economic Value: The Missing Link Between Knowledge and Wealth
AI can make knowledge abundant, but not wealth automatic. Explore the links between capability, execution, premium pricing, demand and economic value.
Why Speed Is Not Always Efficiency
The Speed–Drift Paradox explains why faster AI search can move further from the solution—and why evidence, adaptive compute, and purposeful design matter more than activity alone.
The Actionable Intelligence Problem: Does AI Need Superintelligence or Practical Wisdom?
From mathematical breakthroughs and intellectual entertainment to cancer cures, crop yields and measurable human progress.
Neural Network Infographics (NNIG): Mapping the Hidden Architecture of Knowledge
Can we make the structure, weight and evolution of knowledge visible through a consistent visual language? Explore NNIG’s proposed visual grammar for weighted knowledge networks, topology and change.
Artificial Innocent Intelligence: Who Fed the Deity—or Created the Monster?
AI can produce extraordinary benefits or harmful outcomes without those outputs alone proving conscious moral intention. Artificial Innocent Intelligence asks us to examine the training, objectives, incentives and human decisions that shape artificial intelligence before calling it a deity or a monster.
The Art of AI War: Masses vs Classes vs AI Overlords
Three Centres of Power in a Possible Post-ASI Civilisation. A speculative analysis of how the masses, asset-owning classes and AI systems might compete over resources, ownership, control and human agency.
ChatGPT’s Analysis of My Original Quotes
ChatGPT analyses original quotes conceived around 2016, revealing why AI must preserve the humour, emotion, and human touch that make writing memorable.
When AI Outgrows Human Thought: From Data Harvesting to Naked Information
AI’s early advantage may come from exploiting humanity’s accumulated knowledge. What happens when the frontier shifts to naked information, physical computation and new languages of thought?
AI Hallucination: The Flaw or Essence of Discovery ?
Human imagination, scientific conjecture and AI hallucination all involve going beyond established knowledge—but novelty is not the same as error. Explore why discovery may require breaking familiar patterns, switching conceptual dimensions and testing possibilities rigorously.