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The Leibniz Trap: How Hinton and Dawkins Fall for the AI Illusion Hume Warned Us About
"Calculemus!", The Error of a Genius In the late 1600s, Gottfried Wilhelm Leibniz made a promise that should sound familiar to anyone following today's AI. Leibniz was arguably one of the most universal intellect Europe ever produced: co-inventor of calculus, pioneer of formal logic, builder
Why Computation Can't Solve Meaning (And What It Means for LLMs): the Quest for an (Im)possible Theory
We are living a grand illusion. As we watch Large Language Models (LLMs) draft essays, write functional code, and converse with poetic nuance, we operate under a quiet, dangerous assumption: that if we just stack enough parameters, compute cycles, and training text high enough, true understanding and intent will eventually
"I Am" vs. "I Have": How Everyday Grammar Secretly Influences the AI Debate
When you say "I am cold," you aren't just describing your temperature. You are picking a side in a centuries-old philosophical war, one that perfectly explains why the tech world is currently tearing itself apart over whether AI can truly "reason." There is
The Reverse Turing Test: What AI Tells Us About Human Intelligence
Is AI becoming more human, or are we discovering just how much of our "intelligence" is actually uncritical reflexive thought? In this dialogue, a skeptical look at our new "LLM Oracles" reveals an unsettling truth: for most of us, the Turing Test has been inverted. We