The Mathematical Impossibility of AGI: Exploring the Infinite Choice Barrier
By
ICBTheory
Toasted just enough. A reliable bake, gently seasoned.
Summary
The article discusses the concept of the Infinite Choice Barrier (ICB) and argues that general intelligence, particularly Artificial General Intelligence (AGI), is mathematically impossible under certain epistemic conditions. It explores the barriers of computability and entropy in relation to AGI development.
Key quotes
· 4 pulledGeneral intelligence—especially AGI—is structurally impossible under certain epistemic conditions. Not morally, not practically. Mathematically.
The core idea is simple: General intelligence—especially AGI—is structurally impossible under certain epistemic conditions. Not morally, not practically. Mathematically.
The argument splits across three barriers: Computability (Gödel, Turing, Rice): You can’t decide what your system can’t see. Entropy (Shannon):
This is the third part in an ongoing theory I’ve been developing over the last few years called the Infinite Choice Barrier (ICB). The core idea is simple:
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