// Hacker Noon · 1 May 2026

Why GPT’s Mathematical Foundations Cannot Guarantee Reliable Outputs

This article traces ten unproven mathematical approximations in the GPT architecture — from softmax and positional encoding to attention scaling and in-context learning — and shows that no formal analysis of their composed error propagation exists. The constraint density ρ grows quadratically with c...

Hacker Noon

@hacker-noon · Yurii Chudinov

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