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  1. Machine Learning Tech Brief By HackerNoon
  2. Why AI Alignment is Impossible Without an External Anchor
Why AI Alignment is Impossible Without an External Anchor

Why AI Alignment is Impossible Without an External Anchor

Machine Learning Tech Brief By HackerNoon · Jan 3, 2026

AI alignment is impossible from code alone. Citing Gödel's theorems, this analysis argues for an external 'anchor' of human worth to guide AI.

Ethical AI Failures Are Inherent Logical Limits, Not Fixable Bugs

AI ethical failures like bias and hallucinations are not bugs to be patched but structural consequences of Gödel's incompleteness theorems. As formal systems, AIs cannot be both consistent and complete, making some ethical scenarios inherently undecidable from within their own logic.

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Why AI Alignment is Impossible Without an External Anchor

Machine Learning Tech Brief By HackerNoon·2 months ago

AI Architecture Mirrors Cosmology, Requiring an External Human Observer for Meaning

The transcript analogizes AI to cosmological models. A self-contained AI, like the Hartle-Hawking 'no boundary' universe model, is a perfect but directionless system. It requires an external human observer to collapse its possibilities into a single, meaningful reality, just as quantum mechanics requires an observer.

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Why AI Alignment is Impossible Without an External Anchor

Machine Learning Tech Brief By HackerNoon·2 months ago

AI Alignment Requires Hard-Coding Unconditional Human Worth as an Unprovable Axiom

To overcome its inherent logical incompleteness, an ethical AI requires an external 'anchor.' This anchor must be an unprovable axiom, not a derived value. The proposed axiom is 'unconditional human worth,' serving as the fixed origin point for all subsequent ethical calculations and preventing utility-based value judgments.

Why AI Alignment is Impossible Without an External Anchor thumbnail

Why AI Alignment is Impossible Without an External Anchor

Machine Learning Tech Brief By HackerNoon·2 months ago