Raktim Singh

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unified theory of unrepresentability in AI
Digital Transformation

A Unified Theory of Unrepresentability in AI: Why the Most Dangerous Failures Come from Missing Concepts

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When AI Solves the Wrong Problem: The Missing Homeostatic Layer in Reasoning Systems
Artificial Intelligence

When AI Solves the Wrong Problem: The Missing Homeostatic Layer in Reasoning Systems

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Self-Limiting Meta-Reasoning:
Artificial Intelligence

Self-Limiting Meta-Reasoning: Why AI Must Learn When to Stop Thinking

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Formal Theory of Delegated Authority
Artificial Intelligence

Formal Theory of Delegated Authority: Why Accountability Must Follow Authority Flow—Not Execution Flow

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The Completeness Problem in Mechanistic Interpretability
Artificial Intelligence

The Completeness Problem in Mechanistic Interpretability : Why Some Frontier AI Behaviors May Be Fundamentally Unexplainable

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A Computational Theory of Responsibility in AI
Artificial Intelligence

A Computational Theory of Responsibility in AI: Why “Correct” Decisions Still Leave Moral Residue

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Verification Must Become a Living System
Artificial Intelligence

Verification Must Become a Living System: Why Static AI Safety Proofs Fail in Production

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Judgment as a Computational Object
Artificial Intelligence

Judgment as a Computational Primitive: Why Reasoning Alone Fails in Real-World AI Decisions

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The Hardest Problem in AI
Artificial Intelligence

The Hardest Problem in AI: Detecting What a System Cannot Represent

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AI Can Be Right and Still Wrong
Artificial Intelligence

AI Can Be Right and Still Wrong: The Missing Moral Layer in Enterprise AI Decisions

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