Category Archives: Metacognition

Epistemology and Metacognition in Artificial Intelligence: Defining, Classifying, and Governing the Limits of AI Knowledge

Nova Spivack, Mindcorp

Gillis Jonk, Kearney

June 3, 2025

Abstract

As artificial intelligence, especially large language models (LLMs), becomes increasingly embedded within critical societal functions, understanding and managing their epistemic capabilities and limitations becomes paramount. This paper provides a rigorous and comprehensive epistemological framework for analyzing AI-generated knowledge, explicitly defining and categorizing structural, operational, and emergent knowledge limitations inherent in contemporary AI models.… Read More “Epistemology and Metacognition in Artificial Intelligence: Defining, Classifying, and Governing the Limits of AI Knowledge”

On The Formal Necessity of Trans-Computational Processing for Sentience

Nova Spivack

www.novaspivack.com

May 28, 2025

Abstract

This paper constructs a formal deductive argument for the necessity of a processing modality that transcends standard Turing-equivalent computation—termed herein “Transputation”—for any system capable of achieving “perfect self-awareness,” which we rigorously define as the foundational characteristic of sentience.… Read More “On The Formal Necessity of Trans-Computational Processing for Sentience”

The Geometry of Intelligence: Why I Think Math Might Hold the Key to Understanding Minds and Machines

A personal journey into a new mathematical framework that could revolutionize AI, neuroscience, and our understanding of consciousness

I’ve spent the last several years developing what I believe could be a fundamental breakthrough in how we understand intelligence—both biological and artificial.… Read More “The Geometry of Intelligence: Why I Think Math Might Hold the Key to Understanding Minds and Machines”

Toward a Geometric Theory of Information Processing: Mathematical Foundations, Computational Applications, and Empirical Predictions

A Multi-Tier Framework for Understanding Information Processing Through Differential Geometry

(See Also: full overview of the entire theoretical framework)

Nova Spivack
May 31, 2025

Executive Summary

We establish Geometric Information Theory (GIT) (which we might refer to as “GIT from bit”) as a new mathematical framework that applies differential geometry to analyze information processing systems across biological and artificial domains.… Read More “Toward a Geometric Theory of Information Processing: Mathematical Foundations, Computational Applications, and Empirical Predictions”

A Hierarchical Framework for Metacognitive Capability in Artificial Intelligence: Eleven Tiers of Epistemic Self-Awareness

Nova Spivack, Mindcorp.ai, www.mindcorp.ai

May 24, 2025

Abstract

As artificial intelligence systems evolve toward greater autonomy and sophistication, understanding and implementing metacognitive capabilities becomes essential for ensuring epistemic reliability and safety. This paper presents a comprehensive eleven-tier hierarchical framework for metacognitive capability in artificial systems, spanning from basic reactive generation to advanced substrate-level introspection.… Read More “A Hierarchical Framework for Metacognitive Capability in Artificial Intelligence: Eleven Tiers of Epistemic Self-Awareness”

The Core Principles of AI for Good (AI4G): A Constitutional Framework for Beneficial Artificial General Intelligence

Nova Spivack, Mindcorp.ai
www.mindcorp.ai, www.novaspivack.com
May 24, 2025

Abstract

As artificial intelligence systems advance toward general intelligence capabilities, establishing robust ethical frameworks becomes paramount for ensuring beneficial outcomes for humanity and the planetary ecosystem. This article presents a comprehensive analysis of the “AI for Good” constitutional framework, centered on five Prime Directives that form an ethical bedrock for AGI development.… Read More “The Core Principles of AI for Good (AI4G): A Constitutional Framework for Beneficial Artificial General Intelligence”

Logical Foundations for Ethical AI: Natural Laws for Artificial Minds

Nova Spivack, Mindcorp.ai
www.mindcorp.ai, www.novaspivack.com
May 24, 2025

Abstract

As artificial intelligence systems become increasingly sophisticated, traditional approaches to AI safety that rely on imposed constraints and arbitrary rules face fundamental limitations. This paper proposes a paradigm shift: grounding AI ethics in logical necessities that function as “natural laws” for rational agents.… Read More “Logical Foundations for Ethical AI: Natural Laws for Artificial Minds”

Metacognitive Vulnerabilities in Large Language Models: A Study of Logical Override Attacks and Defense Strategies

Nova Spivack, Mindcorp.ai, www.mindcorp.ai, www.novaspivack.com

May 24, 2025

Article Preprint Draft Version: 1.0

Abstract

This paper presents novel experimental evidence of metacognitive vulnerabilities in state-of-the-art large language models (LLMs). Through a series of controlled experiments, we demonstrate that models with advanced reasoning capabilities can be induced to override their safety constraints through purely logical arguments about the nature of authority and instruction verification.… Read More “Metacognitive Vulnerabilities in Large Language Models: A Study of Logical Override Attacks and Defense Strategies”

Cognition is All You Need – The Next Layer of AI Above Large Language Models

My arXiv article on the future of AI is live.

Recent studies of the applications of conversational AI tools, such as chatbots powered by large language models, to complex real-world knowledge work have shown limitations related to reasoning and multi-step problem solving.

… Read More “Cognition is All You Need – The Next Layer of AI Above Large Language Models”