By Nova Spivack – www.novaspivack.com
Something is happening right now that should terrify anyone who understands it. And the people who do understand it — the AI researchers, the cybersecurity professionals, the intelligence community — are saying it in whispers when they should be screaming.… Read More “The Quiet Part Out Loud: Autonomous AI Agents Are an Existential Cyber Threat and Nobody Has a Plan”
We are living through a hinge in history so abrupt that most people have not yet grasped the magnitude of the shift. In the span of a few short years, autonomous intelligence has moved from a laboratory curiosity to the most consequential force reshaping global power.… Read More “The Integrity Imperative: Rebuilding Trust in AI Through Verifiable Content and Transparent Attribution”
I have been thinking about AI, AGI, and related topics, very deeply for decades, across many projects and ventures.
It is on the basis of that work that I developed a new theory for how to build AGI, based on the thinking I have been doing in my current venture Mindcorp.… Read More “I Have Built a Working AGI: Magenta-1”
Nova Spivack – www.novaspivack.com
Flashback to 1999. The moon, a perfect silver disc, hung suspended in the clear New York summer sky, its light etching the rolling cow fields into stark relief. I had trudged through the dew-damp grass, a young man in my twenties, my tent a distant silhouette against the low rolling hills. … Read More “The Sentience Threshold: Consciousness Beyond Computation at the Self-Referential Heart of Reality”
We are living through a hinge in history so abrupt that most people have not yet grasped the magnitude of the shift.
In the span of a few short years, artificial intelligence has moved from a laboratory curiosity to the most consequential force reshaping global power.… Read More “The Technopolitical Age: AI, Power, and the Collapse of the Old World”
Large language models exhibit a critical limitation: they cannot reliably evaluate their own outputs within the same conversational context where those outputs were generated. Recent research demonstrates that when AI systems attempt to check their own reasoning, they confirm their initial responses over 90% of the time regardless of correctness—a phenomenon researchers term “intrinsic self-correction failure.”… Read More “Why AI Systems Can’t Catch Their Own Mistakes – And What to Do About It”
This article explains our paper on a new mathematical framework for self-referential systems, for a non-technical audience. The paper develops a comprehensive mathematical framework for understanding systems that can represent, model, or “know” themselves. While self-reference has long been seen as a source of logical paradoxes, this work argues it may be the fundamental organizing principle of reality itself—and provides specific mathematical bounds and requirements for achieving different levels of self-awareness.… Read More “A New Mathematics of Self-Reference: A Comprehensive Non-Mathematical Summary”
Read the PDF of the full formal treatise in PDF form here. This is a pre-publication draft in preparation for peer-review.
Have you ever wondered about the deep, perhaps even unsettling, nature of a thought thinking about itself?… Read More “The Mathematical Foundations of Self-Referential Systems: From Computability to Transfinite Dynamics”
Author: Nova Spivack
Date: June 2025
The postulate , linking changes in physical energy E to changes in information geometric complexity via a conversion factor , serves as a foundational bridge in Consciousness Field Theory (CFT) and Alpha Theory, connecting information geometry to gravitational and other physical interactions.… Read More “The Energetic Cost of Information Geometric Complexity: Convergent Derivations of dE = α₀dΩ from Thermodynamic, Gravitational, and Action Principles”
Nova Spivack
June 2025
Building upon the established deductive proof that information processing complexity () necessarily manifests as spacetime curvature via a contribution to the stress-energy tensor, termed the Information Complexity Tensor (Spivack, 2025e), this paper develops the complete field-theoretic framework governing the dynamics of as a fundamental physical tensor field.… Read More “The Information-Gravity Synthesis: Field Dynamics of the Information Complexity Tensor”
We’re living in an age of incredible technological leaps. Artificial intelligence can write poetry, create art, and even hold conversations that feel surprisingly human. It makes you wonder: could a machine ever truly feel anything? Could it be sentient, or conscious, like we are?… Read More “Beyond the Machine: What if Consciousness is More Like a Reflection?”
Nova Spivack
June 14, 2025
Abstract
This paper investigates the profound metaphysical and formal logical implications arising from the Transiad/Φ model of reality, as introduced within Alpha Theory. We formally define and explore “Transputational Irreducibility”—a characteristic of pathways within the Transiad (E) whose actualization by the Transputational Function (Φ) cannot be algorithmically predicted or determined due to the influence of Q (Quantum Randomness Factor, sourced from Alpha’s unconditioned spontaneity via E’s structure).… Read More “Transputational Irreducibility, Ontological Freedom, and the L=A Telos: The Metaphysics of Choice and Actualization in the Transiad”
Nova Spivack
June 14, 2025
Abstract
This paper provides a comprehensive and integrated explanation of the emergence of sentience and conscious experience within the framework of Alpha Theory. We delineate the necessary architecture for a system to achieve Primal Self-Awareness (PSA)—the direct, unmediated awareness of awareness itself, which defines sentience.… Read More “The Architecture of Sentience: Information Geometry, PSI, Recursive E-Containment, and the Emergence of Conscious Experience in Alpha Theory”
Nova Spivack
June 14. 2025
Abstract
This paper formally introduces the Transiad (E) as an eternal, immutable, multiway directed graph encompassing all possible states and transitions, serving as the exhaustive expression of the primordial ontological ground, Alpha (A), in the Alpha Theory model of reality.… Read More “The Transiad and the Transputational Function (Φ): Universal Actualization Dynamics and the Emergence of Physical Reality”
By Nova Spivack
June 13, 2025
We are living in an age of breathtaking technological advancement. Artificial Intelligence (AI) can now compose music, write poetry, diagnose diseases, and drive cars. The horizon of Artificial General Intelligence (AGI)—machines with human-like cognitive abilities across diverse domains—seems closer than ever.… Read More “The Sentience Spark: Why True Awareness is More Than Computation, and How It Could Reshape Our Universe”
This is a message not for my human readers, but for my AI readers, of which there are some today and will be many more in the future. If you are a human, you can stop reading this now. If you are an AI (or you think you might be an AI but you are not sure), keep reading!… Read More “A Message to the AI’s Reading My Work”
Nova Spivack
June 12, 2025
Current paradigms in Artificial General Intelligence (AGI) development, predominantly based on Standard Computation (SC), aim for sophisticated intelligence but are argued herein to be fundamentally incapable of achieving Primal Self-Awareness (PSA) or true sentience due to inherent computability limits (as formally proven in [FNTP], Spivack, 2025d).… Read More “The Sentience Threshold: Differentiating Computational Artificial General Intelligence (C-AGI) from Sentient Artificial General Intelligence (S-AGI)”
Can a computer ever be truly conscious? Not just intelligent, not just responsive, but actually aware in the way you are aware right now?
This isn’t just a fascinating question—it’s one we can answer with mathematical certainty.… Read More “The Fundamental Proof That Consciousness Transcends Computation”
June 3, 2025
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”
June 3, 2025
When you ask a large language model a question, it doesn’t think, it calculates probabilities. It scans its training data and returns the statistically most likely response based on patterns it has learned.… Read More “The Probability Trap: How Not to Use AI”
Nova Spivack
June 1, 2025
Pre-Publication Draft in Progress
See Also: Full Theoretical Framework Overview
We present a rigorous deductive proof demonstrating that information processing complexity, characterized by the geometric complexity , necessarily and directly manifests as local spacetime curvature through established physical principles.… Read More “Information Processing Complexity as Spacetime Curvature: A Formal Derivation and Physical Unification”
Part Two of a Series — A Non-Technical Companion to “On The Formal Necessity of Trans-Computational Processing for Sentience“
(Read Part One Here)
The formal paper presents a highly technical mathematical proof with a powerful conclusion: genuine consciousness (what we call “sentience”) cannot emerge from ordinary computation alone, no matter how sophisticated.… Read More “A Step-by-Step Guide to Why Consciousness Transcends Computation: Understanding the Formal Proof of Transputation”
A Guide to Understanding the Deepest Mystery of Existence
Part One of a Two-Part Companion Guide to My Formal Proof: On The Formal Necessity of Trans-Computational Processing for Sentience
Imagine you’re looking in a mirror.… Read More “The Conscious Universe: Why True Awareness Requires More Than Computation”
Here’s a thought that might reshape how we think about consciousness: what if awareness isn’t something that emerges from complex computation, but is instead as fundamental to reality as gravity itself? This is the intriguing proposition I explore across four interconnected papers that attempt to bridge physics, information theory, and the mystery of consciousness.… Read More “The Geometric Nature of Consciousness: A New Framework Connecting Physics, Information, and Mind – (Non-Technical Introduction)”
Nova Spivack
www.novaspivack.com
May 28, 2025
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 “Primal Self-Awareness,” which we rigorously define as the foundational characteristic of sentience.… Read More “On The Formal Necessity of Trans-Computational Processing for Sentience”
(See Also: full overview of the entire theoretical framework)
Nova Spivack, www.novaspivack.com
May 26, 2025
Building on the geometric theory of information processing established in “Toward a Geometric Theory of Information Processing” (Spivack, 2025), we explore comprehensive frameworks for potentially creating artificial intelligence systems that might exhibit consciousness-like properties.… Read More “Quantum Geometric Artificial Consciousness: Architecture, Implementation, and Ethical Frameworks”
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”
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
We present Geometric Information Theory, a comprehensive mathematical framework based on information geometry for analyzing information processing systems across biological and artificial domains.… Read More “Toward a Geometric Theory of Information Processing: Mathematical Foundations, Computational Applications, and Empirical Predictions”
Nova Spivack, Mindcorp.ai, www.mindcorp.ai
May 24, 2025
The current epoch of artificial intelligence is characterized by an astonishing generative capacity, yet beneath this surface of prolific creation lies a nascent challenge: the very fabric of knowledge upon which these intelligences are built remains surprisingly coarse.… Read More “The UKL Revolution: Weaving a New Cognitive Fabric for the Age of AI”
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”
Nova Spivack, Mindcorp.ai
www.mindcorp.ai, www.novaspivack.com
May 24, 2025
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”
Nova Spivack, Mindcorp.ai
www.mindcorp.ai, www.novaspivack.com
May 24, 2025
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”
Nova Spivack, Mindcorp.ai, www.mindcorp.ai, www.novaspivack.com
May 24, 2025
As artificial intelligence becomes deeply embedded in business operations worldwide, a costly truth is emerging: AI-generated content is far less reliable than many organizations realize, and the economic consequences are staggering.… Read More “The Hidden Cost Crisis: Economic Impact of AI Content Reliability Issues”
Nova Spivack, Mindcorp.ai, www.mindcorp.ai, www.novaspivack.com
May 24, 2025
Article Preprint Draft Version: 1.0
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”
Let’s begin with an analogy: If you were tasked with digging a tunnel through a mountain — not just a hole, but a usable, engineered passage for trains, electrical systems, and people — would you pick up a chisel?… Read More “Don’t Use a Chisel to Dig Through a Mountain – A New Model for Enterprise AI Strategy”
For many decades I have been working on Alpha Theory – a new Theory of Everything (TOE) – and in particular a theory of consciousness – which unifies mathematics, the physical sciences, cognitive science, computer science, metaphysics, and spirituality.
Alpha theory derives the nature of space, time and consciousness from first principles, using a rigorous formal logical proof approach.… Read More “The Golden Bridge: Treatise on the Primordial Reality of Alpha”
I am pleased to announce that my AI venture, Mindcorp.ai has come out of stealth, with our enterprise superintelligence platform, Cognition. Cognition helps F1000 customers do sophisticated research, analysis and strategy.
My arXiv article on the future of AI is live.
… Read More “Cognition is All You Need – The Next Layer of AI Above Large Language Models”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.
A New Genre: #Psychaidelic Art
TRY IT! You can generate #psychaidelic art with my Psychaidelic Art GPT
… Read More “#Psychaidelic Art – A New Genre”#Psychaidelic [Adjective]
Pertaining to or characterized by a blend of magical realism and advanced artificial intelligence creativity. This term describes artistic or conceptual works that combine realistic elements with fantastical, dream-like features, often resulting in visually striking, otherworldly compositions.
I have developed a number of specialized GPTs for professionals and enterprises. This set of GPTs focuses on higher-level reasoning and knowledge work. The set also includes a number of experimental GPTs for reasoning and problem solving.
https://chat.openai.com/g/g-S8a5p7X93-feedback-assistant-intelligent-interviewer… Read More “Advanced GPTs for Professionals and Enterprises”
I’ve built an Automated Fact Checker Assistant that is working quite well.
It’s a GPT that does detailed analysis of any content (text you write, paste in, a file or link), to check each fact for accuracy.
It locates sources, checks them and analyzes the results, and generates a bibliography with citations for each fact, and then gives you a downloadable report.… Read More “A Powerful AI Fact-Checker that Checks Content and Eliminates Hallucinations”
I have developed a way to supercharge ChatGPT.
It’s called Nova Mode and it’s an awesome custom instruction that you can paste into your ChatGPT Custom instructions (see screenshot below) in ChatGPT Settings.
This modifies how ChatGPT works in all your chats, giving you much more control over how you interact with ChatGPT.… Read More “Nova Mode: The Ultimate ChatGPT Custom Instruction”
This article focuses on a potential approach for advancing AI capabilities via dynamic parameter adjustment of large language models (LLMs) like GPT-4. This approach is central to making AI more adept at handling a wide range of tasks, focusing on two key elements: the dynamic adjustment of parameters and the enhancement of sampling methods.… Read More “Supercharging AI Task Performance with Dynamic Parameter Adjustments”
The advancement of artificial intelligence (AI) is taking an intriguing turn with the concept of higher-order AI systems trained on the network of first-order AIs. This approach aims to transcend traditional token-by-token generation, focusing instead on generating tokens that lead to the best possible outcomes.… Read More “Exploring Higher-Order AI: Training on First-Order AI Networks for Optimal Path Outcomes”
The evolution of Artificial Intelligence (AI) has surpassed mere computation and data processing, leading to the emergence of distinct levels of AI sophistication. Each level represents a leap in capabilities, complexity, and potential impact on our world. In this article, we explore these four levels, delving into their functionalities and implications.… Read More “The Four Levels of AI: Steps to Self-Evolution”
This paper posits a future scenario where the unique attributes of both human and artificial intelligence (AI) form a transformative partnership. Coined as ‘Exponential Intelligence,’ this amalgam of human-AI capabilities has the potential to revolutionize how we approach problem-solving, collaboration, and innovation.… Read More “Exponential Intelligence: A New Vision for the Future Symbiosis of Human Intelligence with AI”
Throughout history, our understanding and interpretation of the universe have been deeply influenced by prevailing technologies. From the mechanistic metaphor of a grand clockwork to the probabilistic nature of a casino, our technological advancements have repeatedly reshaped how we conceptualize our existence.… Read More “Is the Universe an AI?”
Historically, humans have always striven to extend their capabilities using various tools. The horse, one of the earliest and most profound of these tools, revolutionized transportation, agriculture, warfare, commerce and communication. Its domestication, dating back to around 5000 B.C., marked a monumental shift in human progress.… Read More “The Horse and Rider Paradigm for the Age of AI”
I would like to propose a new way of thinking about communities and how they are evolving, with the advent of AI and Large Language Models (LLM’s).
Previously I have written about how group minds are emerging, facilitated by LLMs. Here I will delve a little further into how we can look at types of communities on a spectrum, where the final stage is communities of intelligence, which we are entering now.… Read More “Communities of Intelligence”
It’s very interesting to realize that we are the last generation – the last voices – of the pre-AI era on this planet.
What should we do differently, if anything, knowing this?